VFX Supervisor Andrew Whitehurst Grapples With The Intricacies Of Quantum Physics On Sci-Fi Thriller Devs – Deadline

On sci-fi thriller Devs, VFX supervisor Andrew Whitehurst reteamed with director Alex Garland for an exploration of the multiverse, digging into scientific literature to depict a world of the near future, and the technology that accompanied it.

Starring Sonoya Mizuno, the series centers on Lily, a software engineer for a quantum computing company in the Bay Area, who investigates a secretive development division within her company, following the mysterious disappearance of her boyfriend.

An Oscar winner known for films including Ex Machina and Annihilation, Whitehurst began conversations on Devs while the latter film was being finished. [Alex and I] were talking a lot during the period of him writing it, because we both have a shared interest in quantum physics, and the idea of multiverses. I was being sent episodes as they were being written, and discussing what he was about to go and write before he was writing it, Whitehurst says. So, it was probably the most involved Ive ever been in that part of a production, which is lovely.

In early conversations with Garland, Whitehurst understood that visual effects would play out in two branches throughout the show. What art departments cant build, we would have to augment or extend, or in some cases, replace. So, theres that sort of invisible worldbuilding aspect to it, which we knew we were going to have to do, because the scope of the vision was so big, he explains. We knew our art department would do something amazing, but we were going to be in the business of making the world complete.

From Whitehursts perspective, the other of the two aforementioned branches was much more creatively driven, representing a singular kind of challenge. Essentially, in his work on Devs, Whitehurst would have to visualize life inside a multiverse. Secondly, he would have to craft outputs, or visualizations, emerging from a quantum computer at Devsthe development division that gives the series its name. Created by obsessive scientists Forest (Nick Offerman) and Katie (Alison Pill), this machine has the ability to predict the future, and visually project into the past, presenting grainy depictions of such figures as Jesus Christ and Joan of Arc.

Prior to production, Whitehurst turned to the writing of physicist David Deutschas he often has throughout his careerfor insights that might inform the visual effects at hand. He wrote an amazing book more than 20 years ago called The Fabric of Reality, which is something that I reread semi-regularly, he says. His notion of trying to come up with this theory of everything that can describe, using scientific ideas, this whole universe, was something that was very appealing, as a philosophical basis to build off.

On a practical level, the VFX supervisor experimented early on with the way he would manifest a multiverse, and the quantum computers visualizations, recognizing that the choices he made would have a direct impact on the way the show was shot. For the multiverse stuff, we needed to know what we were aiming for the finished effect to look like, so we knew what to shoot on set to be able to do that. Then, with the visualizations that you see on the screens inside the [Devs] cube, we were hoping to be able to, and ultimately were able to, project most of that footage live on set, when you were actually shooting those scenes, so that it could act as a light source, Whitehurst explains. It gave the actors something to react to; it gave [DP] Rob [Hardy] something to frame up on.

When it came to multiverse footagewhich featured multiple versions of an actor on screenWhitehurst engaged in a series of tests, shooting various versions of people doing very similar actions, before blurring them, and layering them together. That had this very Francis Bacon look to it, which was kind of cool. But it didnt describe the idea of many different worlds clearly enough. So, that was an iterative process, the artist reflects. We ended up going, Look. The way that we should do this, that we should represent the many worlds, is by being able to see each distinct person in their own world of the multiverse. And were just going to layer that together.

In the design process for the visualizations, Whitehurst asked himself, how would the quantum computer visually generate a world for people to look at? Again, we went through a lot of different ideas of building it up in blocks, or building it up as clouds. And ultimately, the way that modern computer renderers work, which is the piece of software that generates our CG pictures, is that it works by doing continually refining passes, he explains. So, when you say, Render me this scene, the first thing youre presented with is this very sandy, rough version of the image, and then it gets slightly less rough, and slightly less rough, and the sandiness goes away, and it becomes clearer, and clearer, and clearer.

For Garland and his VFX supervisor, this understanding of real-world rendering lent itself to an interesting visual ideaand so over the course of Devs, we see that the computer is getting better at creating its images over time. We took that idea, and we actually ended up coming up with this sort of 3D volume of these points drifting around, as if they were little motes of dust suspended in water. The computer is generally coaxing these points to be specific objects in a certain space, and as they get better and better at it, the points become denser, and the object becomes clearer and clearer, Whitehurst says. That ended up being a narratively satisfying approach to designing that visual effect, but also it had a real aesthetic quality to it, as well. So, that was kind of a double win for us, really.

The visuals that appear on the massive Devs screen were all first photographed as plates, which would serve as a base for Whitehursts creations. We had a performer to be Joan of Arc, and we had a series of actors to be Lincoln, and the other people at the Gettysburg Address. Those were filmed in a car park at Pinewood [Studios], and then we would track those, and isolate them, so that we could put them into three-dimensional space, the VFX supervisor says. Then, we would create digital matte painting environments, and we were able to build up this scene, which had depth, which we could then, using the simulation software that wed developed, push these points around, so that they could attempt to try and stick themselves to the forms of these people. And the amount that they stuck to that form determined how clear they were.

