Alex Garland on ‘Devs,’ free will and quantum computing – Engadget

Garland views Amaya as a typical Silicon Valley success story. In the world of Devs, it's the first company that manages to mass produce quantum computers, allowing them to corner that market. (Think of what happened to search engines after Google debuted.) Quantum computing has been positioned as a potentially revolutionary technology for things like healthcare and encryption, since it can tackle complex scenarios and data sets more effectively than traditional binary computers. Instead of just processing inputs one at a time, a quantum machine would theoretically be able to tackle an input in multiple states, or superpositions, at once.

By mastering this technology, Amaya unlocks a completely new view of reality: The world is a system that can be decoded and predicted. It proves to them that the world is deterministic. Our choices don't matter; we're all just moving along predetermined paths until the end of time. Garland is quick to point out that you don't need anything high-tech to start asking questions about determinism. Indeed, it's something that's been explored since Plato's allegory of the cave.

"What I did think, though, was that if a quantum computer was as good at modeling quantum reality as it might be, then it would be able to prove in a definitive way whether we lived in a deterministic state," Garland said. "[Proving that] would completely change the way we look at ourselves, the way we look at society, the way society functions, the way relationships unfold and develop. And it would change the world in some ways, but then it would restructure itself quickly."

The sheer difficulty of coming up with something -- anything -- that's truly spontaneous and isn't causally related to something else in the universe is the strongest argument in favor of determinism. And it's something Garland aligns with personally -- though that doesn't change how he perceives the world.

"Whether or not you or I have free will, both of us could identify lots of things that we care about," he said. "There are lots of things that we enjoy or don't enjoy. Or things that we're scared of, or we anticipate. And all of that remains. It's not remotely affected by whether we've got free will or not. What might be affected is, I think, our capacity to be forgiving in some respects. And so, certain kinds of anti-social or criminal behavior, you would start to think about in terms of rehabilitation, rather than punishment. Because then, in a way, there's no point punishing someone for something they didn't decide to do."

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Alex Garland on 'Devs,' free will and quantum computing - Engadget

RAND report finds that, like fusion power and Half Life 3, quantum computing is still 15 years away – The Register

Quantum computers pose an "urgent but manageable" threat to the security of modern communications systems, according to a report published Thursday by influential US RAND Corporation.

The non-profit think tank's report, "Securing Communications in the Quantum Computing Age: Managing the Risks to Encryption," urges the US government to act quickly because quantum code-breaking could be a thing in, say, 12-15 years.

If adequate implementation of new security measures has not taken place by the time capable quantum computers are developed, it may become impossible to ensure secure authentication and communication privacy without major, disruptive changes, said Michael Vermeer, a RAND scientist and lead author of the report in a statement.

Experts in the field of quantum computing like University of Texas at Austin computer scientist Scott Aaronson have proposed an even hazier timeline.

Noting that the quantum computers built by Google and IBM have been in the neighborhood of 50 to 100 quantum bits (qubits) and that running Shor's algorithm to break public key RSA cryptosystems would probably take several thousand logical qubits meaning millions of physical qubits due to error correction Aaronson recently opined, "I dont think anyone is close to that, and we have no idea how long it will take."

But other boffins, like University of Chicago computer science professor Diana Franklin, have suggested Shor's algorithm might be a possibility in a decade and a half.

So even though quantum computing poses a theoretical threat to most current public-key cryptography and less risk for lattice-based, symmetric, privacy key, post-quantum, and quantum cryptography there's not much consensus about how and when this threat might manifest itself.

Nonetheless, the National Institute of Standards and Technology, the US government agency overseeing tech standards, has been pushing the development of quantum-resistant cryptography since at least 2016. Last year it winnowed a list of proposed post-quantum crypto (PQC) algorithms down to a field of 26 contenders.

The RAND report anticipates quantum computers capable of crypto-cracking will be functional by 2033, with the caveat that experts propose dates both before and after that. PQC algorithm standards should gel within the next five years, with adoption not expected until the mid-to-late 2030s, or later.

But the amount of time required for the US and the rest of the world to fully implement those protocols to mitigate the risk of quantum crypto cracking may take longer still. Note that the US government is still running COBOL applications on ancient mainframes.

"If adequate implementation of PQC has not taken place by the time capable quantum computers are developed, it may become impossible to ensure secure authentication and communication privacy without major, disruptive changes to our infrastructure," the report says.

RAND's report further notes that consumer lack of awareness and indifference to the issue means there will be no civic demand for change.

Hence, the report urges federal leadership to protect consumers, perhaps unaware that Congress is considering the EARN-IT Act, which critics characterize as an "all-out assault on encryption."

"If we act in time with appropriate policies, risk reduction measures, and a collective urgency to prepare for the threat, then we have an opportunity for a future communications infrastructure that is as safe as or more safe than the current status quo, despite overlapping cyber threats from conventional and quantum computers," the report concludes.

It's worth recalling that a 2017 National Academy of Sciences, Engineering, and Medicine report, "Global Health and the Future Role of the United States," urged the US to maintain its focus on global health security and to prepare for infection disease threats.

That was the same year nonprofit PATH issued a pandemic prevention report urging the US government to "maintain its leadership position backed up by the necessary resources to ensure continued vigilance against emerging pandemic threats, both at home and abroad."

The federal government's reaction to COVID-19 is a testament to the impact of reports from external organizations. We can only hope that the threat of crypto-cracking quantum computers elicits a response that's at least as vigorous.

Sponsored: Webcast: Build the next generation of your business in the public cloud

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RAND report finds that, like fusion power and Half Life 3, quantum computing is still 15 years away - The Register

Making Sense of the Science and Philosophy of Devs – The Ringer

Let me welcome you the same way Stewart welcomes Forest in Episode 7 of the Hulu miniseries Devs: with a lengthy, unattributed quote.

We may regard the present state of the universe as the effect of its past and the cause of its future. An intellect which at any given moment knew all of the forces that animate nature and the mutual positions of the beings that compose it, if this intellect were vast enough to submit the data to analysis, could condense into a single formula the movement of the greatest bodies of the universe and that of the lightest atom; for such an intellect nothing could be uncertain and the future, just like the past, would be present before its eyes.

Its a passage that sounds as if it could have come from Forest himself. But its not from Forest, or Katie, or evenas Katie might guess, based on her response to Stewarts Philip Larkin quoteShakespeare. Its from the French scholar and scientist Pierre-Simon Laplace, who wrote the idea down at the end of the Age of Enlightenment, in 1814. When Laplace imagined an omniscient intellectwhich has come to be called Laplaces demonhe wasnt even saying something original: Other thinkers beat him to the idea of a deterministic, perfectly predictable universe by decades and centuries (or maybe millennia).

