Category Archives: Quantum Computing
Authenticating in a Post-Quantum World – The Quantum Insider
At the first Future Cryptography Conference held in Tallinn, Estonia, the primary focus was on Post-Quantum Cryptography (PQC). With the advent of quantum computing, traditional cryptographic methods face obsolescence, necessitating a new paradigm in secure communication. Esteemed experts from Estonia and Czechia gathered to deliberate on the challenges and advancements in PQC, addressing standards, applications, and strategies for migration to these new technologies.
One of the most compelling presentations was by Peeter Laud, a Senior Researcher at Cybernetica, who tackled the intricate question: How will I authenticate myself in a post-quantum world? His presentation went deep into the core of authentication in a future dominated by quantum computing.
Lauds discussion began with the fundamental need for authenticationensuring secure connections and safeguarding cryptographic material. He posed crucial questions about identity: What constitutes me? Is it just a name, date of birth, personal code, biometrics, or a combination of these? In the realm of cryptographic protocols, it involves public keys bound to individuals by certificates, which are then signed by trusted authorities. The use of private keys for cryptographic operations is essential in this context.
Laud paid attention to the disparity in the capability of current devices to execute PQ crypto algorithms and protect cryptographic material. Devices such as computers, smartphones, secure elements, embedded devices, and smart cards each have varying levels of support for PQ authentication protocols. For relying parties, computers (servers) and Hardware Security Modules (HSM) are pivotal as they need to compute digital signatures.
Laud stressed the potential of threshold cryptography in post-quantum authentication. However, existing threshold protocols for algorithms like Dilithium are currently too inefficient for practical applications like Smart-ID. Yet, these protocols are generic, and optimizing them for specific settings, such as two-party scenarios, could overcome inefficiencies. Laud introduced TOPCOAT, a Dilithium-inspired threshold signature scheme designed for two signing parties, showcasing its practical efficiency while relying on lattice-based hardness assumptions.
The presentation also touched on the theoretical underpinnings of quantum security. Laud discussed the quantum reductions and how some hardness assumptions hold even in the presence of quantum adversaries. Although many cryptographic constructions, including TOPCOAT, only have classical proofs of security, there is ongoing research to establish quantum reductions.
Looking ahead, Laud outlined a way forward involving secure multiparty computation (SMC) protocols and the role of correlated randomness. Practical deployment of these protocols requires considerations of performance and the isolation between server and correlated randomness generators.
This discussion at the Future Cryptography Conference is part of a broader conversation, including Estonias roadmap for encryption in the age of quantum computing. As detailed in the earlier piece: Estonias Roadmap For Encryption In The Age Of Quantum Computing The Quantum Insider published from the same conference, Estonia is taking proactive steps in preparing for a post-quantum world, ensuring that its cryptographic infrastructure remains robust and secure.
Lauds insights underscore the complexity and necessity of evolving our authentication methods to meet the challenges posed by quantum computing. As research and development continue, the integration of these advanced cryptographic techniques will be crucial in safeguarding our digital identities in the quantum era.
Featured image: Credit: Future Cryptography Conference
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Authenticating in a Post-Quantum World - The Quantum Insider
Google Is Looking For Proposals to Push Boundaries in Distributed Quantum Computing – The Quantum Insider
Google is leveraging its success in modular computing to advance quantum technology. The companys Quantum AI team is developing superconducting qubit platforms, aiming to enhance robustness, cost efficiency and performance in data centers through distributed computing.
To support these efforts, Google is opening up an academic research program with awards of up to $150,000 USD for projects investigating quantum transduction and networking for scalable computing applications. Larger grants are available for exceptional experimental proposals that demonstrate a clear and compelling rationale for increased funding, the team added.
The shift to distributed quantum computing promises increased modularity and design robustness while significantly reducing control wiring and cryogenics requirements, according to information about Googles proposal request. The ability to process quantum data directly from its source could also lead to groundbreaking scientific discoveries, impacting both immediate experiments and the future architecture of Googles quantum devices.
Significant challenges remain, particularly in high-fidelity information transfer between superconducting qubits and optical photons, a process known as transduction. This technology is still in its early stages, and research to improve it is essential. The development of applications for distributed quantum systems, beyond parallel computing and quantum key distribution, is crucial for further progress.
Googles approach builds on the demonstrated advantages of modular computing over traditional monolithic architectures. These advantages include greater robustness, lower costs, and enhanced performance, benefits that are applicable from single-facility networks to global data-sharing systems. By applying these principles to quantum technology, Google aims to create more efficient and scalable quantum computing systems.
One primary benefit of distributed quantum computing within data centers is the potential for increased modularity. This modular approach allows for more robust system design, reducing the likelihood of system-wide failures. Additionally, it dramatically decreases the need for extensive control wiring and cryogenics, which are significant challenges in the development and maintenance of quantum computers.