In terms of the invisible worldbuilding Whitehurst tackled for the series, one of the biggest challenges, and most distinct examples, was the Devs cubethe beautifully futuristic center of the development divisions operations. Encased in reflective golden walls, the cube was an office, which workers entered into, by way of a floating capsule on a horizontal path.

Art departments were constrained by the size of the biggest soundstage that we could find, which happened to be in Manchester. What they were able to build was the office level of the floating cube, the gold walls that surround it, the gap in between, and a glass capsule, which was mounted on a massive steel trolley that could be pushed backwards and forwards by grips, Whitehurst shares. But everything thats above and below that had to be a visual effect. Then, any angles where you were particularly low, looking up, or particularly high, looking down, also had to be full visual effect shots, because you couldnt get the camera that high or that low, because of the constraints of the space.

Most dialogue scenes within the Devs cube were realized in-camera, given that the camera department was following people on the office floor, with a level lens. But basically, anything thats above or below the office floor in that environment is digital, the VFX supervisor notes. And obviously, you had to paint out the trolley that the capsule was on, and replace that section of the environment with a digital version.

Another impressive example of the series VFX worldbuilding was the massive statue of Amaya, which towered over the redwood trees on the Devs campus. Present very little on screen, this little girl is more of a specteran absence that permeates and haunts the world of Devs. That [statue] was fully CG, Whitehurst says. The location that its sat in is the amphitheater at the University of California, Santa Cruz. So, they had a stage area, and its like, Well, the statue will be standing on that.

Taking into consideration the environment in which the statue would stand, Whitehurst then had to consider in depth how it would look. We did a photogrammetry session, which is where you are able to take multiple photographs instantaneously of a subjectin this case, the little girl. From that, you can build a 3D model. So, its a sort of snapshot in time that you can then create into something 3D, the VFX supervisor says. We used that as the basis of our digital sculpt then to make the statue, and then we went through a long process of, Well, should this be a piece of pop art? Should it have a sort of Jeff Koons quality to it? Or should we go for something that feels like its made out of concrete?

We tried a whole bunch of different surfacing approaches, and how would it catch the light if it was made of concrete, or if it was enamel paint, and eventually, the pop art approach felt narratively the most appropriate, he adds. So, thats what we ended up going with.

For Whitehurst, there were a great number of creative challenges in designing visual effects for Devs. Certainly, I think the complexity of some of the environmentsso, the cube with the permanently shifting lighting on it, where were having to match all of those lighting changeswas very tricky. Getting this sort of aesthetic balance in things like the visualizations, making it feel something that felt scientifically plausible, but also had a sense of beauty. And how much should we allow the audience to see, and how mysterious should it be? he says. That sort of thing was complex.

The series was also notable for Whitehurst, given that it was the first he had ever taken on. Most of us working on the series come from a film background. But I think the key thing that is most exciting about it, and particularly for someone like Alex, who is so big-ideas-driven, and writes characters so well, is having something where you get to spend more time with those characters, he says. You really get to flesh out and develop those big ideas, which is something that all of the rest of us working on it can help with.

The other highlight is, I got to work with some of my favorite people, again, for the third time, Whitehurst adds. So, it was an exciting mixture of very familiar, in terms of most of the people I was working with, and something excitingly new at the same time.

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VFX Supervisor Andrew Whitehurst Grapples With The Intricacies Of Quantum Physics On Sci-Fi Thriller Devs - Deadline

Quantum Computing Technologies Market to Witness a Pronounce Growth During 2025 – News by aeresearch

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QCI Hosts Webinar Series Featuring Optimizations that Deliver Quantum-Ready Solutions at Breakthrough Speed – Stockhouse

LEESBURG, Va., July 08, 2020 (GLOBE NEWSWIRE) -- Quantum Computing Inc. (OTCQB: QUBT) (QCI), a technology leader in quantum-ready applications and tools, has introduced a new series of free webinars featuring the company’s Mukai quantum computing software execution platform and how it can solve real-world, constrained-optimization problems at breakthrough speed.

Session 1: The Value of QuOIR Running on the Mukai Platform; Use Cases and Examples Date: Tuesday, July 14 Time: 12 noon Eastern time (9:00 a.m. Pacific) Topics: This session will focus on the different ways Mukai can solve a variety of complex, real-world optimization problems faced by nearly every major company and government agency worldwide, including those involving logistics routing, drug design, and manufacturing scheduling.

The presenters will also review a recently published benchmark study showing how Mukai delivers superior performance for an important constrained-optimization problem compared to other solvers, producing best-in-class quality of results, time-to-solution and diversity of solutions running quantum computing software tools on classical computers (Intel® and AMD processor-based) .

Participants will learn about how the QuOIR constrained-optimization layer of the Mukai platform makes it easier to achieve this superior performance by automatically creating a QUBO that meets constraints as well as finds an optimal solution.

Sign up today to attend this event and discover how Mukai has brought us to the day when quantum-ready methods on classical systems can achieve greater performance compared to traditional classical methods.

Register today for Session 1 by clicking here.