All of which is to say that despite the futuristic setting and high-tech trappings of Devsthe eight-part Alex Garland opus that will reach its finale next weekthe series central tension is about as old as the abacus. But theres a reason the debate about determinism and free will keeps recurring: Its an existential question at the heart of human behavior. Devs doesnt answer it in a dramatically different way than the great minds of history have, but it does wrap up ancient, brain-breaking quandaries in a compelling (and occasionally kind of confusing) package. Garland has admitted as much, acknowledging, None of the ideas contained here are really my ideas, and its not that I am presenting my own insightful take. Its more Im saying some very interesting people have come up with some very interesting ideas. Here they are in the form of a story.

Devs is a watchable blend of a few engaging ingredients. Its a spy thriller that pits Russian agents against ex-CIA operatives. Its a cautionary, sci-fi polemic about a potentially limitless technology and the hubris of big tech. Like Garlands previous directorial efforts, Annihilation and Ex Machina, its also a striking aesthetic experience, a blend of brutalist compounds, sleek lines, lush nature, and an exciting, unsettling soundtrack. Most of all, though, its a meditation on age-old philosophical conundrums, served with a garnish of science. Garland has cited scientists and philosophers as inspirations for the series, so to unravel the riddles of Devs, I sought out some experts whose day jobs deal with the dilemmas Lily and Co. confront in fiction: a computer science professor who specializes in quantum computing, and several professors of philosophy.

There are many questions about Devs that we wont be able to answer. How high is Kentons health care premium? Is it distracting to work in a lab lit by a perpetually pulsing, unearthly golden glow? How do Devs programmers get any work done when they could be watching the worlds most riveting reality TV? Devs doesnt disclose all of its inner workings, but by the end of Episode 7, its pulled back the curtain almost as far as it can. The main mystery of the early episodeswhat does Devs do?is essentially solved for the viewer long before Lily learns everything via Katies parable of the pen in Episode 6. As the series proceeds, the spy stuff starts to seem incidental, and the characters motivations become clear. All that remains to be settled is the small matter of the intractable puzzles that have flummoxed philosophers for ages.

Heres what we know. Forest (Nick Offerman) is a tech genius obsessed with one goal: being reunited with his dead daughter, Amaya, who was killed in a car crash while her mother was driving and talking to Forest on the phone. (Hed probably blame himself for the accident if he believed in free will.) He doesnt disguise the fact that he hasnt moved on from Amaya emotionally: He names his company after her, uses her face for its logo, and, in case those tributes were too subtle, installs a giant statue of her at corporate HQ. (As a metaphor for the way Amaya continues to loom over his life, the statue is overly obvious, but at least it looks cool.) Together with a team of handpicked developers, Forest secretly constructs a quantum computer so powerful that, by the end of the penultimate episode, it can perfectly predict the future and reverse-project the past, allowing the denizens of Devs to tune in to any bygone event in lifelike clarity. Its Laplaces demon made real, except for the fact that its powers of perception fail past the point at which Lily is seemingly scheduled to do something that the computer cant predict.

I asked Dr. Scott Aaronson, a professor of computer science at the University of Texas at Austin (and the founding director of the schools Quantum Information Center) to assess Devs depiction of quantum computing. Aaronsons website notes that his research concentrates on the capabilities and limits of quantum computers, so hed probably be one of Forests first recruits if Amaya were an actual company. Aaronson, whom I previously consulted about the plausibility of the time travel in Avengers: Endgame, humored me again and watched Devs despite having been burned before by Hollywoods crimes against quantum mechanics. His verdict, unsurprisingly, is that the quantum computing in Devslike that of Endgame, which cites one of the same physicists (David Deutsch) that Garland said inspired himis mostly hand-wavy window dressing.

A quantum computer is a device that uses a central phenomenon of quantum mechanicsnamely, interference of amplitudesto solve certain problems with dramatically better scaling behavior than any known algorithm running on any existing computer could solve them, Aaronson says. If youre wondering what amplitudes are, you can read Aaronsons explanation in a New York Times op-ed he authored last October, shortly after Google claimed to have achieved a milestone called quantum supremacythe first use of a quantum computer to make a calculation far faster than any non-quantum computer could. According to Googles calculations, the task that its Sycamore microchip performed in a little more than three minutes would have taken 100,000 of the swiftest existing conventional computers 10,000 years to complete. Thats a pretty impressive shortcut, and were still only at the dawn of the quantum computing age.

However, that stat comes with a caveat: Quantum computers arent better across the board than conventional computers. The applications where a quantum computer dramatically outperforms classical computers are relatively few and specialized, Aaronson says. As far as we know today, theyd help a lot with prediction problems only in cases where the predictions heavily involve quantum-mechanical behavior. Potential applications of quantum computers include predicting the rate of a chemical reaction, factoring huge numbers and possibly cracking the encryption that currently protects the internet (using Shors algorithm, which is briefly mentioned on Devs), and solving optimization and machine learning problems. Notice that reconstructing what Christ looked like on the cross is not on this list, Aaronson says.

In other words, the objective that Forest is trying to achieve doesnt necessarily lie within the quantum computing wheelhouse. To whatever extent computers can help forecast plausible scenarios for the past or future at all (as we already have them do for, e.g., weather forecasting), its not at all clear to what extent a quantum computer even helpsone might simply want more powerful classical computers, Aaronson says.

Then theres the problem that goes beyond the question of quantum vs. conventional: Either kind of computer would require data on which to base its calculations, and the data set that the predictions and retrodictions in Devs would demand is inconceivably detailed. I doubt that reconstructing the remote past is really a computational problem at all, in the sense that even the most powerful science-fiction supercomputer still couldnt give you reliable answers if it lacked the appropriate input data, Aaronson says, adding, As far as we know today, the best that any computer (classical or quantum) could possibly do, even in principle, with any data we could possibly collect, is to forecast a range of possible futures, and a range of possible pasts. The data that it would need to declare one of them the real future or the real past simply wouldnt be accessible to humankind, but rather would be lost in microscopic puffs of air, radiation flying away from the earth into space, etc.

