Category Archives: Quantum Computing

Have you ever wondered about the future of computers? Imagine a world where computers are like super wizards, solving puzzles and mysteries faster than ever before.

Thats what quantum computing is all about! Its a fascinating journey into a world where computers work in ways that are almost like magic. Lets dive into this adventure and discover what makes quantum computers so special and so cool.

Whats So Special About Quantum Computers?

Quantum computers dont use regular bits like the computer at your home; they use something called qubits. Imagine a coin that can spin and land both heads and tails at the same time. Thats kind of like a qubit! This makes the computer really smart and fast.

Quantum Entanglement: Super Teamwork!

In quantum computing, theres this awesome thing called entanglement. Its as if you had a pair of magic walkie-talkies; whatever you say into one, the other one hears instantly, even if its really far away. This helps quantum computers solve problems super quickly.

Quantum Gates: The Computers Magic Spells

Quantum gates in these computers are like magic spells. They give special instructions to qubits, telling them how to work together to find answers. Its like having a secret code that can unlock any door!

Amazing Quantum Algorithms: Super Formulas!

Quantum computers use really smart formulas called algorithms. These algorithms can do things like protect the internet so your information is safe and find stuff really quickly, much quicker than your computer at home or school.

Quantum Computers Today: Theyre Like Science Fiction!

Right now, big companies are making the first quantum computers. They have to keep them very cold, colder than the North Pole, so they work right. Its like having a piece of space right here on Earth!

Quantum Supremacy: A Big Win!

In 2019, Googles quantum computer did something nobody had ever seen before. It solved a problem faster than the biggest and fastest regular computer. Thats like being able to fly when everyone else is walking!

Challenges for Quantum Computers: Getting Better Every Day

Quantum computers are still learning to be the best they can be. They need to learn how to work without making mistakes, and how to work in warmer places, not just super cold ones. Scientists are working really hard to teach them these things.

Conclusion

Quantum computing is a really exciting adventure. Its like a new world where computers can do things we never thought possible.

Its still growing and getting better, and one day, it might help us do amazing things like curing sicknesses or making our planet cleaner. Its not just something for tomorrow; its happening right now, and its super cool!

A Fun Question for You!

If you had your own quantum computer, what big problem would you want to solve with it? Would you want it to help make the world cleaner, or maybe find new planets? Share your awesome ideas with us, we cant wait to hear them!

If you are looking to explore coding classes for your kids or students, lets chat at connect@childrenwhocode.com

You can also join and become part of our Discord community via this link https://discord.gg/tcve3b2XCf

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Childrenwhocode| Unraveling the Mysteries of Quantum Computing: A Kid's Guide - Medium

The U.S. economy is poised for a potential fiscal boost with a proposed $70 billion tax deal, currently under negotiation in Congress. If approved, the deal includes renewing expired business tax breaks and increasing the child tax credit, but it faces challenges in a divided Congress. While the extra cash could stimulate consumer spending, concerns about potential inflationary pressures complicate the Federal Reserves ability to lower interest rates. This positivity means that innovation will continue to rage on in 2024, and as a result, you should buy these three quantum computing stocks.

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Honeywell International Inc (NASDAQ:HON) is an American conglomerate corporation with operations in technologies, aerospace, building automation, and performance materials. It is valued at an impressive $201.10.

Financially, HON is thriving demonstrated by its EBIT Margin of 20.71% which is 111.08% more than the sector median. Cash From Operations is also a colossal 1,513.77% more than the sector median and Cash Per Share is 459.02% more. Working Capital Growth (YoY) is 844.66% more than the sector average and PEG GAAP is 846.67%. These financials truly exhibit how well-rounded HON is.

As of January 12, Honeywell and NXP have signed a deal to build next-gen automation with AI, and HON is also furthering its quantum tech solutions. NXPs superior tools will allow the AI to adapt, observe, and learn in real-time and is expected to be a major step in the AI breakthrough. And Honeywells quantum tech will help propel this chip technology to the next level. This new deal indicates that Honeywell is on the cutting edge. As it continues experimenting with AI its financials will only rise more.

Due to this partnership deal and financials, I give Honeywell a Buy rating, and strongly recommend it to anyone trying to diversify their portfolio with a quantum computing stock.

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Alphabet Inc. (NASDAQ:GOOGL) is an American multinational tech company that is the parent company of Google, Nest, YouTube, Waze, and Fitbit to name a few.

GOOGLs stock is up 1.15% YTD at $142.54 and is covered by 50 analysts. These analysts are predicting a 12-month price forecast with a median-high price of $155.50-$180.00 representing increases of nearly 9.1% and 26.3% respectively.

From 2022-2023, Alphabets market cap grew by 53.43% from $1.145 trillion to $1.756 trillion. Revenue also grew by 5.05% and earnings by 9.9%. The P/S ratio also grew by 37.75% in the same time frame. EBITDA Growth was 196.44% more than the sector median and EPS FWD Long Term Growth (3-5Y CAGR) was 88.85% more.