Session 2: The Mukai How To’ Webinar Date: Tuesday, July 21 Time: 12 noon Eastern time (9:00 a.m. Pacific) Topics: This session will dive deeper into the functions and features of the Mukai quantum computing software execution platform, focusing on how developers and organizations can migrate their existing applications to quantum-ready solutions today and realize superior performance even when running their solutions on classical computers.

Participants will learn how they can get started with their free trial of Mukai, which the company officially launched last week. Learn how to use the Mukai API for calling a proprietary set of highly optimized and parallelized quantum-ready solvers that can execute on a cloud-based classical computer infrastructure and deliver differentiated performancefor many quantum-ready algorithms.

Mukai’s comprehensive software suite enables developers to create applications that can benefit from quantum advantage without needing to learn how to create quantum gate circuitsor create and embed a QUBO.

While quantum computing is typically a high-dollar investment given the sophisticated and costly hardware requirements, Mukai makes quantum application development affordable and scalable compared to running solutions on intermediate quantum computers, like those offered by D-Wave, Fujitsu, IBM and Rigetti.

Sign up today to attend this event and learning how Mukai’s unique functionality and breakthrough in performance has eliminated one of the greatest obstacles to the development and adoption of quantum-ready applications.

Register today for Session 2 by clicking here.

Your Webinar Host Steve Reinhardt, QCI’s VP of product development, will host the webinars. Recognized for being among the handful of top quantum software experts in the world, Reinhardt has built hardware and software systems that have delivered new levels of performance and analytic capability using conceptually simple interfaces. This includes Cray Research T3E distributed-memory systems, ISC Star-P parallel-MATLAB software, YarcData/Cray Urika graph-analytic systems, and apps and tools for D-Wave Systems’ annealing-based quantum computers.

Reinhardt has focused on graph analytics since 2003, developing graph-analytic core software and using it to solve end-user problems, particularly in cybersecurity. He currently leads the QCI product development team which is delivering today on the value proposition of quantum-ready applications and tools.

To learn more about the trial or webinars, please feel free to contact John Dawson at trial@QuantumComputingInc.com. You can also submit your inquiry here.

About Quantum Computing Inc. Quantum Computing Inc. (QCI) is focused on developing novel applications and solutions utilizing quantum and quantum-ready computing techniques to solve difficult problems in various industries. The company is leveraging its team of experts in finance, computing, security, mathematics and physics to develop commercial applications for industries and government agencies that will need quantum computing power to solve their most challenging problems. For more information about QCI, visit http://www.quantumcomputinginc.com.

Important Cautions Regarding Forward-Looking Statements This press release contains forward-looking statements as defined within Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. By their nature, forward-looking statements and forecasts involve risks and uncertainties because they relate to events and depend on circumstances that will occur in the near future. Those statements include statements regarding the intent, belief or current expectations of Quantum Computing (Company”), and members of its management as well as the assumptions on which such statements are based. Prospective investors are cautioned that any such forward-looking statements are not guarantees of future performance and involve risks and uncertainties, and that actual results may differ materially from those contemplated by such forward-looking statements.

The Company undertakes no obligation to update or revise forward-looking statements to reflect changed conditions. Statements in this press release that are not descriptions of historical facts are forward-looking statements relating to future events, and as such all forward-looking statements are made pursuant to the Securities Litigation Reform Act of 1995. Statements may contain certain forward-looking statements pertaining to future anticipated or projected plans, performance and developments, as well as other statements relating to future operations and results. Any statements in this press release that are not statements of historical fact may be considered to be forward-looking statements. Words such as may,” will,” expect,” believe,” anticipate,” estimate,” intends,” goal,” objective,” seek,” attempt,” aim to”, or variations of these or similar words, identify forward-looking statements. These risks and uncertainties include, but are not limited to, those described in Item 1A in the Company’s Annual Report on Form 10-K, which is expressly incorporated herein by reference, and other factors as may periodically be described in the Company’s filings with the SEC.

Mukai and QuOIR are trademarks of Quantum Computing Inc. Intel® is a trademark of Intel Corporation.

Company Contact Robert Liscouski, CEO Tel (703) 436-2161 info@quantumcomputinginc.com

Investor & Media Relations Contact Ron Both or Grant Stude CMA Investor Relations Tel (949) 432-7566 Email Contact

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QCI Hosts Webinar Series Featuring Optimizations that Deliver Quantum-Ready Solutions at Breakthrough Speed - Stockhouse

Cyber Reliant announces another ground- breaking innovation with their development of their Mobile Data Defender Quantum Resistant Secure Voice and…

Quantum Resistant Secure Voice and Chat

ANNAPOLIS, Md. (PRWEB) July 09, 2020

Traditional secure voice and chat products rely heavily on a combination of limited-use specialized devices and complex to manage network and cloud security. These complexities are not cost effective, deliver a non-commercial user experience and increase data breach exposure risk.

With Cyber Reliants breakthrough secure voice and chat innovation, sensitive and confidential communication can be conducted on any commercially available Android and iOS device thus eliminating the need for a limited-use specialized device with full privacy and security on any network while removing the risk of electronic eavesdropping and exploitation.