In light of the unimaginably high hurdle of gathering enough data in the present to reconstruct what someone looked or sounded like during a distant, data-free age, Forest comes out looking like a ridiculously demanding boss. We get it, dude: You miss Amaya. But how about patting your employees on the back for pulling off the impossible? The idea that chaos, the butterfly effect, sensitive dependence on initial conditions, exponential error growth, etc. mean that you run your simulation 2000 years into the past and you end up with only a blurry, staticky image of Jesus on the cross rather than a clear image, has to be, like, the wildest understatement in the history of understatements, Aaronson says. As for the future, he adds, Predicting the weather three weeks from now might be forever impossible.

On top of all that, Aaronson says, The Devs headquarters is sure a hell of a lot fancier (and cleaner) than any quantum computing lab that Ive ever visited. (Does Kenton vacuum between torture sessions?) At least the computer more or less looks like a quantum computer.

OK, so maybe I didnt need to cajole a quantum computing savant into watching several hours of television to confirm that theres no way we can watch cavepeople paint. Garland isnt guilty of any science sins that previous storytellers havent committed many times. Whenever Aaronson has advised scriptwriters, theyve only asked him to tell them which sciencey words would make their preexisting implausible stories sound somewhat feasible. Its probably incredibly rare that writers would let the actual possibilities and limits of a technology drive their story, he says.

Although the show name-checks real interpretations of quantum mechanicsPenrose, pilot wave, many-worldsit doesnt deeply engage with them. The pilot wave interpretation holds that only one future is real, whereas many-worlds asserts that a vast number of futures are all equally real. But neither one would allow for the possibility of perfectly predicting the future, considering the difficulty of accounting for every variable. Garland is seemingly aware of how far-fetched his story is, because on multiple occasions, characters like Lily, Lyndon, and Stewart voice the audiences unspoken disbelief, stating that something or other isnt possible. Whenever they do, Katie or Forest is there to tell them that it is. Which, well, fine: Like Laplaces demon, Devs is intended as more of a thought experiment than a realistic scenario. As Katie says during her blue pill-red pill dialogue with Lily, Go with it.

We might as well go along with Garland, because any scientific liberties he takes are in service of the seriess deeper ideas. As Aaronson says, My opinion is that the show isnt really talking about quantum computing at allits just using it as a fancy-sounding buzzword. Really its talking about the far more ancient questions of determinism vs. indeterminism and predictability vs. unpredictability. He concludes, The plot of this series is one that wouldve been totally, 100 percent familiar to the ancient Greeksjust swap out the quantum computer for the Delphic Oracle. Aaronsonwho says he sort of likes Devs in spite of its quantum technobabblewould know: He wrote a book called Quantum Computing Since Democritus.

Speaking of Democritus, lets consult a few philosophers on the topic of free will. One of the most mind-bending aspects of Devs adherence to hard determinismthe theory that human behavior is wholly dictated by outside factorsis its insistence that characters cant change their behavior even if theyve seen the computers prediction of what theyre about to do. As Forest asks Katie, What if one minute into the future we see you fold your arms, and you say, Fuck the future. Im a magician. My magic breaks tram lines. Im not going to fold my arms. You put your hands in your pockets, and you keep them there until the clock runs out.

It seems as if she should be able to do what she wants with her hands, but Katie quickly shuts him down. Cause precedes effect, she says. Effect leads to cause. The future is fixed in exactly the same way as the past. The tram lines are real. Of course, Katie could be wrong: A character could defy the computers prediction in the finale. (Perhaps thats the mysterious unforeseeable event.) But weve already seen some characters fail to exit the tram. In an Episode 7 scenewhich, as Aaronson notes, is highly reminiscent of the VHS scene in Spaceballswe see multiple members of the Devs team repeat the same statements that theyve just heard the computer predict they would make a split second earlier. They cant help but make the prediction come true. Similarly, Lily ends up at Devs at the end of Episode 7, despite resolving not to.

Putting aside the implausibility of a perfect prediction existing at all, does it make sense that these characters couldnt deviate from their predicted course? Yes, according to five professors of philosophy I surveyed. Keep in mind what Garland has cited as a common criticism of his work: that the ideas I talk about are sophomoric because theyre the kinds of things that people talk about when theyre getting stoned in their dorm rooms. Were about to enter the stoned zone.

In this story, [the characters] are in a totally deterministic universe, says Ben Lennertz, an assistant professor of philosophy at Colgate University. In particular, the watching of the video of the future itself has been determined by the original state of the universe and the laws. Its not as if things were going along and the person was going to cross their arms, but then a non-deterministic miracle occurred and they were shown a video of what they were going to do. The watching of the video and the persons reaction is part of the same progression as the scene the video is of. In essence, the computer would have already predicted its own predictions, as well as every characters reaction to them. Everything that happens was always part of the plan.

Ohio Wesleyan Universitys Erin Flynn echoes that interpretation. The people in those scenes do what they do not despite being informed that they will do it, but (in part) because they have been informed that they will do it, Flynn says. (Think of Katie telling Lyndon that hes about to balance on the bridge railing.) This is not to say they will be compelled to conform, only that their knowledge presumably forms an important part of the causal conditions leading to their actions. When the computer sees the future, the computer sees that what they will do is necessitated in part by this knowledge. The computer would presumably have made different predictions had people never heard them.

Furthermore, adds David Landy of San Francisco State University, the fact that we see something happen one way doesnt mean that it couldnt have happened otherwise. Suppose we know that some guy is going to fold his arms, Landy says. Does it follow that he lacks the ability to not fold his arms? Well, no, because what we usually mean by has the ability to not fold his arms is that if things had gone differently, he wouldnt have folded his arms. But by stipulating at the start that he is going to fold his arms, we also stipulate that things arent going to go differently. But it can remain true that if they did go differently, he would not have folded his arms. So, he might have that ability, even if we know he is not going to exercise it.

If your head has started spinning, you can see why the Greeks didnt settle this stuff long before Garland got to it. And if it still seems strange that Forest seemingly cant put his hands in his pockets, well, what doesnt seem strange in the world of Devs? We should expect weird things to happen when we are talking about a very weird situation, Landy says. That is, we are used to people reliably doing what they want to do. But we have become used to that by making observations in a certain environment: one without time travel or omniscient computers. Introducing those things changes the environment, so we shouldnt be surprised if our usual inferences no longer hold.

Heres where we really might want to mime a marijuana hit. Neal Tognazzini of Western Washington University points out that one could conceivably appear to predict the future by tapping into a future that already exists. Many philosophers reject determinism but nevertheless accept that there are truths about what will happen in the future, because they accept a view in the philosophy of time called eternalism, which is (roughly) the block universe ideapast, present, and future are all parts of reality, Tognazzini says. This theory says that the past and the future exist some temporal distance from the presentwe just havent yet learned to travel between them. Thus, Tognazzini continues, You can accept eternalism about time without accepting determinism, because the first is just a view about whether the future is real whereas the second is a view about how the future is connected to the past (i.e., whether there are tram lines).