In the past year, GOOGL has expanded its Google Cloud to locations like Greece, Mexico, Sweden, and Saudi Arabia which has given its stock a massive boost. As it continues to expand, a similar trend should follow. In addition, Alphabet recently released a foldable phone, causing shockwaves throughout the industry. Product innovation, especially, within quantum computing, will only propel them forward and allow them to continue pioneering in the tech world.

Due to GOOGLs expansion, innovation, and rising financials, I give it a Buy rating and expect it to rise shortly.

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Splunk Inc (NASDAQ:SPLK) is an American software company, that produces an operating system to analyze, search, and monitor data. It is valued at $152.72 up 71.85% from last year.

Financially, Splunk has shown improvement in most if not all metrics. Revenue Growth (YoY) was 20.49%, nearly 227.30% more than the sector median of 6.26%. Gross Profit Margin grew to 79.07% which was 60.04% than the sector median, and Levered FCF Margin was 191.70% more than the sector average. EV / EBIT was also 833.86% more than the sector median, all indicating the well-roundedness of SPLK financials.

Spunks new edge processor is expected to be revolutionary for the industry. RawHEC Support allows data to be received in a simpler format thus making it easier for information to be transferred to Splunk from 3rd party systems. In addition, the edge processor allows Lookups, allowing details to be added to data before it is officially saved.

As Splunk continues innovating, its strong financials will become even stronger. With its positive outlook, I give it a Buy rating.

On the date of publication, Michael Que did not have (either directly or indirectly) any positions in the securities mentioned in this article. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

The researchers contributing to this article did not hold (either directly or indirectly) any positions in the securities mentioned in this article

Michael Que is a financial writer with extensive experience in the technology industry, with his work featured on Seeking Alpha, Benzinga and MSN Money. He is the owner of Que Capital, a research firm that combines fundamental analysis with ESG factors to pick the best sustainable long-term investments.

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Quantum Computing Quest: 3 Stocks on the Cutting Edge - InvestorPlace

Starting with quantum computing firstly talking about, What is quantum? In easy words a quantum is the smallest discrete of a phenomenon, for example a light has a quantum named photon and electricity has a quantum named electron. That smallest unit by which the any phenomenon starts to occur that is what a quantum means but what does quantum computing means?

Till now we are using digital computers and supercomputers, if you have knowledge about computers you will know how they work and what function they have, either if you dont know in simple words its in your hand your mobile phone that is a computer in which today you are doing a lot of things like playing games, listening songs, using internet that are all functions of a computer. Taking deep inside all computers have chips in it, we all know that how the computer world has changed firstly when computers were made they were so big, pulleys, big machines are needed to operate them but as time changes we came to digital computers where screen has been built, we can see our work on screen, after that those chips became microchips things which was on the table start coming into our pockets the mobile phones nowadays many works which we cant do on laptops or computers we can do them in our mobile phones. But what is this end? Nothing can be done? Ohhhh come on, we have lot of things running in our minds, The example is Richard Feynmann who thought about the quantum computers first who proposed that we can have much larger data than we have today which cant be stored on supercomputers but if we try to compute ourselves on atoms, can you think an atom????? Isnt is too small?? But we are doing it today not completely but somehow. Just think todays world is on sillicon a semiconductor which is way too small but an atom?? There is no comparison in size right? Still a question, What is quantum computing and quantum computer?

Basically, if we talk about the figure thats so complicated thats not a whole quantum computer its just a chip, we are talking about on this all the actions will be performed or activities will be done like in todays world which are done on silicon as a semiconductor. There can be many applications many of them are unknown but those which are knowns are pharmaceuticals, making of drugs, cybersecurity and many more.

A supercomputer which performs on bits which are 0 and 1, which means it is on a binary perform. In our systems all the keys and the command which we give to the computer are in terms of a bit like the alphabet a has a bit 01000001 like this all alphabets and numbers have bits from which a computer understand our command or in easier way its a translator between us and computers but they are only two values or I can say it is up to a limit that it can be either 0 or 1 means it has limitations but if we talk about quantum computers it performs on qubits, till now we are having a value either 0 or 1 but in a qubit it can have both values at the same time, how?? Here comes a new term superposition, superposition of both the values 0 and 1 means at the same time a qubit can have both the values in superposition if we try to right it in a wave function way it will be

It means that till now we were restricted that we can get only one output but now we can get multiple outputs at a same time, isnt this cool? I will write an article on comparison of bits and qubit but till now we have to understand that a qubit can have many values at single time.

Lets understand qubit through an example, suppose we have 4 bits (0110) it can make total of 16 combinations, if we talk about normal computers it will use only one combination at a time but if we talk about a quantum computer its qubit will give all the 16 combinations at the same and we can take any of the desired result, conclusion is it is a game of probability and yes quantum relates with this.

A one qubit can give information of two events at the time, two qubits can give information of four, three of eight they are increasing exponentially so approx. millions of qubits which is not a big number can give information of whole universe?? The answer is yes. Till now worlds largest qubits quantum computer is made by IBM.