Moreover, the ability of quantum technology to process data directly from its source could lead to unprecedented scientific discoveries. This capability enables the real-time analysis of quantum data, which could uncover new insights and advance our understanding of the universe. Such advancements are expected to have a profound impact on both the design of near-term experiments and the future architectures of Googles quantum devices.
Despite these promising prospects, the field faces significant hurdles. High-fidelity transduction, the process of transferring information between superconducting qubits and optical photons, remains underdeveloped. Improving this technology is critical for the advancement of distributed quantum computing. Research efforts must focus on enabling the seamless transfer of quantum information between different media, such as optical or flying microwave qubits.
Google has outlined specific research topics for proposals to address these challenges. These include the transduction of superconducting qubits to quantum transmission media like flying microwave qubits and optical qubits, and the direct transduction of alternative sensing or computing platforms, such as neutral atom arrays or defects in diamond, to superconducting qubits. Other research topics include the development of scientific or industrial applications for linked quantum systems with fewer than 50 logical qubits, and applications for multi-qubit quantum sensors linked to quantum computers via transduction to achieve exponential speedups in quantum learning.
According to Google, funds will be disbursed as unrestricted gifts to universities, not intended for overhead or indirect costs.
Eligibility for these awards is open to professors at universities or degree-granting research institutions. Proposals must be related to computing or technology, and applicants can only serve as Principal Investigator (PI) or co-PI on one proposal per round, with a maximum of two PIs per proposal. Proposals should align with Googles AI Principles and demonstrate potential for significant impact.
Google Quantum AI will host informational sessions with live Q&A to discuss these technologies and their potential applications. Interested parties can RSVP here.
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Google Is Looking For Proposals to Push Boundaries in Distributed Quantum Computing - The Quantum Insider
Rag to Riches: 3 Quantum Computing Stocks That Could Make Early Investors Rich – InvestorPlace
Quantum computing stocks should be in the portfolios of all smart investors because, like generative AI, the idea has the potential to change everything, which is why experts think the market could be worth $93 billion by 2040.
Analysts are excited about the space because the industry is changing quickly. For example, making ultra-pure silicon chips is a big step forward that could help quantum computers get faster and stronger.
Aside from the fast progress being made in the field, the laws that are being made for this new area are also very important in understanding the strength of quantum computing stocks. The National Quantum Initiative Act sets up a government attempt to speed up the study and growth of quantum physics. The Department of Energy also set aside $24 million on quantum network tests, and more recently, the U.S. and Germany agreed to work together on quantum computing projects.
That being said, when investing in quantum computing stocks, one must remember that this is still a new area. The ability to make quick cash exists; however, the possibility of getting burned is also there, which is why its best to stick with tried-and-tested performers rated highly by analysts.
Source: IgorGolovniov / Shutterstock.com
Alphabet (NASDAQ:GOOG, NASDAQ:GOOGL) controls multiple companies, including YouTube, which has 4.95 billion daily active users, and Google, which has roughly 92% of the search industry. Its also making waves in quantum computing.
Alphabet collaborates with J.P. Morgan (NYSE:JPM) for financial services optimization, CERN for particle physics, Airbus (OTCMKTS:EADSY) for aerospace, and Volkswagen (OTCMKTS:VWAGY) for automotive improvements.
To reduce quantum computing errors using Google Quantum AI is a huge step forward. Sycamore 3 processors improve control integrity, cross-talk, qubit relaxation, and dephasing.
Google researchers demonstrated quantum teleportation via a measurement-induced phase shift in a 70-qubit quantum device. This finding increases our understanding of quantum entanglement and explains how to manufacture it across long distances, which is vital for future quantum communication networks.
Additionally, Google, the XPRIZE Foundation, and GESDA are hosting a $5 million contest to develop quantum computing algorithms. Thus, Alphabet, with a strong buy rating and four earnings beats in a row, including a 25% surprise, is one of the best all-around quantum computing stocks around.
Source: michelmond / Shutterstock.com
Nvidia (NASDAQ:NVDA) became the second most valuable company in the world recently with $3 trillion after posting record revenues of $26 billion, up 18% sequentially and 262% from a year ago, and $5.98, up 21% from the previous quarter and 629% from a year ago.
While much of the attention goes towards its AI-oriented processors, Nvidia is also making waves in the quantum computing field, establishing its reputation among industry insiders as one of the top quantum computing stocks out there.
Using its open-source CUDA-Q platform, Nvidia has sped up work on quantum computing at a number of national supercomputing centers around the world. In Germany, Japan, and Poland, this platform is now an important part of supercomputing sites.
Nvidia is also working with Australias Pawsey Supercomputing Research Centre to advance quantum computing. They are installing eight Nvidia Grace Hopper Superchip nodes, which combine CPU and GPU operations to boost performance.