According to that school of thought, the future isnt what has to happen, its simply what will happen. If we somehow got a glimpse of our futures from the present, it might appear as if our paths were fixed. But those futures actually would have been shaped by our freely chosen actions in the interim. As Tognazzini says, Its a fate of our own makingwhich is just to say, no fate at all.

If we accept that the members of Devs know what theyre doing, though, then the computers predictions are deterministic, and the past does dictate the future. Thats disturbing, because it seemingly strips us of our agency. But, Tognazzini says, Even then, its still the case that what we do now helps to shape that future. We still make a difference to what the future looks like, even if its the only difference we could have made, given the tram lines we happen to be on. Determinism isnt like some force that operates independently of what we want, making us marionettes. If its true, then it would apply equally to our mental lives as well, so that the future that comes about might well be exactly the future we wanted.

This is akin to the compatibilist position espoused by David Hume, which seeks to reconcile the seemingly conflicting concepts of determinism and free will. As our final philosopher, Georgetown Universitys William Blattner, says, If determinism is to be plausible, it must find a way to save the appearances, in this case, explain why we feel like were choosing, even if at some level the choice is an illusion. The compatibilist perspective concedes that there may be only one possible future, but, Flynn says, insists that there is a difference between being causally determined (necessitated) to act and being forced or compelled to act. As long as one who has seen their future does not do what has been predicted because they were forced to do it (against their will, so to speak), then they will still have done it freely.

In the finale, well find out whether the computers predictions are as flawless and inviolable as Katie claims. Well also likely learn one of Devs most closely kept secrets: What Forest intends to do with his perfect model of Amaya. The show hasnt hinted that the computer can resurrect the dead in any physical fashion, so unless Forest is content to see his simulated daughter on a screen, he may try to enter the simulation himself. In Episode 7, Devs seemed to set the stage for such a step; as Stewart said, Thats the reality right there. Its not even a clone of reality. The box contains everything.

Would a simulated Forest, united with his simulated daughter, be happier inside the simulation than he was in real life, assuming hes aware hes inside the simulation? The philosopher Robert Nozick explored a similar question with his hypothetical experience machine. The experience machine would stimulate our brains in such a way that we could supply as much pleasure as we wanted, in any form. It sounds like a nice place to visit, and yet most of us wouldnt want to live there. That reluctance to enter the experience machine permanently seems to suggest that we see some value in an authentic connection to reality, however unpleasurable. Thinking Im hanging out with my family and friends is just different from actually hanging out with my family and friends, Tognazzini says. And since I think relationships are key to happiness, Im skeptical that we could be happy in a simulation.

If reality were painful enough, though, the relief from that pain might be worth the sacrifice. Suppose, for instance, that the real world had become nearly uninhabitable or otherwise full of misery, Flynn says. It seems to me that life in a simulation might be experienced as a sanctuary. Perhaps ones experience there would be tinged with sadness for the lost world, but Im not sure knowing its a simulation would necessarily keep one from being happy in it. Forest still seems miserable about Amaya IRL, so for him, that trade-off might make sense.

Whats more, if real life is totally deterministic, then Forest may not draw a distinction between life inside and outside of his quantum computer. If freedom is a critical component of fulfillment, then its hard to see how we could be fulfilled in a simulation, Blattner says. But for Forest, freedom isnt an option anywhere. Something about the situation seems sad, maybe pathetic, maybe even tragic, Flynn says. But if the world is a true simulation in the matter described, why not just understand it as the ability to visit another real world in which his daughter exists?

Those who subscribe to the simulation hypothesis believe that what we think of as real lifeincluding my experience of writing this sentence and your experience of reading itis itself a simulation created by some higher order of being. In our world, it may seem dubious that such a sophisticated creation could exist (or that anything or anyone would care to create it). But in Forests world, a simulation just as sophisticated as real life already exists inside Devswhich means that what Forest perceives as real life could be someone elses simulation. If hes possibly stuck inside a simulation either way, he might as well choose the one with Amaya (if he has a choice at all).

Garland chose to tell this story on TV because on the big screen, he said, it would have been slightly too truncated. On the small screen, its probably slightly too long: Because weve known more than Lily all along, what shes learned in later episodes has rehashed old info for us. Then again, Devs has felt familiar from the start. If Laplace got a pass for recycling Cicero and Leibniz, well give Garland a pass for channeling Laplace. Whats one more presentation of a puzzle thats had humans flummoxed forever?

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Making Sense of the Science and Philosophy of Devs - The Ringer

Quantum Computing: What You Need To Know – Inc42 Media

Quantum computers can process massive, complex datasets more efficiently and effectively than classical computers

Quantum computers has tremendous applications

With time, the tech will get democratised and trickle down to the consumer

There is a huge wave of research currently being done in the field of Quantum Computing. This research might just be the pioneering technological breakthrough that will enhance our future beyond what we can comprehend. Before we talk about what it is, lets get a bit of context.

Putting his pulse on the emerging trends, Gordon Moore, founder of Intel, figured that computing power would increase in power and decrease in cost exponentially with time. This became the basis of what is known as Moores Law, a golden rule for the electronics industry, and clarion call innovation. Since then Moores law has barely faltered in its unrelenting march. However, computing is now en route to hitting a wall.

Moores law is slowing down Computing power isnt increasing as quickly as it used to. Classical computers are turning out to be inefficient at solving many new problems like optimising multiple variables for decisions or simulating complex models.

These problems need computers to flip through multiple solutions and make myriad computations. Classical computers arent able to compute as quickly as these problems demand because they have to compute sequentially, or with limited parallelism

Most believe the way to overcome this barrier is by inventing a completely new paradigm of computing quantum computing.

What exactly is Quantum computing? Simply put, Quantum computers can process massive, complex datasets more efficiently and effectively than classical computers. In Classical computers, data for information processing is encoded into binary digits (bits) and have a value or state of either a 0 or 1.

In quantum computing, data is encoded in quantum bits (qubits) which can have values of 0, 1, or any quantum superposition of the two-qubit states. What this means is the bit can be both 0 and 1 at the same time.