All these super advanced functions if to be done there will lot of heat will be released which can burn the system and on normal temperatures a quantum will not work so a temperature of absolute zero which is 0k is required to operate which is not easy but has been done by our laboratories where the work on quantum computers are done, for us to use it till now it is not possible because maintaining that temperature around is not feasible so we can use it on clouds only on the site of IBM you can use the quantum computing on qiskit which is an IDLE for qubits where programs run. Google is also making quantum computers in which Sundar Pichai, CEO of Google had stated than on next 5 to 10 years quantum computers will give a revolution on the whole world whereas in India there is no work started on development of quantum computers. Due to a large amount of heat released it is impossible to run a quantum computer at a normal temperature it can only be done at absolute zero.

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Quantum Computing: an Introduction - TimesTech

A revolutionary study has recently been published in Science Advances, shedding light on a significant breakthrough in the realm of quantum computing and sensing technologies. The study reports the achievement of quantum coherence at room temperature, a critical milestone that could steer the future of quantum technology toward more practical and efficient applications.

Quantum coherence is a unique phenomenon in quantum physics, where all the quantum states of a system evolve in unison. This characteristic is fundamental for quantum computing, as it underpins the power of quantum bits or qubits, the fundamental units of quantum information. However, achieving and maintaining quantum coherence has been a challenging task, especially under room temperature conditions, until now.

Researchers have pioneered an innovative technique that allows quantum coherence to be maintained at room temperature. This was achieved by embedding a chromophore in a metal-organic framework, a method that has shown promising results in stabilizing qubits at room temperature. This groundbreaking technique paves the way for the development of room-temperature molecular quantum computing and quantum sensing of various target compounds.

This achievement has a wide array of implications for the development of practical and efficient quantum devices. Quantum computers, for instance, have the potential to perform calculations at a speed that is exponentially faster than traditional computers. Achieving quantum coherence at room temperature could significantly reduce the complexity and cost associated with cooling systems, which are currently necessary to maintain quantum coherence in quantum computers.

Another promising application of this breakthrough lies in the domain of quantum sensing. Quantum sensors leverage quantum coherence to measure physical quantities with unparalleled precision. The ability to maintain quantum coherence at room temperature could dramatically enhance the sensitivity and selectivity of quantum sensors, enabling the detection of various target compounds that were previously challenging to identify.

This breakthrough is a giant leap forward in making quantum technologies more practical and accessible for real-world applications. With further research and development, we could soon see the advent of room-temperature quantum computers and quantum sensors, revolutionizing sectors from healthcare to telecommunications, and beyond. The quantum technology landscape is ripe with potential, and this breakthrough is a significant stride toward harnessing it.

Link:

Revolutionary Study on Room-Temperature Quantum Coherence in Science Advances - Medriva

Unhackable Transactions on Quantum Internet

Recently, a significant milestone in secure online transactions was achieved the first unhackable shopping transactions have been carried out on the quantum internet. This development is a testament to the power and potential of quantum technology in providing unprecedented levels of security and privacy. The quantum internet, with its revolutionary capabilities, has the potential to overhaul online commerce by providing a level of security that was previously unattainable. This groundbreaking achievement has the potential to redefine the future of online shopping and financial transactions.

According to a report from New Scientist, a secure exchange between a merchant and a buyer has been successfully tested as a proof of concept using a small quantum computing network in China. The researchers responsible for this breakthrough, Hua-Lei Yin at Renmin University of China along with his colleague, have demonstrated a proof of concept for secure quantum e-commerce. They built a small network from five quantum computers connected with several kilometers of fiber.

The success of this proof of concept signifies the potential of a network of quantum computers enabling the creation of a more secure quantum internet. Quantum technology leverages the principles of quantum mechanics to ensure the highest level of security during data transmission. Any attempt to intercept or tamper with the data alters its state, thus alerting the intended recipient of a potential breach. This provides a level of privacy and security that is unmatched by traditional internet technology.

The advent of the quantum internet could revolutionize the way we conduct online transactions. Currently, online shoppers and merchants are at constant risk of data breaches and cyber theft. Traditional security measures are increasingly unable to withstand sophisticated cyber-attacks, resulting in significant financial and personal data loss. However, with the quantum internet, shoppers and merchants can enjoy a secure environment for online transactions, free from the fear of hacks and breaches.

While the quantum internet is still in its early stages of development, its potential to transform the future of online shopping and financial transactions is undeniable. The first unhackable shopping transactions on the quantum internet mark a significant milestone in the journey towards a more secure digital economy. As quantum technology continues to evolve and becomes more accessible, we can expect a seismic shift in the way we conduct online transactions, ensuring unprecedented levels of security, privacy, and trust.

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Unhackable Transactions on Quantum Internet - A Milestone in Secure Online Transactions - Medriva

Invest in quantum leap in 2024, uncovering tech stocks driving the quantum computing industry's explosive growth

As we usher in 2024, quantum computing stocks are not just buzzwords but pivotal players in a technological revolution. Quantum computing, a field brewing for decades, currently stands at the forefront of innovation. Its a realm where the peculiarities of quantum mechanics converge to forge computing power, effectively dwarfing traditional methods.