In addition, together with Rolls-Royce and Classiq, Nvidia has made a quantum computing breakthrough that will help make jet engine designs more efficient. Using Nvidias quantum platform to improve the merging of quantum and traditional computing systems, this project aims to build the worlds biggest quantum computing circuit for computational fluid dynamics.
Source: Shutterstock
FormFactor (NASDAQ:FORM) provides quantum engineers with a variety of cryogenic test and measurement options; it recently paired up with Tabor Electronics to develop the Echo-5Q, a fully integrated 5-qubit quantum computer.
This program gives scientists and engineers high-quality physical qubits for research and workforce development using QuantWares QPU. FormFactors LF-600 cryogen-free dilution cooler measures silently down to 5 mK, while Tabors Proteus Direct to RF control circuits give reliable readings.
The PQ500 high-density probe socket from FormFactor removes wire bonding between high-performance quantum and conventional superconducting integrated circuits. This speeds quantum computing processor die testing and characterization, simplifying SEEQC development. FormFactors probe socket technology speeds the response of superconducting IC and multi-chip module foundries.
Whats more, the Model 106 ADR Cryostat provides cryogen-free chilling to ultra-low temperatures for superconducting qubits, improving quantum computing test efficiency and reliability.
On the topic of financials, first-quarter 2024 sales were $168.7 million, up slightly from the previous quarter. FORMs Q1 net income of $21.8 million, or $0.28 per share, beat $1.3 million last year. The sale of its Chinese business unit made a big profit and allowed FORM to concentrate fully on semiconductor testing and quantum computing.
On the date of publication, Faizan 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.
Faizan Farooque is a contributing author for InvestorPlace.com and numerous other financial sites. Faizan has several years of experience in analyzing the stock market and was a former data journalist at S&P Global Market Intelligence. His passion is to help the average investor make more informed decisions regarding their portfolio.
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Rag to Riches: 3 Quantum Computing Stocks That Could Make Early Investors Rich - InvestorPlace
IBM Reportedly Partnering With Japan’s AIST to Develop 10000-Qubit Quantum Computer – The Quantum Insider
AIST and IBM are expected to formalize their collaboration through a memorandum of understanding, with an official announcement imminent. According to Nikkei Asia, this partnership marks a significant milestone as it will be the first time IBM has collaborated on such a large scale with a foreign research institution in the realm of quantum computing.
The development timeline targets 2029 for the quantum computer to be operational. With more than 10,000 qubits, this machine is anticipated to perform high-level calculations with minimal error. A qubit, the fundamental unit of information in quantum computing, plays a role similar to a binary bit in conventional computers. Although there are many other factors to consider such as qubit fidelity qubit counts can provide a very rough measure of performance. Quantum computers, which theoretically offer capabilities to tackle complex problems beyond the reach of classical computers, hold promise for applications ranging from drug discovery to optimizing logistics, Nikkei Asia reports.
Alongside the quantum computer, the partnership will focus on developing essential semiconductors and superconducting integrated circuits, financial service reports. These components are critical as quantum computers must operate at extremely low temperatures, near absolute zero.
AIST, affiliated with Japans Ministry of Economy, Trade and Industry, boasts strong expertise in artificial intelligence and holds patents vital for this quantum computing endeavor, Nikkei Asia noted. The institute plans to leverage this collaboration to involve Japanese parts manufacturers, aiming for mass production capabilities.
IBM, on its part, has a roadmap to begin selling 1,000-qubit quantum computers by 2025. The joint efforts will include encouraging Japanese companies to adopt these systems, with AIST playing a key role in training industries such as pharmaceuticals in quantum computing applications, according to financial service reports.
Despite their potential, quantum computers are still in developmental stages. Current models, including those with 133 qubits, often require the assistance of supercomputers to correct errors during research. However, the envisioned 10,000-qubit quantum computers are expected to operate independently, without such assistance, Nikkei Asia explains.
For quantum computers to achieve widespread commercial use, scientists suggest that hardware will need to reach the 20,000- to 30,000-qubit level. This partnership between AIST and IBM represents a significant step toward this goal, pushing the boundaries of what quantum computing can achieve and setting the stage for transformative technological advancements, Nikkei Asia reports.
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IBM Reportedly Partnering With Japan's AIST to Develop 10000-Qubit Quantum Computer - The Quantum Insider
IBM and AIST collaborate on 10000-qubit quantum computer 75x more qubits than rivals – Tom’s Hardware
IBM has ambitions to take the lead in quantum computing, with a new governmental partnership inbound to make this a reality. Japanese news outlet Nikkei reports on a leaked joint effort by IBM and Japan's National Institute of Advanced Industrial Science and Technology (AIST) that seeks to produce a quantum computer containing 10,000 qubits by 2029, vastly outclassing today's class-leading 133-qubit machines.