Cyber Reliant has released its early access program to specific security and privacy focused government and commercial industry test users for quantum resistant voice and chat. Adopting quantum resistance methods is essential for ensuring full spectrum data security and privacy. Cyber Reliants quantum resistant secure voice and chat provides a level of security such that if an attacker had unlimited computing power, as in a weaponized quantum computer, they still could not compromise the data protection methods employed by Cyber Reliant. These quantum resistant techniques are incorporated directly into the data, thus eliminating the risk of data breaches based on network intrusions, malware, or electronic eavesdropping.

The Cyber Reliant Core transforms voice/chat packets at creation time into randomized, quantum resistant data shreds across any network protocol including cellular, Wi-Fi, or even satellite networks. The voice and chat solutions are implemented as an application on Android or iOS platforms and does not require a specialized mobile device or network enabled router to operate fully secure. Even on a heavily surveilled or compromised network, this technique eliminates the threat of encryption key theft and other exploitation methods.

In an upcoming release, Cyber Reliant will incorporate its ground-breaking advancement in True Random Number Generation. This novel approach uses a patent-pending process without the need for a specialized chipset, and utilizes sensors on standard commercial devices to create provable true random encryption algorithms that strengthen key generation methods, ensuring complete quantum resistant end to end data security. This advancement overlays on legacy mobile devices that have chip-based True Random Number Generators already built-in to the device, and makes it possible for future device optionality and diversity, reducing expense and build complexity while increasing security to combat today and tomorrows threats.

Cyber Reliant initially created the Secure Voice and Chat solution to serve the tactical soldier in mission critical environments, but the need for future-proof data protection in commercial and enterprise markets quickly became clear.

Today, Cyber Reliant offers NSA Commercial Solutions for Classified (CSfC) up to Top Secret file-level data protection software for federal and commercial data privacy solutions and is natively compliant with major regulatory requirements including HIPAA, GDPR, FINRA, PCI DSS, PII, PHI, PAN, NPI, GLBA, FERPA, CCPA and more.

"Cyber Reliants mission has always been to stay one step ahead of the ever-changing security threat landscape through secure-by-design principles that eliminate the attack surface. Our latest quantum resistant innovation delivers the most advanced level of protection available to all sensitive data assets and device types across customer verticals in healthcare, financial services, defense and aerospace, said Rick Bueno, founder and CEO.

Cyber Reliant:Battle Hardened, Business Ready

About Cyber Reliant: Founded in 2010 with a mission to provide critical data protection to the DoD and Intelligence community, Cyber Reliant has become a leading quantum resistant solution provider in the data privacy market for both Government and Commercial clients. Cyber Reliants premier data protection is a quantum resistant software solution authorized by NSA Commercial Solutions for Classified (CSfC) to securely store the Nations most sensitive classified information up to Top Secret on virtually any platform, to include commercially available mobile devices and IoT. Our cutting-edge and patented process of encryption, data shredding and file reconstitution integrates seamlessly with existing technology, provides a commercial user experience with no perceptible latency and demonstrates significant value across both the Federal government and commercial markets.

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Solving problems by working together: Could quantum computing hold the key to Covid-19? – ITProPortal

Given the enormous potential for quantum computing to change the way we forecast, model and understand the world, many are beginning to question whether it could have helped to better prepare us all for a global pandemic such as the Covid-19 crisis. Governments, organisations and the public are continuing the quest for answers about when this crisis will end and how we can find a way out of the current state of lockdown, and we are all continuing to learn through incremental and experimental steps. It certainly seems plausible that the high compute simulation capabilities of our most revolutionary technology could hold some of the answers and enable us to respond in a more coherent and impactful way.

Big investments have already been made in quantum computing, as countries and companies battle to create the first quantum supercomputer, so they can harness the power of this awesome technology. The World Economic Forum has also recognised the important role that this technology will play in our future, and has a dedicated Global Future Council to drive collaboration between public and private sector organisations engaged in the development of Quantum Computing. Although its unlikely to result in any overnight miracles, its understandable that many are thinking about whether these huge efforts and investments can be turned towards the mutual challenge we face in finding a solution to the Covid-19 pandemic.

There are already some ground-breaking use-cases for quantum computing within the healthcare industry. Where in the past some scientific breakthroughs such as the discovery of penicillin came completely by accident, quantum computing puts scientists in a much stronger position to find what they were looking for, faster. Quantum raises capacity to such a high degree that it would be possible to model penicillin using just a third of the processing power a classical computer would require to do the job meaning it can do more with less, at greater speed.

In the battle against Covid-19, the US Department of Energys Oak Ridge National Laboratory (ORNL) is already using quantum supercomputers in its search for drug compounds that can treat the disease. IBM has also been using quantum supercomputers to run simulations on thousands of compounds to try and identify which of them is most likely to attach to the spike that Covid-19 uses to inject genetic material into healthy cells, and thereby prevent it. It has already emerged with 77 promising drugs that are worth further investigation and development progress that would have taken years if traditional computing power had been used.