Moreover, though quantum computing still dances mostly within the experimental stages in commercial settings, its promise remains undeniable. Functional quantum systems are no longer a fragment of science fiction they are a reality. The implications of this technology are vast and varied, stretching from societal advancements to inevitable security challenges. Yet, the promise held within these quantum computing stocks is palpable, a promise of a future where the benefits far surpass the risks.

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IonQ(NYSE:IONQ) stands out in the quantum computing space as a dedicated player, distinct from the sprawling tech giants which traditionally dominate the sector. This focus gives IonQ an edge, primarily considering its smaller market cap which hints at a robust upside potential for investors. As the first pure-play quantum computing company to go public, IonQ doesnt just participate in the quantum computing conversation; it leads it. With the industry still in its early stages, IonQs role in the sector is critical to the quantum computing narrative.

A significant draw for IonQ is its impressive collaborations with all three major cloud providers. Notably, its Aria quantum computer integrates seamlessly with Amazon (NASDAQ:AMZN), a platform enabling advanced tasks, including testing quantum circuits. This accessibility is a big leap forward for quantum computing applications. Financially, IonQs trajectory has been remarkable. Surpassing its $100 million cumulative bookings target since 2021 and accumulating $58.4 million in bookings in 2023 alone, IonQ demonstrates potent growth. Despite its unprofitability in terms of cash flow, the companys revenue for the third quarter surged by 122% year-over-year (YOY), a clear indicator of its mushrooming potential in a nascent yet rapidly evolving market.

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Nvidia(NASDAQ:NVDA) has established itself as a titan in the tech sphere, particularly in 2023, with its groundbreaking h100 chips leading the charge in artificial intelligence (AI) applications. The anticipation for 2024 is already high as Nvidia gears up to unveil the h200, the successor to the h100. The h200 is poised to elevate Nvidias status even further, reinforcing its position as a frontrunner in the tech world.

Beyond its AI prowess, Nvidia is making significant strides in quantum computing. Its cuQuantum project, aimed at stimulating quantum circuits, has broken new ground in the simulation of ideal and noisy qubits. Nvidias expertise in simulating quantum computing environments is another compelling reason for investors to take note. Moreover, Nvidias projections for a potential quadrupling by 2035 indicate a promising path for long-term investment.

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Alphabet(NASDAQ:GOOG, NASDAQ:GOOGL) is emerging as a powerhouse in the quantum computing sphere, achieving a pivotal breakthrough in February by reducing computational errors in its quantum bits. This advancement is a critical step towards making quantum computers not only usable but commercially viable. Alphabets dedication to overcoming one of the major hurdles in quantum computing commercialization highlights its commitment to leading in this innovative field.

Financially, Alphabet is on a strong footing, bolstered by its decision to efficiently reorganize its advertising business, which represents a staggering 80% of its total revenue. This reorganization comes on the heels of a remarkable $54.4 billion in ad sales in the recent quarter. Such strategic shifts could further enhance the companys robust financial performance. Additionally, Alphabets foray into AI with the launch of Gemini, an AI model designed to rival Microsofts OpenAI, showcases its ambition to convert technological prowess into tangible sales growth. The companys impressive top and bottom lines, with sales of $297.13 billion and net income of $66.73 billion, further solidify its position as a robust contender in the tech arena, poised for continued growth and innovation.

On the date of publication, Muslim Farooque did not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

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3 Quantum Computing Stocks to Tap into the Future in 2024 - InvestorPlace

Exploring the convergence of quantum computing, DNA data storage, and AI how these technologies could revolutionize computing power, memory, and information handling if challenges around implementation and ethics are overcome.

Check out these two books for a deeper dive and to stay ahead of the curve.

Computing technology has advanced in leaps and bounds since the early days of Charles Babbages Analytical Engine in the 1800s. The creation of the first programmable computer in the 1940s ushered in a digital revolution that has profoundly impacted communication, commerce, and scientific research. But the binary logic that underlies modern computing is nearing its limits. Exploring new frontiers in processing power, data storage, and information handling will enable us to tackle increasingly complex challenges.

The basic unit of binary computing is the bit either a 0 or 1. These bits can be manipulated using simple logic gates like AND, OR, and NOT. Combined together, these gates can perform any logical or mathematical operation. This binary code underpins everything from representing the notes in a musical composition to the pixels in a digital photograph. However, maintaining and expanding todays vast computational infrastructure requires massive amounts of energy and resources. And binary systems struggle to efficiently solve exponentially complex problems like modeling protein folding.

In the quest to surpass the boundaries of binary computing, quantum computing emerges as a groundbreaking solution. It leverages the enigmatic and powerful principles of quantum mechanics, fundamentally different from the classical world we experience daily.

Quantum Mechanics: The Core of Quantum Computing

Quantum computing is rooted in quantum mechanics, the physics of the very small. At this scale, particles like electrons and photons behave in ways that can seem almost magical. Two key properties leveraged in quantum computing are superposition and entanglement.