Quantum computing has been a major focus of IBM for a few years now, and this newest step forward is a notable one. The 10,000 qubit machine explodes past IBM's current quantum roadmap, which doesn't even reach 2,000 qubits in commercial products until 2033 and beyond. (IBM had previously planned on a 2025 release of a 1,000 qubit computer, Condor, but the prototype has been shelved.) The goal of the 10,000-qubit machine is to run quantum calculations without a traditional supercomputer as backup, as modern 133-qubit machines often make enough mistakes to need support computers checking their work.
IBM and AIST are set to announce the deal with a signed memorandum "in the coming days", according to Nikkei's source. The partnership has some major goals already set forth. IBM and AIST will seek to develop semiconductors and circuits that function in near-absolute zero temperatures. Quantum computers work more efficiently and correctly the closer to zero Kelvin they get, and today's largest machines have to have their qubits and chips/circuits in separate rooms or chambers, so creating components that function at extreme temperatures is a necessary step for advancing quantum research.
AIST will leverage its patents, AI knowledge base, and connections to Japanese part-makers in the production of the forthcoming supercomputer. AIST will also help ensure future quantum supercomputers get into the hands of Japanese companies and industries, by providing training to companies and lobbying for the adoption of quantum by Japanese companies. This access to the lifeblood of Japanese industry is reportedly why IBM made the deal, the company's largest deal with a governmental industry in the quantum field.
It is important to note that much like every other part of computing, one massive number does not a great machine make. Qubit quality and efficiency increase quickly, which is why IBM has shelved recent attempts at 1,000-qubit computers in favor of their 133-qubit machines which beat 1,000-qubit prototypes in quality and efficiency. And just as traditional CPUs utilize hyper-threading and caching for better performance, quantum computing has other methods that increase its performance beyond simply boosting qubit numbers forever. After all, quantum computers become less stable at higher qubit counts, so the future of quantum will rely on smart engineering in keeping the 10,000-qubit and beyond computers of the future stable and inexpensive to run.
IBM and AIST's partnership may turn out to have a serious impact on quantum computing's growth and adoption. But today's quantum is still in its infancy, and has a long way to go before it becomes useful for consumers or professionals. IBM's 2021 quantum processor was recently out-classed by a team of researchers and a Commodore 64, proving IBM and the industry have a long road ahead of them to reach the point of true quantum utility.
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IBM and AIST collaborate on 10000-qubit quantum computer 75x more qubits than rivals - Tom's Hardware
D-Wave Commissioned Survey Reveals High ROI Expectations for Quantum Computing – HPCwire
PALO ALTO, Calif., June 18, 2024 D-Wave Quantum Inc. today announced the results of a new study today that reveals a majority of surveyed businesses actively using quantum computing foresee an exceptional return on investment (ROI) from their quantum optimization efforts with an expected combined potential positive financial impact to reach up to an estimated $51.5 billion.
Announced at D-Waves global Qubits 2024 user conference, these findings are detailed in a new D-Wave-commissioned report conducted by high-performance computing analyst group Hyperion Research in May and June 2024. The firm polled over 300 commercial quantum computing enterprise decision makers across the United States and select European Union countries that are exploring quantum optimization of key business processes within the next 12 to 18 months.
Significant ROI Expected From Quantum Optimization
Out of the 300 users polled, 290 reported that they each expected to make a long-term annual commitment of $3 to $6 million toward quantum optimization initiatives with anticipated estimated benefits of $60 to $65 million each resulting in an impressive ROI of 10 to 20 times the initial investment. These benefits represent an estimated $51.5 billion, and the survey includes only a small subset of the overall business community likely to adopt quantum optimization. This anticipated ROI provides a glimpse into the immense potential of quantum optimization to drive significant business improvements and value creation across industries.
Accelerating Production-Level Applications for Efficiencies, Revenue, and Innovation
The 2024 survey also reveals a significant uptick in quantum adoption planning, with 21% of survey respondents either currently using or planning to put quantum technology into production within the next 12 to 18 months. This represents a 50% increase in adoption plans over findings in Hyperion Researchs 2022 report, which D-Wave believes indicates growing recognition of quantum computings real-world business value.
Respondents view investing in quantum optimization as a promising strategy for enhancing business process efficiencies, which was named as the top benefit of quantum optimization by almost a quarter of respondents (24%), followed by increasing revenues (20%), and driving innovation (14%). These findings also emphasize the importance quantum holds for organizations looking at optimizing finance-oriented areas (17%), supply-chain management (16%) and manufacturing (14%).
Businesses Expect Practical, Performance-Driven Results
According to the survey, respondents identified performance improvements on key workloads as the most significant organizational driver for quantum computing adoption. Not only technical staff, but also senior management teams are now advocating for quantum computing adoption within their organizations, reflecting a growing enterprise-wide appetite for quantum. Whats more, users indicated they are putting their priorities on enhancing existing business processes over the building of new quantum-based applications.