Other businesses are likely to be keen to follow in the footsteps of these examples, and play their own part in dealing with the crisis, but to date its only been the worlds largest organisations that have been using quantum power. At present, many businesses simply dont have the skills and resources needed to fabricate, verify, architect and launch a large-scale quantum computer on their own.

It will be easier to overcome these barriers, and enable more organisations to start getting to work with quantum computing, if they open themselves up to collaboration with partners, rather than trying to go it alone. Instead of locking away their secrets, businesses must be willing to work within an open ecosystem; finding mutually beneficial partnerships will make it much more realistic to drive things forward.

The tech giants have made a lot of early progress with quantum, and partnering with them could prove extremely valuable. Google, for example, claims to have developed a machine that can solve a problem in 200 seconds that would take the worlds fastest supercomputer 10,000 years imagine adding that kind of firepower to your computing arsenal. Google, IBM and Microsoft have already got the ball rolling by creating their own quantum partner networks. IBM Q and Microsoft Quantum Network bring together start-ups, universities, research labs, and Fortune 500 companies, enabling them to enjoy the benefits of exploring and learning together. The Google AI quantum initiative brings together strong academia support along with start-up collaboration on open source frameworks and tools in their lab. Collaborating in this manner, businesses can potentially play their own part in solving the Covid-19 crisis, or preventing future pandemics from doing as much damage.

Those that are leading the way in quantum computing are taking a collaborative approach, acknowledging that no one organisation holds all the answers or all the best ideas. This approach will prove particularly beneficial as we search for a solution to the Covid-19 crisis: its in everyones interests to find an exit to the global shutdown and build knowledge that means we are better-prepared for future outbreaks.

Looking at the bigger picture, despite all the progress that is being made with quantum, traditional computing will still have an important role to play in the short to medium term. Strategically, it makes sense to have quantum as the exploratory left side of the brain, while traditional systems remain in place for key business-as-usual functions. If they can think about quantum-related work in this manner, businesses should begin to feel more comfortable making discoveries and breakthroughs together. This will allow them to speed up the time to market so that ideas can be explored, and new ground broken, much faster than ever before and thats exactly what the world needs right now.

Kalyan Kumar, CVP & CTO, IT Services, HCL Technologies

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Solving problems by working together: Could quantum computing hold the key to Covid-19? - ITProPortal

Menten AIs combination of buzzword bingo brings AI and quantum computing to drug discovery – TechCrunch

Menten AI has an impressive founding team and a pitch that combines some of the hottest trends in tech to pursue one of the biggest problems in healthcare new drug discovery. The company is also $4 million richer with a seed investment from firms including Uncork Capital and Khosla Ventures to build out its business.

Menten AIs pitch to investors was the combination of quantum computing and machine learning to discover new drugs that sit between small molecules and large biologics, according to the companys co-founder Hans Melo.

A graduate of the Y Combinator accelerator, which also participated in the round alongside Social Impact Capital*, Menten AI looks to design proteins from scratch. Its a heavier lift than some might expect, because, as Melo said in an interview, it takes a lot of work to make an actual drug.

Menten AI is working with peptides, which are strings of amino acid chains similar to proteins that have the potential to slow aging, reduce inflammation and get rid of pathogens in the body.

As a drug modality [peptides] are quite new, says Melo. Until recently it was really hard to design them computationally and people tried to focus on genetically modifying them.

Peptides have the benefit of getting through membranes and into cells where they can combine with targets that are too large for small molecules, according to Melo.

Most drug targets are not addressable with either small molecules or biologics, according to Melo, which means theres a huge untapped potential market for peptide therapies.

Menten AI is already working on a COVID-19 therapeutic, although the companys young chief executive declined to disclose too many details about it. Another area of interest is in neurological disorders, where the founding team members have some expertise.

Image of peptide molecules. Image Courtesy: D-Wave

While Menten AIs targets are interesting, the approach that the company is taking, using quantum computing to potentially drive down the cost and accelerate the time to market, is equally compelling for investors.

Its also unproven. Right now, there isnt a quantum advantage to using the novel computing technology versus traditional computing. Something that Melo freely admits.

Were not claiming a quantum advantage, but were not claiming a quantum disadvantage, is the way the young entrepreneur puts it. We have come up with a different way of solving the problem that may scale better. We havent proven an advantage.

Still, the company is an early indicator of the kinds of services quantum computing could offer, and its with that in mind that Menten AI partnered with some of the leading independent quantum computing companies, D-Wave and Rigetti Computing, to work on applications of their technology.

The emphasis on quantum computing also differentiates it from larger publicly traded competitors like Schrdinger and Codexis.

So does the pedigree of its founding team, according to Uncork Capital investor, Jeff Clavier. Its really the unique team that they formed, Clavier said of his decision to invest in the early-stage company. Theres Hans the CEO who is more on the quantum side; theres Tamas [Gorbe] on the bio side and theres Vikram [Mulligan] who developed the research. Its kind of a unique fantastic team that came together to work on the opportunity.

Clavier has also acknowledged the possibility that it might not work.

Can they really produce anything interesting at the end? he asked. Its still an early-stage company and we may fall flat on our face or they may come up with really new ways to make new peptides.