Lets use a simple example to illustrate the potential. Imagine you have just gone grocery shopping and have bought 4 items of varying size. You also have one bag to place all four into. One has to select the most optimum way to fill the bag as to not damage the groceries.

Assuming you have no knowledge of which combination works and how the items interact with each other, it only makes sense for you to try all possible arrangements one by one and see which one gives you the best results.

But going through each arrangement one by one will take time, since there are 24 possible arrangements. What if you could have 24 helpers who could simultaneously fill up 24 bags with one of the arrangements and shout out the result to you?

Then you could find the optimal arrangement in the time of essentially filling one bag. Thats what a quantum computer allows you to do. It allows you to access all possible states and variables parallelly and not just sequentially.

I believe this power of Quantum Computers has tremendous applications. Over the next 5 decades, I believe we will reach an inflexion point of qubit capability. The initial machines will be accessible to enterprises, which will spawn an ancillary industry of complementary tools that provide easier interfaces to computers through classical computers.

With time, the tech will get democratised and trickle down to the consumer. An industry around QC software and algorithms will then have truly arrived.

As the number of qubits in quantum computers increase, we will first start seeing optimisation and data access problems being solved first. For example, with enough qubits, we could use quantum computers to assemble and sort through all possible gene variants parallelly and find all pairs of nucleotides the building blocks of DNA and sequence the genome in a very short period of time.

This would revolutionise the health industry as sequencing the DNAs at scale would allow us to understand our genetic makeup at a deeper level. The results of access to that kind of knowledge are unfathomable.

Next, through significant improvements in our quantum capacity, we will be able to use quantum computers for simulating complex systems and behaviours in near real-time and with high fidelity.

Imagine simulating the earths winds and waves with such accuracy so as to predict storms days before they come. Imagine simulating how the winds on a particular day would interact with a flight on a particular day and route it would allow us to measure turbulence, optimise flight paths, and better in advance.

Regardless of the path we take, Quantum Computing is here to stay. Its a key piece in the puzzle that is human growth. 10 years, 100 years, or maybe even a 1,000 years down, we will wonder how we lived without them.

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Quantum Computing: What You Need To Know - Inc42 Media

Securing IoT in the Quantum Age – Eetasia.com

Article By : Maurizio Di Paolo Emilio

Quantum computers will make security mechanisms vulnerable to new types of cyberattacks a problem for both chip cards and complex technological systems...

Quantum computers will make current security mechanisms vulnerable to new types of cyberattacks a real problem for both chip cards and complex technological systems such as networked vehicles or industrial control systems. They have the potential to break the cryptographic patterns widely used in internet of things data communication systems.

With the advent of quantum computers, modern encryption algorithms are undergoing an evolution that will significantly change their current use. In order to support the security of the internet and other cryptographic-based technologies, it is necessary to increase mathematical research to build the cryptography of tomorrow, which is resistant to quantum attacks and will become known as post-quantum or quantum-resistant cryptography.

A quantum computer that could break cryptography would be a powerful tool for attackers, said Dr. Thomas Poeppelmann, senior staff engineer, Infineon Technologies.

According to the latest Thales Data Threat Report, 72 percent of the security experts surveyed worldwide believe that quantum computing power will affect data security technologies within the next five years. Robust and future-proof security solutions are therefore necessary. The potential threats are widespread, everything from the cars of the future to industrial robots.

IoT security

The modern use of cryptography aims to help ensure the confidentiality, authenticity, and integrity of the multiple data traveling in the IoT ecosystem, both the consumer and industrial one.

Security requirements of IoT devices can be very complex, said Poeppelmann. As a result, security cannot be achieved by a single technology or method. For example, a vendor has to consider aspects like secured software development, protected patch management, supply chain security, protection against physical attacks, trust and identity management, and secured communication.

Many companies, such as Infineon, are developing chip-based quantum security mechanisms. In particular, the applicability and practical implementation of quantum security cryptographic methods for embedded systems will be highlighted.

An IoT device has to check that a software update is really from the vendor and that it was not created by an attacker, said Poeppelmann. If the cryptographic methods used in an IoT device can be broken by an attacker, this would expose it to a lot of vulnerabilities. With quantum-safe cryptography, we want to provide our customers with cryptographic methods that are even protected against attacks using quantum computers. With our post-quantum technology, we aim to provide security in the long term and against very powerful attackers.

A classic computer attacker can use all the necessary means, such as artificial intelligence and increasingly powerful computers, to defeat security barriers.

Depending on the results and tasks, an attacker may be willing to spend several months of work to break a cryptographic pattern. Developers must provide maximum security that is accessible and easy-to-integrate solutions.

The security industry is developing cryptography that can be executed on cost-efficient classical computers or even tiny smart card chips while being guarded against even the most powerful attackers, said Poeppelmann.

He added, This situation is also applicable to the development of post-quantum cryptography that should withstand quantum computing power. The defender could still be implementing cryptography on classical computers and machines, while the attacker may use a quantum computer in the near future. Current approaches for so-called quantum-key distribution [QKD], where quantum technology is used to achieve confidentiality, are currently too expensive or too constraining, whereas current assessments of post-quantum cryptography prove that it could be quantum-safe as well as affordable. This is why we at Infineon focus on the development of post-quantum cryptography [PQC].

Security for IoT(Image: Infineon Technologies)

Large-scale QKD technology has already been tested in several countries to provide secure quantum protection to critical infrastructures.

Today, cryptography is used in many applications in automobiles and industrial control equipment. This aims to prevent the transfer of malware that could disrupt security systems and seriously endanger independent driving and production equipment.

Conventional encryption tools such as elliptical curve encryption are indestructible for todays computers. However, with constant progress in the development of quantum computers, many encryption algorithms may become ineffective in the near future.

Projects

The project Aquorypt will investigate the applicability and practical implementation of quantum-safe cryptographic methods for embedded systems. The project team evaluates procedures that have an adequate security level and implements them efficiently in hardware and software. The results could be used to protect industrial control systems with a long service life.

In the Aquorypt research project, the Technical University of Munich (TUM) will collaborate with researchers and industrial partners to develop new protection measures for the quantum computing era.

The project will first assess several new protocols and check if the new protocols are suitable for the use cases; i.e. industrial control and chip cards, said Poeppelmann. The best way to build a secured system is always a combination of appropriate software and hardware methods. However, some security goals cannot be achieved if the underlying hardware is not secured. Some bugs cannot be fixed by software alone.

Another project, PQC4MED, is focused on embedded systems in medical products. The associated hardware and software must allow the exchange of cryptographic procedures to counteract external threats. The solution will be tested in a use case in the field of medical technology.