The results of our 2024 survey present a recurring theme: Businesses are not merely interested in exploring the potential of quantum technologies but are now actively pursuing quantum solutions for their real-world problems, said Bob Sorensen, senior vice president of research and chief analyst for quantum computing at Hyperion Research. Theres a notable mindset shift reflected in the survey that speaks to the recognition that quantum optimization is ready to deliver substantially on those much-desired benefits.
In my view, the data is clear: quantum computing has arrived as a critical business imperative, said Dr. Alan Baratz, CEO of D-Wave. Those who proactively embrace this technology and invest in optimization efforts stand to reap significant rewards. The anticipated gains and ROI projections paint a compelling picture of a possible near-term future where quantum computing becomes a fundamental driver of business success.
About the Survey
Hyperion Research conducted the study on behalf of D-Wave to survey to better understand the challenges and opportunities experienced by commercial end users currently exploring or planning to explore the optimization of key business processes using quantum computing. The survey targeted enterprise decision-makers who are deeply involved in their companys strategic technology planning across numerous industry verticals such as software and internet, manufacturing, retail, financial services, chemicals, healthcare, insurance, telecommunications, automotive, transportation, plus oil and gas. Respondents organization headquarters covered the U.S., the U.K., Germany, France, Italy, and Spain.
Download the full survey results from Hyperion Research here.
About D-Wave Quantum Inc.
D-Wave is a leader in the development and delivery of quantum computing systems, software, and services, and is the worlds first commercial supplier of quantum computersand the only company building both annealing quantum computers and gate-model quantum computers. Our mission is to unlock the power of quantum computing today to benefit business and society. We do this by delivering customer value with practical quantum applications for problems as diverse as logistics, artificial intelligence, materials sciences, drug discovery, scheduling, cybersecurity, fault detection, and financial modeling. D-Waves technology has been used by some of the worlds most advanced organizations including Mastercard, Deloitte, Davidson Technologies, ArcelorMittal, Siemens Healthineers, Unisys, NEC Corporation, Pattison Food Group Ltd., DENSO, Lockheed Martin, Forschungszentrum Jlich, University of Southern California, and Los Alamos National Laboratory.
Source: D-Wave
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D-Wave Commissioned Survey Reveals High ROI Expectations for Quantum Computing - HPCwire
Zapata AI Publishes Novel Research in PRX Quantum on the Future Potential of Quantum Computing – GlobeNewswire
BOSTON, June 18, 2024 (GLOBE NEWSWIRE) -- Zapata Computing, Inc. (Zapata AI) (Nasdaq: ZPTA), the Industrial Generative AI company, today announced that its paper on early fault tolerant quantum algorithms has been published in PRX Quantum, a highly selective journal that publishes research with an emphasis on outstanding and lasting impact. The paper, titled Early Fault-Tolerant Quantum Computing provides a unique, quantitative perspective that bridges the theoretical ideal of fault tolerant quantum computation and the present reality of noisy, imperfect quantum computers. The team argues that the path to scalable fault tolerant quantum computers of the future will likely go through a phase called Early Fault Tolerant Quantum Computing (EFTQC).
The paper was published online on June 17th and can be accessed here.
Quantum devices today are noisy and error prone while being on the verge of error correction. Quantum computers of the (distant) future can carry out any amount of error correction needed to keep the computation running. But how we get from here to there while keeping an eye on the usefulness of the quantum devices is still not entirely mapped out, said Yudong Cao, Chief Technology Officer and co-founder of Zapata AI. This research charts a path forward beyond the current NISQ era (near-term intermediate-scale quantum) and considers how we can design algorithms that leverage the next generation of quantum devices with some degree of error correction. We believe this new class of EFTQC algorithms will bring us closer to a practical quantum advantage for industrial applications across industries.
Earlier this week, Zapata AI presented its continued leadership in quantum computing at the Qubits conference, hosted by Zapata AI hardware partner D-Wave Quantum Inc. (D-Wave) (NYSE: QBTS). In a fireside chat hosted by The Boston Globes Aaron Pressman, Cao and Chief Revenue Officer Jon Zorio shared how generative AI can be enhanced by quantum computing and quantum-inspired techniques leveraging GPUs, as well as the implications for industrial applications such as drug discovery and other use cases in industries ranging from telecom to financial services.
The published research in PRX Quantum marks the second time this year Zapata AIs innovative research was published in a prestigious academic journal. The Company also announced that its foundational research on generator-enhanced optimization (GEO) was published in the esteemed Nature Communications.
Cao concluded, Having research published in premier and highly esteemed research journals like PRX Quantum and Nature Communications demonstrates the quality of our research team, the capabilities of our platform, and the role Zapata AI will play in advancing the cutting edge at the intersection of AI and quantum in a scientifically rigorous manner. Our mission to solve the most complex problems industries face, and we will not stop until we do so.