Superposition allows a quantum bit, or qubit, to exist in multiple states (0 and 1) simultaneously, unlike a binary bit which is either 0 or 1. This means a quantum computer can process a vast array of possibilities at once.

Entanglement is a phenomenon where qubits become interlinked in such a way that the state of one (whether its a 0, a 1, or both) can depend on the state of another, regardless of the distance between them. This allows for incredibly fast information processing and transfer.

Exponential Growth in Processing Power

A quantum computer with multiple qubits can perform many calculations at once. For example, 50 qubits can simultaneously exist in over a quadrillion possible states. This exponential growth in processing power could tackle problems that are currently unsolvable by conventional computers, such as simulating large molecules for drug discovery or optimizing complex systems like large-scale logistics.

Revolutionizing Fields: Cryptography and Beyond

Quantum computing holds the potential to revolutionize numerous fields. In cryptography, it could render current encryption methods obsolete, as algorithms like Shors could theoretically break them in mere seconds. This presents both a risk and an opportunity, prompting a new era of quantum-safe cryptography.

Beyond cryptography, quantum computing could advance materials science by accurately simulating molecular structures, aid in climate modeling by analyzing vast environmental data sets, and revolutionize financial modeling through complex optimization.

Key Quantum Algorithms

Research in quantum computing has already produced notable algorithms. Shors algorithm, for instance, can factor large numbers incredibly fast, a task thats time-consuming for classical computers. Grovers algorithm, on the other hand, can rapidly search unsorted databases, demonstrating a quadratic speedup over traditional methods.

The Road Ahead: Challenges and Promises

Despite its potential, quantum computing is still in its infancy. One of the major challenges is maintaining the stability of qubits. Known as quantum decoherence, this instability currently limits the practical use of quantum computers. Keeping qubits stable requires extremely low temperatures and isolated environments.

Additionally, error rates in quantum computations are higher than in classical computations. Quantum error correction, a field of study in its own right, is crucial for reliable quantum computing.

Quantum computing, though still in the developmental stage, stands at the forefront of a computational revolution. It promises to solve complex problems far beyond the reach of traditional computers, potentially reshaping entire industries and aspects of our daily lives. As research and technology advance, we may soon witness the unlocking of quantum computings full potential, heralding a new era of innovation and discovery.

DNA data storage emerges as a paradigm shift, harnessing the building blocks of life to revolutionize how we store information.

Unprecedented Storage Capabilities

DNAs storage density is unparalleled: one gram can store up to 215 petabytes of data. In contrast, traditional flash memory can hold only about 128 gigabytes per gram. This immense capacity could fundamentally change how we manage the worlds exponentially growing data.

Longevity and Reliability

DNA is not only dense but also incredibly durable. It can last thousands of years, far outstripping the lifespan of magnetic tapes and hard drives. Its natural error correction mechanisms, rooted in the double helix structure, ensure data integrity over millennia.

DNA for Computation and Beyond

Beyond storage, DNA holds potential for computation. Researchers are exploring DNA computing, where biological processes manipulate DNA strands to perform calculations. This could lead to breakthroughs in solving complex problems that are infeasible for conventional computers.

Challenges in Practical Implementation

Despite its promise, DNA data storage is not without challenges. Synthesizing and sequencing DNA is currently expensive and time-consuming. Researchers are working on methods to streamline these processes and reduce error rates, which are crucial for making DNA a practical medium for everyday data storage.

While quantum computing offers exponential speedups on specialized problems, its broader applicability and scalability remain uncertain. And both quantum and DNA computing currently require extremely low operating temperatures only possible with expensive equipment. They also consume large amounts of energy, though less than traditional data centers. However, both offer inherent data security advantages. Quantum computations cannot be copied, while DNA data storage is dense and hard to access. We may see hybrid deployments that apply these technologies to niche applications. For generalized workloads, traditional binary computing will likely dominate for the foreseeable future.

The integration of AI with quantum computing and DNA data storage represents a leap forward in computational capability.

AI and Quantum Computing: A Synergy for Complex Problems

AI algorithms can leverage the immense processing power of quantum computers to analyze large datasets more efficiently than ever before. This synergy could lead to breakthroughs in fields like drug discovery, where AI can analyze quantum-computed molecular simulations.

AI and DNA Data Storage: Managing Massive Databases

With DNAs vast storage capacity, AI becomes essential in managing and interpreting this wealth of information. AI algorithms can be designed to efficiently encode and decode DNA-stored data, making it accessible for practical use.

Ethical and Societal Implications

As highlighted in The Coming Wave by Mustafa Suleyman, the intersection of these technologies raises significant ethical questions. The use of genetic data in AI models, for instance, necessitates stringent privacy protections and considerations of genetic discrimination.

Looking Ahead: AI as the Conductor

The future sees AI not just as a tool but as a conductor, orchestrating the interplay between quantum computing and DNA data storage. This involves developing new algorithms tailored to the unique properties of quantum and DNA-based systems.