In health-care applications, data privacy and data security are of particular importance, said Poeppelmann. Moreover, these devices have been in the field for a very long time so that software needs to be updated to comply with the latest regulations. As a consequence, it is important to first understand how suppliers of health-care devices could handle the threats caused by attacks using quantum computers. And secondly, [it is important] to research how they can implement software updates and software management mechanisms that allow [protection of] a device over its life cycle of more than 20 years. If the security of the update mechanism is low, an attacker will always take the path of least resistance and attack this component.

Infineon is working in this field for the development and standardization of New Hope and SPHINCS+ quantum security cryptographic schemes. New Hope is a key exchange protocol based on the Ring-Learning-with-Errors (Ring-LWE, or RLWE) problem.

Ring-LWE has been designed to protect against cryptoanalysis of quantum computers and also to provide the basis for homomorphic encryption. A key advantage of RLWE-based cryptography is in the size of the public and private keys.

SPHINCS+ is a stateless hash-based signature scheme based on conservative security assumptions.

Googles quantum computer

Conclusion

Cyberattacks on industrial plants could lead to the theft of knowledge about production processes or to tampering plants with a loss of production efficiency. Over time, electronic systems will become increasingly more networked and information security will play a key role.

As for security, post-quantum cryptography now mainly needs standards and awareness, said Poeppelmann. The standards are required to grant interoperability of different systems; e.g., an IoT device communicating with a cloud system. Device manufacturers, on the other hand, should be aware that quantum computers can become a real threat to their solutions security. They should assess future risks as properly [as possible] and implement appropriate security as early as possible.

In addition to security, a second factor in determining whether a cryptographic algorithm can be used in a given application environment is its efficiency. The performance takes into account not only processing speed but also memory requirements: key size, data expansion speed, signature size, etc. For example, schemes based on more structured mathematical problems tend to have reduced keys.

Quantum technology such as quantum computers or quantum sensors have different requirements for market adoption, said Poeppelmann. For the adoption of quantum computers, we need a computer that is really able to prove a benefit for real-world tasks (e.g., chemical analysis, AI, etc.) over currently used cloud methods. In general, it is important to raise awareness to foster market adoption of quantum-resistant cryptography. The threat is real, but with PQC, we have a migration path available.

Improving the strength of encryption remains a goal for many IT security experts. As computers become smarter and faster and codes become easier to decode, a more advanced encryption mechanism is more urgently needed.

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Securing IoT in the Quantum Age - Eetasia.com

Quantum computing at the nanoscale – News – The University of Sydney

Sometimes youd be the only person in the world with this new piece of knowledge. Its a pretty wild feeling

Professor David Reilly

Its been said that quantum computing will be like going from candlelight to electric light in the way it will transform how we live. Quite a picture, but what exactly is quantum computing?

For the answer to that question, well have to visit a scale of existence so small that the usual rules of physics are warped, stretched and broken, and there are few layperson terms to lean on. Strap yourself in.

Luckily, we have a world-leading researcher in quantum computing, Professor David Reilly, to guide us. Most modern technologies are largely based on electromagnetism and Newtonian mechanics, says Reilly in a meeting room at the Universitys Nano Hub. Quantum computing taps into an enormous new area of nano physics that we havent harnessed yet.

With his youthful looks and laid-back demeanour, Reilly isnt how you might picture a quantum physicist. He has five Fender guitars (with not much time to play them), and a weakness for single malt Scotches. That said, science has never been far below the surface. As a child, he would pull apart flashlights to see how they worked. During his PhD years, knowledge was more important than sleep; he often worked past 3am to finish experiments.

Sometimes youd be the only person in the world with this new piece of knowledge. Its a pretty wild feeling. A good place to start the quantum computing story is with the humble transistor, which is simply a switch that allows, blocks or varies the flow of electricity, or more correctly, electrons. Invented in 1947, it replaced the large, energy-hungry vacuum tubes in radios and amplifiers, also finding its way into computers.

This off/on gate effect of transistors is the origin of the zeroes and ones idea in traditional (aka classical) computers. Ever-shrinking transistors are also how computers have gone from room-filing monsters to tiny devices in our pockets currently, just one square millimetre of computer chip can hold 100 million transistors.

Incredible, yes, but also unsustainable. With transistors now operating at the size of atoms, they literally cant get much smaller, and theyre now at a scale where the different, nanoscale laws of physics are warping and compromising their usefulness. At that scale, an electron stops behaving like a ball being stopped by the transistor gate, Reilly says. Its more like a wave. It can actually tunnel through or teleport to the other side, so the on/off effect is lost.

Quantum computing seeks to solve this problem, but it also promises a great leap forward. Its based on the idea that transistors can be replaced by actual atomic particles where the zeros and ones arent predicated on the flow or non-flow of electrons, but on the property or energy state of the atomic particle itself.

These particles can come from various sources (and are usually engineered in nanoscale devices) but theyre called collectively, qubits. Now things get trickier. Yes, tricker. Where a transistor can be either one or zero, its a weird fact of quantum physics, that a qubit can be one or zero at the same time, like a spinning coin that holds the possibility of both heads and tails.

For a single qubit, this doubles the one-andzero mechanism. And for every qubit added, the one/zero combinations increase exponentially.

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Quantum computing at the nanoscale - News - The University of Sydney

Inside the Global Race to Fight COVID-19 Using the World’s Fastest Supercomputers – Scientific American

As the director of a global research organization, I feel obligated to use all the resources of cutting-edge science and technology at our disposal to fight this scourge. As a father, I want a lasting solution, one that serves not just in this crisis, but the next. And, as an American and a Spaniard, with family in two hot spots, I want to help. Its as simple as that.

It started with a phone call to the White House on Tuesday, March 17, one that proved to be a catalytic moment for industry, academia and government to act together. This was the same week I received news from my mother that my cousin in Spain had tested positive for coronavirus. Shes a doctor and, just like all medical staff around the world right now, is on the front lines of the fight against this disease. This fight is personal for so many of us.

COVID-19 is deadly serious. This respiratory disease is triggered by a virus from the family of coronaviruses, which was identified in the 1960s but had never made such an assault on humanity. The virus prevents its victims from breathing normally, making them gasp for air. Fever, cough, a sore throat and a feeling of overwhelming fatigue and helplessness follow. Lucky ones recover within a few days; some show only mild or moderately severe symptoms. But some patients are not that lucky. Bulldozing its way through the body, the virus makes the lungs fill up with fluid, and may lead to a rapid death. No one is immune. While the elderly and those with underlying health conditions are more at risk, COVID-19 has taken the lives of people of all ages, some in seemingly good health. The disease is bringing our world to its knees.