About Zapata AI
Zapata AI is an Industrial Generative AI company, revolutionizing how enterprises solve complex operational challenges with its powerful suite of generative AI software applications and cutting-edge reference architecture. By combining numerical and text-based generative AI models and custom software applications to power industrial-scale solutions, Zapata AI enables enterprises and government entities to drive growth, cost savings through operational efficiencies, and critical operational insights. With its proprietary data science and engineering techniques, and the Orquestra platform, Zapata AI is accelerating Generative AIs impact across industries by delivering solutions which are higher performing, less costly, and more accurate and expressive than current, classical approaches to AI. The Company was founded in 2017 and is headquartered in Boston, Massachusetts.
Forward Looking Statements Certain statements made herein are not historical facts but are forward-looking statements for purposes of the safe harbor provisions under The Private Securities Litigation Reform Act of 1995. Forward-looking statements generally are accompanied by words such as believe, may, will, intend, expect, should, would, plan, predict, potential, seem, seek, future, outlook, and similar expressions that predict or indicate future events or trends or that are not statements of historical matters. These forward-looking statements include, but are not limited to, statements regarding future events and other statements that are not historical facts. These statements are based on the current expectations of Zapata AIs management and are not predictions of actual performance. These forward-looking statements are provided for illustrative purposes only and are not intended to serve as, and must not be relied on, by any investor as a guarantee, an assurance, a prediction, or a definitive statement of fact or probability. These statements are subject to a number of risks and uncertainties regarding Zapata AIs business, and actual results may differ materially. These risks and uncertainties include, but are not limited to, Zapata AIs ability to attract new customers, retain existing customers, and grow; competition in the generative AI industry; Zapata AIs ability to raise additional capital on non-dilutive terms or at all; Zapata AIs failure to maintain and enhance awareness of its brand; and the risks and uncertainties discussed in the Companys filings with the Securities and Exchange Commission (including those described in the Risk Factors section in the Companys Annual Reports on Form 10-K and Quarterly Reports on Form 10-Q).
While Zapata AI may elect to update these forward-looking statements at some point in the future, Zapata AI specifically disclaims any obligation to do so. These forward-looking statements should not be relied upon as representing Zapata AIs assessments as of any date subsequent to the date of this press release. Accordingly, undue reliance should not be placed upon the forward-looking statements.
Contacts: Media: press@zapata.ai Investors: investors@zapata.ai
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Zapata AI Publishes Novel Research in PRX Quantum on the Future Potential of Quantum Computing - GlobeNewswire
D-Wave to Deploy Second US-Based Advantage Quantum Computer at New Davidson Technologies Global … – The Quantum Insider
Insider Brief
PRESS RELEASE D-Wave Quantum Inc. (NYSE: QBTS), a leader in quantum computing systems, software, and services and the worlds first commercial supplier of quantum computers, and Davidson Technologies, Inc., a technology services company that provides innovative engineering, technical and management solutions for the U.S. Department of Defense, aerospace and commercial customers, today announced the forthcoming placement of the second US-based D-Wave Advantage quantum computer. Located at Davidson Technologies new global headquarters in Huntsville, AL, the system will eventually be housed in a secure facility developed to run sensitive applications using quantum computing technology.
Initially the Advantage system at Davidson will be accessible to all D-Wave customers located in select countries via the Leap real-time quantum cloud service. Once the secure facility is established, the system may be exclusively dedicated for sensitive application development and operations. Building on the companies existing relationship, the system placement marks an important advancement of the partnership, as D-Wave and Davidson increase efforts to accelerate quantum computing adoption and technology among government agencies, especially in the area of national security.
Davidson has a track record of embracing emerging and advanced technologies to address unique and critical national defense challenges and protect our nations interests, said Dr. Alan Baratz, CEO of D-Wave. By placing an Advantage quantum computing system onsite at Davidsons headquarters and creating a unique environment for operation, were opening up opportunities to tackle the US governments most pressing computational problems.
By housing the second US-based Advantage quantum computer at our facility in Huntsville, we will provide our government customers with unprecedented access to quantum computing technology in our facility, said Dale Moore, President of Davidson Technologies. Were honored to host a D-Wave Advantage computer and believe this will greatly advance quantums role in national security, as we support the critical mission of defending the U.S. and its allies, both at home and abroad.
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D-Wave to Deploy Second US-Based Advantage Quantum Computer at New Davidson Technologies Global ... - The Quantum Insider
Quantum Circuits Developing Quantum Software Platform With Built-in Qubit Error Detection – The Quantum Insider
Insider Brief
PRESS RELEASE Quantum Circuits, Inc., announced an integrated quantum software platform that paves the way for forthcoming hardware systems and accelerates the path to commercial-ready, fault-tolerant quantum computing with a significant industry first the ability for users to drive better performance and scale by managing qubit error detection in real-time within their algorithms.