Google AI recently demonstrated a program that can autonomously detect and correct errors on a quantum processor, a major milestone. On the DNA computing front, researchers successfully stored a movie file and 100 books using DNA sequences. Ongoing studies also show promise in using DNA to manufacture nanoscale electronics for faster, denser computing. Quantum computing is enabling models of complex chemical reactions and biological processes. As costs decline, we could see exponential growth in synthesizing custom DNA and practical quantum computers.

Despite promising strides, there are still obstacles to realizing commercially viable DNA and quantum computing. Stability of quantum bits remains limited to milliseconds, far too short for practical applications. And while DNA sequencing costs have dropped, synthesis and assembly costs remain prohibitively high. There are also ethical pitfalls if without careful oversight, like insurers obtaining genetic data, or AI algorithms exhibiting biases. Job losses due to increasing automation present another societal challenge. Investments in retraining and social programs will be necessary to ensure shared prosperity.

Hybridized quantum-DNA computing could transform our relationship with information and usher in an era of highly personalized medicine and hyper-accurate simulations. It may even require overhauling information theory and rethinking how humans interact with advanced AI. But we must thoughtfully navigate disruptions to industries like finance and cryptography. Avoiding misuse will also require international cooperation to enact governance frameworks and design systems mindful of ethical dilemmas. With wise stewardship, hybrid computing could positively benefit humanity.

The convergence of quantum computing, DNA data storage, and AI represents an unprecedented phase change for processing power, memory, and information handling. To fully realize the potential, while mitigating risks, we must aggressively fund research and development at the intersection of these fields. The technical hurdles are surmountable through collaboration between the public and private sectors. But establishing governance and ethical frameworks ultimately requires a broad, multidisciplinary approach. If society rises to meet this challenge, we could enter an age of scientific wonders beyond our current imagination.

Check out these two books for a deeper dive:

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Beyond Binary: The Convergence of Quantum Computing, DNA Data Storage, and AI - Medium

Two groundbreaking studies have developed a method for controlling quantum entanglement in molecules, specifically calcium fluoride (CaF), using an optical tweezer array to create highly entangled Bell states. This advancement opens new avenues in quantum computing and sensing technologies.

Advancements in quantum entanglement with calcium fluoride molecules pave the way for new developments in quantum computing and sensing, utilizing controlled Bell state creation.

Quantum entanglement with molecules has long been a complex challenge in quantum science. However, recent advancements have emerged from two new studies. These studies showcase a method to tailor the quantum states of individual molecules, achieving quantum entanglement on demand. This development offers a promising platform for advancing quantum technologies, including computation and sensing. Quantum entanglement, a fundamental aspect of quantum mechanics, is vital for various quantum applications.

Ultracold molecules, with their intricate internal structure and long-lived rotational states, are ideal candidates for qubits in quantum computing and quantum simulations. Despite success in creating entanglement in atomic, photonic, and superconducting systems, achieving controlled entanglement between molecules has been a challenge. Now, Yicheng Bao and colleagues, along with Conner Holland and colleagues, have developed a method for the controlled quantum entanglement of calcium fluoride (CaF) molecules.

These studies utilized the long-range dipolar interaction between laser-cooled CaF molecules in a reconfigurable optical tweezer array. They successfully demonstrated the creation of a Bell state, a key class of entangled quantum state characterized by maximum entanglement between two qubits. The Bell state is crucial for many quantum technologies.

Both studies show that two CaF molecules located in neighboring optical tweezers and placed close enough to sense their respective long-range electric dipolar interaction led to an interaction between tweezer pairs, which dynamically created a Bell state out of the two previously uncorrelated molecules.

The demonstrated manipulation and characterization of entanglement of individually tailored molecules by Baoet al.and Hollandet al.paves the way for developing new versatile platforms for quantum technologies, writes Augusto Smerzi in a related Perspective.

References:

Dipolar spin-exchange and entanglement between molecules in an optical tweezer array by Yicheng Bao, Scarlett S. Yu, Loc Anderegg, Eunmi Chae, Wolfgang Ketterle, Kang-Kuen Ni and John M. Doyle, 7 December 2023, Science. DOI: 10.1126/science.adf8999

Entanglement with tweezed molecules by Augusto Smerzi, 7 December 2023, Science. DOI: 10.1126/science.adl4179

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Breaking the Cold Barrier: The Cutting-Edge of Quantum Entanglement - SciTechDaily

To a lot of IT leaders, quantum computers sound closer to science fiction than something that can be implemented in their data centers. But it's on the way; IBM last month introduced System Two, the first quantum computer that connects three processors to work together.

Last year's small steps on the quantum roadmap are turning into this year's bigger leaps. IBM charged Scott Crowder, vice president of quantum adoption, with the task of helping customers discover new uses for quantum computing, as well as the development of the software to accomplish those tasks. We asked Crowder to give CIOs a progress report on where quantum computing technology has advanced, and what it will take to get it into the enterprise.

For those who have heard of quantum computing but don't quite grok it, how does it differ from the classical computing that powers our laptops, phones and desktops?