Its probably not a bad idea to take a bet on Melo, who worked with Mulligan, a researcher from the Flatiron Institute focused on computational biology, to produce some of the early research into the creation of new peptides using D-Waves quantum computing.

Novel peptide structures created using D-Waves quantum computers. Image Courtesy: D-Wave

While Melo and Mulligan were the initial researchers working on the technology that would become Menten AI, Gorbe was added to the founding team to get the company some exposure into the world of chemistry and enzymatic applications for its new virtual protein manufacturing technology.

The gamble paid off in the form of pilot projects (also undisclosed) that focus on the development of enzymes for agricultural applications and pharmaceuticals.

At the end of the day what theyre doing is theyre using advanced computing to figure out what is the optimal placement of those clinical compounds in a way that is less based on those sensitive tests and more bound on those theories, said Clavier.

*This post was updated to add that Social Impact Capital invested in the round. Khosla, Social Impact, and Uncork each invested $1 million into Menten AI.

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Six things you need to learn about quantum computing in finance – eFinancialCareers

This willcome as bad news if you're only just getting to grips with Python, but you should probably be thinking of adding quantum computing to your repertoire if you want to maintain your long term employability in finance. Both Goldman Sachs and JPMorgan have been investigating the application of quantum computers to their businesses, and many say it's less a question of if than whenquantum computing is more widely applied.

Both Google and IBM are competing for quantum leadership. Google declared that it had achieved 'quantum supremacy' last October,a claimpromptly disputed by IBM, which said that Google's assertion was misleading. IBM itself now has 18 quantum computersthatcan be accessed via the cloud and that are already used by JPMorgan to set derivatives prices. In a new report*, IBM researchers includingDaniel Egger, Claudio Gambella,Jakub Marecek,Scott McFaddin, and Martin Mevissenargue that this is just the start.

Over time, the researchers say banks will use quantum computers for everything from creating value at risk and liquidity coverage ratios to running simulations to enable more accurate calculations of net stable funding ratios and pricing financial instruments. In preparation for this future they suggest you familiarize yourself with the following six quantum algorithms.

1. The Variational Quantum Eigensolver

The Variational Quantum Eigensolver (VQE) is used for optimization applications. It harnesses energy states to calculate the function of the variables it needs to optimize and is good whenstandard computers struggle due to the intensity of the computing required. In financial services, IBM says the VQE can be used in portfolio optimization. The only problem is that the number of qubits you need increases signficantly withproblem size.

2. The Quantum Approximate Optimization

TheQuantum Approximate Optimization is used to optimize combined problems and tond solutions to problems with complex constraints. IBM says it can be combined with VQE forportfolio optimization.

3. TheQuantum Amplitude Estimator

TheQuantum Amplitude Estimator(QAE) is used in simulations, optimizations and machine learning. It allows users to create simulation scenarios by estimating an unknown property in the style of the Monte Carlo method. Instead of simple samplying random distributions, the QAE can handle them directly and this dramatically speeds up simulation time. In finance, it can be used for option pricing, portfolio risk calculations,issuance auctions, anti-money laundering operations and identifying fraud.

4.Quantum Support Vector Machines

Quantum support vector machines (QSVM) applysupervised machine learning to high dimensional problem sets. Used for financial forecasting, they map data into a 'quantum-enhanced feature space' that enables the separation of data points and improvedforecastaccuracy.

5. Harrow, Hassidim, and Lloyd

Harrow, Hassidim, and Lloyd (HHL) is used for optimization and machine learning and enables better measurement of large linear systems by exponentially speeding up calculations. It can be used for credit scoring.

6.Quantum Semidenite Programming

Quantum Semidefinite Programming (QDSP) is used to optimize a linear objective over a set of positive semi-denite matrices. It can be used for portfolio diversification and "exponentially" speeds-up calculations when there are particular constraints.

As the financial services industry is subject to the combined demands of, "sophisticated risk analysis, dynamic client management, constant updates to market volatility, and faster transaction speeds," IBM's researchers predict quantum algorithms are primed for take-off. Now might be a good time to start familiarizing yourself with how they work.

*Quantum computing for Finance: state of the art and future prospects

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Six things you need to learn about quantum computing in finance - eFinancialCareers

Cybersecurity in the quantum era – ETCIO.com

By Tirthankar Dutta

On October 23rd, 2019, Google claimed that they had achieved Quantum supremacy by solving a particularly difficult problem in 200 seconds by using their quantum computer, which is also known as "sycamore." This performance was compared with a Supercomputer known as 'Summit" and built by IBM. According to Google, this classical computer would have taken 10,000 years to solve the same problem.

The advancement of large quantum computers, along with the more computational power it will bring, could have dire consequences for cybersecurity. It is well known that important problems such as factoring, whose considered hardness ensures the security of many widely used protocols (RSA, DSA, ECDSA), can be solved efficiently, if a quantum computer that is sufficiently large, "fault-tolerant" and universal, is developed. However, addressing the imminent risk that adversaries equipped with quantum technologies pose is not the only issue in cybersecurity where quantum technologies are bound to play a role.