The error-aware integrated quantum software platform is part of a noteworthy development for Quantum Circuits and the industry at large. It tackles a key obstacle, which involves detecting qubit errors to pave the way to scalable error correction and ensure consistent, trusted quantum computing results. The software builds on a more powerful quantum unit with built-in error detection, developed by Quantum Circuits, called dual-rail qubits. They are unprecedented, enabling high-powered, complex computations while helping users pinpoint and resolve errors in real time.
The companys unique superconducting architecture is predicated on dual-rail qubits, and the software suite enables users to benefit from its error detection capabilities. Available to select customers, it includes a software developers kit, cloud portal, and quantum simulator for prototyping quantum algorithms.
Quantum Circuits SDK:Enables users to write quantum applications and deploy in Quantum Circuits cloud. A Qiskit provider is also offered as a quick way to get started, translating Qiskit programs to Quantum Circuits native software language. Quantum Circuits Cloud Portal:A resource for users to access information on their deployed applications and user accounts. It provides a system to set reservations for usage, monitor system status, and view job queues. Quantum Circuits Simulator:An error-aware quantum simulator that models Quantum Circuits hardware. Developers can prototype algorithms while managing errors in real time. No other system provides direct control over managing quantum errors without changing programs or exerting rigorous effort from users. A fundamental requirement and precursor to hardware systems, the simulator pairs sophisticated Error Detection Handling (EDH) to customize management of built-in detection capabilities and advanced Real-Time Control Flow (RTCF) that leverages tight coupling between classical and quantum computing and reveals opportunities for enhanced algorithm efficiency.
We are a pragmatic company intent on delivering full-stack, fault-tolerant systems that are commercially viable, Quantum Circuits CEO Ray Smets said. Realization of trusted, consistent quantum computing hinges on error correction. Some vendors take a scale-first, correct-second approach, but they experience performance and scalability challenges. We correct first, then scale. Our dual-rail qubit with integrated error detection is an industry first. Were providing users with real-time introspection of quantum error dynamics occurring in a system.
Smets added that the integrated quantum software platform represents the first phase of commercial readiness as Quantum Circuits delivers hardware systems and additional developer support.
Weve built an architecture with error detection at the qubit level, then layered our software on top of that to write and adjust algorithms, Smets said. These are powerful programming features that havent been available before to build better algorithms. Were delivering our integrated quantum software platform ahead of our hardware offerings so customers can prepare in advance for running features. They can start exploring now. They can start exploring with us.
Building the Next Generation of Computers with Quantum Emitters and Infrared Lasers – Securities.io
The history of computers is intertwined with the history of modern technology. It all began in the 19th century, when, in 1801, a French merchant and inventor, Marie Jacquard, invented a loom with punched wooden cards to automatically weave fabric designs.
However, the most significant progress in automated computing that century occurred when English mathematician Charles Babbage devised a steam-driven calculating machine capable of computing tables of numbers. The most groundbreaking 20th-century invention came in 1936 from Alan Turing, a British scientist and mathematician, who introduced a universal machine, later named the Turing Machine. Scientists assert that the concept of modern computers is fundamentally based on Alan Turing's ideas.
Since then, it has been a chain of progress. In 1939, David Packard and Bill Hewlett founded the Hewlett Packard Company, and in 1953, Grace Hopper developed the first computer language, COBOL, followed by John Backus and his team of programmers at IBM publishing a paper describing their newly created FORTRAN programming language.
The stream of inventions enriching computing technology over the years has focused on multiple aspects. Sometimes, it has been the development of a breakthrough language or software and, other times, crucial hardware. Such inventions continue to happen, helping to build the next generation of computers, something ably futuristic,' in the truest sense of the term.
In the following segments, we will look at two such inventions that involve Quantum Emitters and Infrared Lasers.
The achievement comes from a team of researchers led by Lawrence Berkeley National Laboratory (Berkeley Lab). The researchers claim to have emerged successful in their attempt to use a femtosecond layer to create and annihilate' qubits by doping silicon with hydrogen. The researchers emphasized that they could carry out this exercise on demand and with precision.
But, to be able to realize the significance of the research to its fullest, we must know what qubits are and why they are important!
Quantum computers could prove pathbreaking in their ability to solve problems a million times faster than some of the most advanced supercomputers currently available. These machines have the potential to usher in revolutionary breakthroughs in areas such as healthcare, pharmaceuticals, and artificial intelligence. But for all these to happen, the industry would have to devise a way to string together billions of qubits or quantum bits, leading to the ultimate development of a highly efficient network of quantum computers.
The research has now shown a way to empower quantum computers by using programmable optical qubits or spin-photon qubits' that can connect quantum nodes across a remote network.