But we are resilient, and we are fighting back with all the tools we have, including some of the most sophisticated supercomputers we have ever built. These machinesmore than 25 U.S.-based supercomputers with more than 400 petaflops of computing powerare now available for free to scientists searching for a vaccine or treatment against the virus, through the COVID-19 High Performance Computing Consortium.

It was created with government, academia and industryincluding competitors, working side by side. IBM is co-leading the effort with the U.S. Department of Energy, which operates the National Laboratories of the United States. Google, Microsoft, Amazon and Hewlett Packard Enterprise have joined, as well as NASA, the National Science Foundation, Pittsburgh Supercomputing Center and six National LabsLawrence Livermore, Lawrence Berkeley, Argonne, Los Alamos, Oak Ridge and Sandia, and others. And then there are academic institutions, including MIT; Rensselaer Polytechnic Institute; the University of Texas, Austin; and the University of California, San Diego.

The supercomputers will run a myriad of calculations in epidemiology, bioinformatics and molecular modeling, in a bid to drastically cut the time of discovery of new molecules that could lead to a vaccine. Having received proposals from all over the world, we have already reviewed, approved and matched 15 projects to the right supercomputers. More will follow.

But just a few days ago none of this existed.

On March 17, I called Michael Kratsios, the U.S. governments chief technology officer. Embracing the potential of a supercomputing consortium, he immediately started mobilizing his team, including Jake Taylor, assistant director for quantum information science at the White House Office of Science and Technology Policy. Jake called major U.S. players that have high-performance computers and invited them on board. From the IBM side, Mike Rosenfield, whose team has designed and built multiple generations of world-leading supercomputers, partnered with RPI, MIT and the key computing leaders of the U.S. National Laboratories. The U.S. Department of Energy has been a partner from the very beginning, at the heart of it all.

Within 24 hours of that first call, collaborators outlined what it meant to be involved. We brainstormed how we would communicate to research labs worldwide what we could offer in terms of hardware, software and human experts, and how we would get them to submit proposals, and get those matched with just the right supercomputer.

Forty-eight hours passed. On Thursday, March 19, we set up the scientific review committee and the computing matching committee to manage proposals. At least one person from each of the members of the consortium had to be part of the process, all acting fairly and equally. From IBM, Ajay Royyuru joined the merit review committee; he is the leader of our Healthcare and Life Sciences research and together with his team has long been developing novel technologies to fight cancer and infectious diseases.

Ajay, too, has a personal stake in fighting back against COVID-19. In January, his elderly father passed away following a pulmonary illness. Ajay shares his house with his 82-year-old mother, and he worries about keeping her safe from this risk, just like so many of us worry about our parents. His extended family in India is now also confronting the unfolding of the pandemic.

On March 22, less than a week after the first discussion with Kratsios, the White House announced the consortium. Everyone knew that the clock was ticking.

It is still very early days, but Ajay and other reviewers can clearly see from the first wave of proposals that scientists are trying to attack the virus on all frontsfrom drug discovery and development with AI-led simulations to genomics, epidemiology and health systems response. We need to understand the whole life cycle of this virus, all the gearboxes that drive ithow it encounters and infects the host cell and replicates inside it, preventing it from producing vital particles. We need to know the molecular components, the proteins involved in the virus biochemistrythen to use computational modeling to see how we can interrupt the cycle. That's the standard scientific methodology of drug discovery, but we want to amplify it.

The virus has been exploding in humans for months now, providing an abundance of samples for computer modeling and analysis. Scientists are already depositing them into public data sources such as GenBank and Protein Data Bank. There are many unknowns and assumptionsbut, Ajay tells me, a lot of proposals involve using the available protein structures to try and come up with potential molecular compounds that could lead to a therapeutic or a vaccine.

Thats already happening. Even before we formed the consortium, researchers at Oak Ridge National Laboratory and the University of Tennessee simulated 8,000 compounds and found 77 molecules that could potentially disarm the virus. But 77 is still a big number and running tests to find the correct molecule may take months. Here, my colleague Alessandro Curioni, an Italian chemist who heads IBM Research Europe and who had to self-isolate due to possible exposure to COVID-19, had an idea on how to speed things up.

In a conversation with European Commission executives in early March, Alessandro learned about an Italian pharmaceutical company, Domp Farmaceutici and the E.U.-financed project they were working on. Last week, he orchestrated a meeting between its scientists and Oak Ridge, suggesting to both parties that they submit a joint proposal to the consortium. Perhaps together, with the help of supercomputers, they can reduce the number of the promising compounds from 77 to 10, five and, finally, one.

Humanity has more tools at its disposal in this pandemic than ever before. With data, supercomputers and artificial intelligence, and in the future, quantum computing, we will create an era of accelerated discovery. The consortium is an example of a unique partnership approach, and it shows that the bigger the challenge, the more we need each other.

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Inside the Global Race to Fight COVID-19 Using the World's Fastest Supercomputers - Scientific American

D-Wave makes its quantum computers free to anyone working on the coronavirus crisis – VentureBeat

D-Wave today made its quantum computers available for free to researchers and developers working on responses to the coronavirus (COVID-19) crisis. D-Wave partners and customers Cineca, Denso, Forschungszentrum Jlich, Kyocera, MDR, Menten AI, NEC, OTI Lumionics, QAR Lab at LMU Munich, Sigma-i, Tohoku University, and Volkswagen are also offering to help. They will provide access to their engineering teams with expertise on how to use quantum computers, formulate problems, and develop solutions.

Quantum computing leverages qubits to perform computations that would be much more difficult, or simply not feasible, for a classical computer. Based in Burnaby, Canada, D-Wave was the first company to sell commercial quantum computers, which are built to use quantum annealing. D-Wave says the move to make access free is a response to a cross-industry request from the Canadian government for solutions to the COVID-19 pandemic. Free and unlimited commercial contract-level access to D-Waves quantum computers is available in 35 countries across North America, Europe, and Asia via Leap, the companys quantum cloud service. Just last month, D-Wave debuted Leap 2, which includes a hybrid solver service and solves problems of up to 10,000 variables.

D-Wave and its partners are hoping the free access to quantum processing resources and quantum expertise will help uncover solutions to the COVID-19 crisis. We asked the company if there were any specific use cases it is expecting to bear fruit. D-Wave listed analyzing new methods of diagnosis, modeling the spread of the virus, supply distribution, and pharmaceutical combinations. D-Wave CEO Alan Baratz added a few more to the list.