Because quantum computing speeds up prime number factorization, computers enabled with that technology can easily break cryptographic keys by quickly calculating or exhaustively searching secret keys. A task considered computationally infeasible by a conventional computer becomes painfully easy, compromising existing cryptographic algorithms used across the board. In the future, even robust cryptographic algorithms will be substantially weakened by quantum computing, while others will no longer be secure at all:

There would be many disconnects on the necessity to change the current cryptographic protocols and infrastructure to counter quantum technologies in a negative way, but we can't deny the fact that future adversaries might use this kind of technology to their benefit. As it allows them to work on millions of computations in parallel, exponentially speeding up the time it takes to process a task.

According to the National, Academies Study notes, "the current quantum computers have very little processing power and are too error-prone to crack today's strong codes. The future code-breaking quantum computers would need 100,000 times more processing power and an error rate 100 times better than today's best quantum computers have achieved. The study does not predict how long these advances might takebut it did not expect them to happen within a decade."

But does this mean that we should wait and watch the evolution of quantum computing, or should we go back to our drawing board to create quantum-resistant cryptography? Thankfully, researchers have been working on a public-key cryptography algorithm that can counter code-breaking efforts by quantum computers. US National Institute of Standards and Technology (NIST) evaluating 69 potential new methods for what it calls "post-quantum cryptography." The institution expects to have a draft standard by 2024, which would then be added to web browsers and other internet applications and systems

No matter when dominant quantum computing arrives, it poses a large security threat. Because the process of adopting new standards can take years, it is wise to begin planning for quantum-resistant cryptography now.

The author is SVP and Head of Information Security at Infoedge.

DISCLAIMER: The views expressed are solely of the author and ETCIO.com does not necessarily subscribe to it. ETCIO.com shall not be responsible for any damage caused to any person/organisation directly or indirectly.

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Cybersecurity in the quantum era - ETCIO.com

Finally we have teleportation for particles with a mass – InTallaght

Teleportation between photons has not been a novelty for a long time, but when it comes to massive particles everything becomes more complicated. Thanks to the strange rules of quantum entanglement, physicists believe they have found a method for teleport information between two electrons distant from each other.

The teleportation of information it is not only the first step to get to teleportation itself, but it has important applications in the development of quantum computing and in data encryption. The development of teleportation between electrons can allow the construction of quantum computers with architecture more similar to the current one.

We got evidence of an entanglement exchange, in which we created an entanglement bond between two electrons even though they hadnt interacted before and we teleported information, a technique potentially useful for quantum computers, explains John Nichol of the University of Rochester, New York.

Teleport is a word that is part of the jargon of physics and serves to explain a very simple concept. When you buy a pair of shoes, even if you separate them you always know all the characteristics of both even if you cannot observe them directly. In a sense, the shoes are entangled.

Things get strange if you imagine that your shoe can be both rights and left at the same time, at least until you look at it. When you look at it, it instantly assumes one of two states and the distant shoe becomes right or left according to the first.

This is the mechanism behind the idea of teleportation in physics.

Their computational logic uses binary language, states are described by sequences of 0 and 1. Quantum computers use qubits, which can take on both states simultaneously, providing possibilities that current technology cannot achieve.

Using photons to teleport information is very easy and intuitive, they can be separated very quickly after they have been tied, and it can also be done inside a chip. Separating massive particles is much more difficult because transport could be lost mathematical purity of their quantum state, and have interference.

Individual electrons are very promising qubits because they interact very easily with each other, making long-distance connections is essential for quantum computing, says Nichol.

To create this teleportation, scientists exploited some fundamental laws of subatomic physics. When two electrons share the same state, they must necessarily have one opposite spin. Researchers had previously shown how this property can be manipulated without acting directly on electrons, presenting itself as a method for teleportation.

Scientists have managed to make one spin exchange between a pair of electrons without having interacted before. There is still a lot of work to be done to replace photons with electrons, as the latter is very difficult objects to control. But having convincing evidence of electron teleportation is an encouraging step.

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Finally we have teleportation for particles with a mass - InTallaght

Nuclear submarines, non-nuclear weapons and the search for strategic stability – The Strategist

The decision to deploy nuclear-powered ballistic missile submarines (SSBNs) in the years to come will be a product of the major paradigms and concepts used to manage nuclear dangers more broadly. Recently, an emerging literature has pointed to a change in the way that at least the major powers plan to mitigate nuclear threats to their interests. This shift in thinking can be summarised as involving a greater reliance on strategic non-nuclear weaponsweapons and enabling systems that can be used to compromise an adversarys nuclear forces using both kinetic and non-kinetic means that dont involve nuclear weaponsand a decreased commitment to mutual vulnerability as the basis of strategic stability between nuclear-armed adversaries.

Strategic non-nuclear weapons include ballistic missile defence, conventional precision-strike missiles, anti-satellite weapons and anti-submarine weapons. When combined with advances in enabling platforms and systems such as elements of cyber, artificial intelligence and quantum technology, they can, in principle, be used to compromise an adversarys nuclear capabilities, with serious implications for issues of deterrence and stability.