Scott Crowder: It fundamentally uses a different information science. It's not like classical in the sense that we were doing classical information science before we invented digital computers. This is different in the way it does computation. Therefore, it's better at certain kinds of math than the computers of today are bad at and vice versa.

You could theoretically run anything on a universal quantum computer, but you wouldn't want to. You only want to run through quantum the things that classical computers aren't great at and what quantum computers have been proven to be good at. They leverage quantum mechanics, so it is like sci-fi come to life. It can do certain kinds of computation that we might never ever, ever be able to do using a classroom.

When will we see more mainstream adoption of quantum computers, and what will that look like?

Crowder: Before this year, you could argue that anything you could do with a quantum computer could be simulated classically. There was no point of doing the computation on a computer other than learning about its information science. But that's changed. This year, for the first time, you actually could run something on a quantum computer that you can't run on a classical simulator. It doesn't mean you can run anything on a quantum computer. It's the first couple of kinds of computations that you can actually get value out of a quantum computer as opposed to trying to simulate it.

Over the next couple of years, the usefulness or utility will continue to expand. Right now, there are limitations of how big a problem we can run because of the quality of the systems. But we're past the point where there's value in running a quantum computer. It doesn't mean there's business value yet, because problems tend to get bigger, they need to be integrated into your workflows, etc. But we don't think it's going to take until 2033 for other people to get business value.

In the 1940s, we weren't carrying around classical computers in our pocket and doing whatever it is we're doing on our phones. They were the initial use cases in scheduling. I think that's going to be true this decade [for quantum computers]. In the next decade when the systems get bigger and bigger and bigger -- and better and better and better -- you're going to see more and more use cases.

What will be the first use cases?

There are three kinds of math that quantum computers are getting better at.

One of them is around simulating nature. Materials, properties, physics, chemistry -- think of all the industrial as well as healthcare and life sciences chemistry-related things.

The second kind of math that quantum computers will be better at is a certain kind of complex structure in the data. The most famous algorithm, Shor's algorithm -- which all the nation-states are interested in -- is that kind of math. It does factoring: A times B equals C. A times B; regular old computers are good at giving you C. But given C, your computer is not good at figuring out what A and B were. Classical computers are not good at that kind of math, which is a good thing. If we don't have cryptography, we don't have a digital economy.

This is part of the discussion about quantum. If it falls into the hands of bad actors, we are in deep trouble. But this kind of math is also used in machine learning -- things like classification. It can help find fraud, better trial sites for clinical trials and better treatments when it's given a patient's health record data. There's a lot of interest in the industry of leveraging quantum computers in the near term for those kinds of problems.

The last kind of math, which is also interesting -- but for the second phase of the journey late this decade or in the next decade -- is around optimization. What takes me N tries on a regular old computer will take the square root of N tries on a quantum computer. So N equals 100, squared equals a factor of 10. There might be breakthroughs in that space as well. Examples might be portfolio optimization in financial services, risk management and logistics -- a whole bunch of things that people struggle with using regular computers to document today.

Quantum computers run somewhere down near zero degrees Kelvin. How are we going to solve the freezer problem? Put them in space?

Crowder: Unfortunately, space isn't cold enough.

We need to isolate the computing part of it from the rest of the universe because you're programmatically entangling these qubits with each other in a specific way. It can't be perfectly isolated (at absolute zero) because if it is perfectly isolated, we can't get them to do anything. It needs to be just connected enough to the rest of the universe so you can program it, but the rest of the universe can't muck with it. That's why either you need to keep it very, very, very, very cold -- like we do with our technology -- or you need to shoot laser beams at it [using a light-based approach] to take the entropy out. It's complicated, and it's not room temperature, no matter how you do it.

The good news is that there are commercial refrigeration techniques that are stable. They're low cost, and they're low energy compared to regular old computers -- like compared to a rack of electronics. These things seem extremely efficient. The refrigeration action is not that big of a problem. There are other problems in scaling them and getting the cost down, but the underlying technology is there.

Do you think that quantum computers will ever make it into the average enterprise data center? Or will it be reserved for specialized use only large enterprises will be able to afford?

Crowder: The infrastructure around quantum computers, I know, seems weird and different right now. But we've deployed them at Cleveland Clinic; we've deployed them in Germany, Japan and Canada. We have large data centers. I think in the near-term, like the next several years, the technology is so rapidly advancing that it probably doesn't make sense plopping them in enterprise data centers, because you're going to want the latest technology.

Cloud delivery has definite advantages because the software stack is evolving quickly and allows us to get new capabilities out to everybody at the same time and because the underlying hardware improves year by year by year. You're going to have quantum computers in enterprise data centers, whether that be [via] cloud provider or on premises. It's going to happen. It just doesn't make sense in the next several years.

Explain how quantum computing will intersect with AI. We have heard that quantum is not a match for generative AI.

Crowder: It's a mix. People usually use the word AI to mean the latest trend in AI.

Thinking of AI in a broader sense [than just generative AI], yes, there is a direct connection in terms of finding data patterns and complex structure problems, through machine learning or other means. Quantum will automatically do a better job of classification, as an example. That's not generative AI.