The D-Wave system, by design, is particularly well-suited to solve a broad range of optimization problems, some of which could be relevant in the context of the COVID-19 pandemic, Baratz told VentureBeat. Potential applications that could benefit from hybrid quantum/classical computing include drug discovery and interactions, epidemiological modeling, hospital logistics optimization, medical device and supply manufacturing optimization, and beyond.

Earlier this month, Murray Thom, D-Waves VP of software and cloud services, told us quantum computing and machine learning are extremely well matched. In todays press release, Prof. Dr. Kristel Michielsen from the Jlich Supercomputing Centre seemed to suggest a similar notion: To make efficient use of D-Waves optimization and AI capabilities, we are integrating the system into our modular HPC environment.

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D-Wave makes its quantum computers free to anyone working on the coronavirus crisis - VentureBeat

Can Quantum Computing Be the New Buzzword – Analytics Insight

Quantum Mechanics created their chapter in the history of the early 20th Century. With its regular binary computing twin going out of style, quantum mechanics led quantum computing to be the new belle of the ball! While the memory used in a classical computer encodes binary bits one and zero, quantum computers use qubits (quantum bits). And Qubit is not confined to a two-state solution, but can also exist in superposition i.e., qubits can be employed at 0, 1 and both 1 and 0 at the same time.

Hence it can perform many calculations in parallel owing to the ability to pursue simultaneous probabilities through superposition along with manipulating them with magnetic fields. Its coefficients allow predicting how much zero-ness and one-ness it has, are complex numbers, which indicates the real and imaginary part. This provides a huge technical edge over other conventional computing. The beauty of this is if you have n qubits, you can have a superposition of 2n states or bits of information simultaneously.

Another magic up its sleeve is that Qubits are capable of pairing which is referred to as entanglement. Here, the state of one qubit cannot be described independently of the state of the others which allows instantaneous communication.

To quote American theoretical physicist, John Wheeler, If you are not completely confused by quantum mechanics, you do not understand it. So, without a doubt it is safe to say that even quantum computing has few pitfalls. First, the qubits tend to loss the information they contain, and also lose their entanglement in other words, decoherence. Second, imperfections of quantum rotations. These led to a loss of information within a few microsecond.

Ultimately, quantum computing is the Trump Card as promises to be a disruptive technology with such dramatic speed improvements. This will enable systems to solve complex higher-order mathematical problems that earlier took months to be computed, investigate material properties, design new ones, study superconductivity, aid in drug discovery via simulation and understanding new chemical reactions.

This quantum shift in the history of computer sciences can also pave way for encrypted communication (as keys cannot be copied nor hacked), much better than Blockchain technology, provide improved designs for solar panels, predict financial markets, big data mining, develop Artificial Intelligence to new heights, enhanced meteorological updates and a much-anticipated age of quantum internet. According to scientists, Future advancements can also lead to help find a cure for Alzheimers.

The ownership and effective employment of a quantum computer could change the political and technological dynamics of the world. Computing power, in the end, is power whether it is personal, national or globally strategic. In short, a quantum computer could be an existential threat to a nation that hasnt got one. At the moment Google, IBM, Intel, and D-Wave are pursuing this technology. While there are scientific minds who dont believe in the potential of quantum computing yet unless you are a time-traveler like Marty McFly in Back to the Future series or any one of the Doctor Who, one cannot say what future beholds.

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Can Quantum Computing Be the New Buzzword - Analytics Insight

Who Will Mine Cryptocurrency in the Future – Quantum Computers or the Human Body? – Coin Idol

Apr 01, 2020 at 09:31 // News

Companies including Microsoft, IBM and Google, race to come up with cheap and effective mining solutions to improve its cost and energy efficiency. Lots of fuss has been made around quantum computing and its potential for mining. Now, the time has come for a new solution - mining with the help of human body activity.

While quantum computers are said to be able to hack bitcoin mining algorithms, using physical activity for the process is quite a new and extraordinary thing. The question is, which technology turns out to be more efficient?

Currently, with the traditional cryptocurrency mining methods, the reward for mining a bitcoin block is around 12.5 bitcoins, at $4k per BTC and this should quickly be paid off after mining a few blocks.

Consequently, the best mining method as per now is to keep trying random numbers and wait to observe which one hashes to a number that isnt more than the target difficulty. And this is one of the reasons as to why mining pools have arisen where multiple PCs are functioning in parallel to look for the proper solution to the problem and if one of the PCs gets the solution, then the pool is given an appropriate reward which is then shared among all the miners.

Quantum computers possess more capacity and might potentially be able to significantly speed up mining while eliminating the need for numerous machines. Thus, it can improve both energy efficiency and the speed of mining.

In late 2019, Google released a quantum processor called Sycamore, many times faster than the existing supercomputer. There was even a post in the medium claiming that this new processor is able to mine all remaining bitcoins like in two seconds. Sometime later the post was deleted due to an error in calculations, according to the Bitcoinist news outlet.

Despite quantum computing having the potential to increase the efficiency of mining, its cost is close to stratospheric. It would probably take time before someone is able to afford it.

Meanwhile, another global tech giant, Microsoft, offers a completely new and extraordinary solution - to mine cryptos using a persons brain waves or body temperature. As coinidol.com, a world blockchain news outlet has reported, they have filed a patent for a groundbreaking system which can mine digital currencies using the data collected from human beings when they view ads or do exercises.

The IT giant disclosed that sensors could identify and diagnose any activity connected with the particular piece(s) of work like the time taken to read advertisements, and modify it into digital information that is readable by a computing device to do computation works, the same manner as a conventional proof-of-work (PoW) system works. Some tasks would either decrease or soar computational energy in an appropriate manner, basing on the produced amount of info from the users activity.

So far, there is no signal showing when Microsoft will start developing the system and it is still uncertain whether or not this system will be developed on its own blockchain network. Quantum computing also needs time to be fully developed and deployed.

However, both solutions bear a significant potential for transforming the entire mining industry. While quantum computing is able to boost the existing mining mechanism, having eliminated high energy-consuming mining firms, Microsofts new initiative can disrupt the industry making it even look different.

Which of these two solutions turns out to be more viable? We will see over time. What do you think about these mining solutions? Let us know in the comments below!

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Who Will Mine Cryptocurrency in the Future - Quantum Computers or the Human Body? - Coin Idol