Traditional approaches to deterrence based on the threat of punishment now compete with policies based instead on deterrence by denial. Stability based on rational calculations under conditions of mutual vulnerability appears set to be even harder to maintain.

The potential for conventional counterforce strikes makes future scenarios involving use them or lose them logic more likely for states that face adversaries armed with more sophisticated capabilities.

The current challenge to traditional nuclear deterrence relationships has a dual but paradoxical effect on the incentives to deploy sea-based nuclear weapons. In general, as missile silos (and even, over time, mobile land-based missiles), air fields, satellites, and command, control and communications stations become more vulnerable to counterforce attacks, the incentives to diversify a states nuclear force structure increase. In particular, SSBNs still remain the most secure form of second-strike capability, meaning that the further spread of strategic non-nuclear weapons is likely to result in ever more nuclear weapons being deployed at sea.

On the other hand, one of the key technologies that falls under the banner of strategic non-nuclear weapons is anti-submarine weapons themselves, and much analysis now is focusing on whether advances in this area may in fact undermine the perceived invulnerability of SSBNs. Its important to note that growing concerns over the effects of new anti-submarine capabilities on strategic stability are, at least in part, based on projections about the future. Little serious analysis or commentary predicts that the oceans are going to become effectively transparent overnight. However, advances in sensing and signal processing in particular mean that its a serious possibility that the oceans will become significantly more transparent than they are today. And when it comes to nuclear force structure planning, serious possibilities are enough to keep decision-makers up at night.

As the development of strategic non-nuclear weapons and the associated shift in thinking about stable deterrence based on mutual vulnerability continues, policymakers and analysts will need to give serious attention to what might become the new determinants of stability in the global nuclear order.

The development of countermeasures will play an important role in mitigating the destabilising effects of disruptive technological breakthroughs in anti-submarine weaponry. The role of countermeasures is already evident in other domains. For example, as a reaction to US missile defence, both China and Russia today are placing increasing emphasis on hypersonic missiles because their combination of speed and manoeuvrability makes them extraordinarily difficult to defend against.

Countermeasures for anti-submarine weapons need not rely on kinetic effects. The development both of ever quieter SSBNs with smaller acoustic signatures and of new techniques of deception (for example, unmanned underwater vehicles designed to produce tonals that match those of SSBNs that are thought to have been identified by an adversary) can increase a states confidence that at least some of its SSBNs can remain undetected and uncompromised in a crisis.

Developments in anti-submarine weapons aimed at compromising SSBNs and developments in countermeasures aimed at mitigating those breakthroughs will take on a tit-for-tat dynamic in the years to come. This is not a new phenomenon, but as rapid increases in things such as sensing techniques and data processing allow for technological leaps in anti-submarine capabilities, countermeasures should be expected to take on a new and much greater importance.

Defensive measures for SSBNs aimed at increasing their reliability in the face of technological breakthroughs in anti-submarine weaponry are unlikely to solely rely on new technologies themselves. For example, James Holmes has suggested that both bastion strategies for SSBNs (vessels constricted to a much smaller, actively defended area for patrols) and SSBNs being accompanied by convoys of skirmisher-type defensive units (adopting a similar principle to aircraft carrier battle groups) may be necessary to regain confidence in the survivability of SSBNs.

Stability needs to be seen as the most important goal and that will require a degree of what has been termed security dilemma sensibility among the nuclear-armed powers. Leaders that develop security dilemma sensibility display an openness to the idea that, as Nicholas Wheeler has put it, an adversary is acting out of fear and insecurity and not aggressive intent, as well as a recognition that ones own actions have contributed to that fear.

For example, future Chinese breakthroughs on quantum computing and their application to SSBN communication technology could be a positive development in the USChina strategic relationship. The more confidence Beijing has in the security of its second-strike capability, the less likely it is that a crisis between the US and China will inadvertently escalate.

Beyond unilateral measures, it may be possible, over the longer term, to negotiate, and design, limited multilateral efforts aimed at restoring stability between adversaries, including in relation to sea-based nuclear deployments. History suggests that confidence-building measures can play as important a role as formal arms control measures in reducing nuclear dangers, meaning that finding avenues for dialogue, even at a low level, should now be a top priority.

In the short term, the increasing salience of strategic non-nuclear weapons and the abandonment of deterrence strategies based on mutual vulnerability, is likely to continue to encourage states to deploy more SSBNs. Simultaneously, these forces will intensify the pressures to better protect SSBN fleets that are already deployed from technological breakthroughs in the anti-submarine weapons domain. Restraint in the deployment of anti-submarine capabilities may need to become a substitute for the more traditional tools used to instil stability in nuclear-armed relationshipsrestraint in defensive technology (such as missile defence) and negotiated limits on arms.

This piece was produced as part of the Indo-Pacific Strategy: Undersea Deterrence Project, undertaken by the ANU National Security College. This article is a shortened version of chapter 20, Strategic non-nuclear weapons, SSBNs, and the new search for strategic stability, as published in the 2020 edited volume The future of the undersea deterrent: a global survey. Support for this project was provided by a grant from Carnegie Corporation of New York.

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Nuclear submarines, non-nuclear weapons and the search for strategic stability - The Strategist