Generative AI is the latest stage in AI, and that is now the definition of AI for the next year or two until we come up with something else -- the next definition of AI. Generative AI has just a tenuous connection to quantum computing. There are people who are doing research and looking at leveraging quantum on neural networks as opposed to deep neural networks. I don't think anything has proven that quantum is going to be better in that space. But some researchers think that it might. Over the next couple of years, we'll find out the answer. But at this point I haven't seen any data that says definitively "yes." But I haven't seen any data that says definitively "no" either.

Don Fluckinger covers digital experience management, end-user computing, CPUs and assorted other topics for TechTarget Editorial. Got a tip? Email him here.

Originally posted here:

Where AI and quantum computing meet - TechTarget

With the technology machinery running at full speed, forward-looking investors should consider the hottest quantum computing stocks for the prospect of robust profitability. To be sure, the pure-play ecosystem presents high risks. At the same time, the potential paradigm shift involved in quantum computers makes the bullish case incredibly enticing.

Essentially, the innovation empowers simultaneous multi-tiered data transmissions at a level that classical computers could never hope to achieve. Thats because the latter category is effectively a binary proposition. To solve a multi-tiered problem, it must first tackle the earlier iteration before resolving the subsequent challenges.

Quantum computers? They can address multiple problem sets, in part because the underlying qubit can exist in two physical states owing to the straight-up weird phenomenon of quantum mechanics at one time. Bottom line, it opens doors previously considered permanently closed, thus undergirding hot quantum stocks.

For full disclosure, the sector is very much young and there will almost certainly be growing pains. So, dont play in this sandbox if you cant handle volatility. Still, if you can accept the risk-reward profile, these hottest quantum computing stocks deserve a closer look.

Source: IgorGolovniov / Shutterstock.com

While internet and tech innovation juggernaut Alphabet (NASDAQ:GOOG, NASDAQ:GOOGL) may be a mature and thus boring idea, GOOG should help you on the road to the hottest quantum computing stocks that are proven viable. Analysts agree, rating shares a consensus strong buy with a $155.60 average price target. The high-side target lands at $160.

Through its Google Quantum AI team, Alphabet represents a major player in the research and development of superconducting quantum processors and software tools. So far, the company has achieved significant milestones in demonstrating its quantum supremacy. Enticingly, the quantum computing market could be worth $6.5 billion by 2028, representing a CAGR of 48.1% from 2023.

Although GOOG is unquestionably one of the hot quantum computing stocks, the main difference between parent Alphabet and the competition centers on the primary focus. Alphabet is more research oriented and it can afford to do so thanks to its robust financials.

In other words, its not one of the hottest quantum computing stocks based on upward mobility potential. However, you can trust Alphabet to be around in the next hundred years.

Source: T. Schneider / Shutterstock

Based in Canada, D-Wave Quantum (NYSE:QBTS) claims to be the worlds first company to sell computers that exploit quantum effects in their operation. It carries serious clout, with D-Waves early customers stemming from esteemed names like Alphabets Google and the University of Southern California. Analysts anticipate great things from QBTS, pegging it a unanimous strong buy with a $2.17 price target. That makes it one of the hottest quantum computing stocks based on implied growth.

Fundamentally, D-Wave is relevant to the discussion thanks to its specialty in building annealing quantum computers. These devices are specifically designed for solving so-called optimization problems, such as logistics, scheduling and financial modeling. Further, D-Waves processors are based on superconducting qubits arranged in a chimera topology. This distinct profile enables the company to tackle specific challenges at a much faster clip than classical computers.

Financially, the risk for QBTS is that its largely a narrative play. For example, shares trade at a trailing-year revenue multiple of 12.62X. Needless to say, thats sky high. However, with the projected growth of the underlying field, QBTS might be an opportunity based on where it might go.

Source: Shutterstock

Headquartered in Berkeley, California, Rigetti Computing (NASDAQ:RGTI) develops quantum integrated circuits (ICs). An IC is basically a canvas of semiconductor wafers with millions of tiny resistors, capacitors and other components. Rigetti also develops a cloud platform called Forest that enables programmers to write with quantum algorithms. Analysts love RGTI, rating shares a unanimous strong buy with a $3. That also makes it one of the hottest quantum computing stocks based on implied shareholder profit.

As mentioned above, Rigetti lays a stake in the quantum field through its software platform. Beyond providing tools for algorithm design, Forest enables quantum circuit development and error correction. Therefore, it caters to both researchers and developers who may be working on different quantum applications. Further, the company aims to introduce practical applications in areas like materials science, chemistry and even financial modeling.

According to investment data aggregator Gurufocus, Rigettis projected future three-to-five-year revenue growth rate clocks in at 45.29%. That would be impressive if it comes true. However, investors should realize that right now, RGTI trades at 7.93X trailing-year sales, which is significantly overpriced. Still, if you anticipate a bright future, Rigetti could be one of the hot quantum computing stocks to consider.

On the date of publication, Josh Enomoto did not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

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The 3 Hottest Quantum Computing Stocks to Watch in 2024 - InvestorPlace