While explaining the significance of the research and the results it obtained, Kaushalya Jhuria, a postdoctoral scholar in Berkeley Lab's Accelerator Technology & Applied Physics (ATAP) Division, made the following remark:
To make a scalable quantum architecture or network, we need qubits that can reliably form on-demand, at desired locations, so that we know where the qubit is located in a material. And that's why our approach is critical. Because once we know where a specific qubit is sitting, we can determine how to connect this qubit with other components in the system and make a quantum network.
But how does the research achieve this objective? It does so by forming qubits in silicon with programmable control.
With support from DOE's Office of Science, the study used a gas environment to create programmable defects known as color centers in silicon. These color centers are candidates for spin photon qubits or special telecommunications qubits.
Quantum or qubit bit is a basic unit of quantum information. This smallest component of a quantum information system encodes data in 1, 0, or everything between them, which is known as superposition. Spin photon qubits, meanwhile, emit photons with the ability to carry information encoded in electron spin across large distances.
Now, to form these special qubits that can help support a secure quantum network precisely, the study utilized an ultrafast laser capable of emitting energy pulses in mere femtosecondseach pulse as brief as a quadrillionth of a second, targeted to an area no larger than a dust particle.
On probing the optical (photoluminescence) signals of the resulting color centers using a near-infrared detector with the purpose of characterizing them, the team found a Ci center, which is a quantum emitter. The Ci center has a simple structure and promising spin properties while being stable at room temperature, making it a pretty impressive spin photon qubit candidate that emits photons in the telecom or frequency band. According to Jhuria:
We knew from the literature that Ci can be formed in silicon, but we didn't expect to actually make this new spin photon qubit candidate with our approach.
Interestingly, increasing the femtosecond laser intensity when processing silicon in the presence of hydrogen can also increase hydrogen's mobility. This, in turn, passivates undesirable color centers while leaving the silicon lattice undamaged.
A theoretical analysis also confirmed the experiment observations that the brightness of the Ci color center can be enhanced substantially in the presence of hydrogen. As Jhuria explained, the laser pulses can not just kick out but also bring the hydrogen atoms back, allowing the programmable formation of desired optical qubits in precise locations.
Reliably making color centers is simply the beginning; now, the team wants to get different qubits to talk to each other and see which ones perform the best.
The ability to form qubits at programmable locations in a material like silicon that is available at scale is an exciting step towards practical quantum networking and computing.
Cameron Geddes, Director of the ATAP Division
The technique will next be used to incorporate optical qubits in quantum devices like waveguides as well as find new spin photon qubit candidates with properties optimized for selected applications.
The field of quantum computing has gained significant traction over the years, with researchers constantly working on finding new techniques to make it happen. Manipulating organic molecules is a field being studied for its potential application in quantum computing.
The team at TU Graz investigated how to stimulate competent molecules using infrared light pulses to create small magnetic fields. If this technique is further developed successfully in experiments, it can even be utilized in quantum computer circuits.
This is because selective manipulation of infrared light actually makes it possible to control the direction and strength of the magnetic field. Doing this converts molecules into high-precision optical switches, which can then even be used to build circuits for a quantum computer, according to Andreas Hauser from the Institute of Experimental Physics at TU Graz.
While interactions between molecular vibrations and spin magnetism are well-documented in microwave spectroscopy, this study proposes methods to actively excite molecular vibrations that generate a magnetic field at targeted locations.
When irradiated with infrared light, molecules start to vibrate due to the energy supply. Utilizing this phenomenon as the starting point, physicists started working on finding out if these vibrations could, in fact, be used to generate magnetic fields.
For their calculation, Hauser, along with his team, used metal phthalocyanines as an example. The team found that due to the high symmetry of these ring-shaped, aromatic planar dye molecules, they do generate tiny magnetic fields in the nanometre range (< 1 nm) when exposed to infrared pulses. Based on this, measuring the strength of the low but precisely localized field via nuclear magnetic resonance spectroscopy should be achievable.
Besides drawing on the work from laser spectroscopy's early days, the team also used modern electron structure theory on supercomputers to compute how macrocyclic phthalocyanine molecules act when exposed to light via circularly polarized infrared light.
The team found that circularly polarized light waves excite two molecular vibrations simultaneously at right angles to each other. Liking this to the rumba technique, Hauser explained:
The right combination of forwards-backwards and left-right creates a small, closed loop. And this circular movement of each affected atomic nucleus actually creates a magnetic field, but only very locally, with dimensions in the range of a few nanometres.
This is all just theoretical, though. The team will now work on proving that molecular magnetic fields can be generated in a controlled manner experimentally so that they can actually be utilized.
For the experiment, however, they need to identify a substrate that interacts minimally with the targeted processes since upcoming applications necessitate positioning the phthalocyanine molecule on a surface. Doing so, however, alters the physical conditions, which then impacts the excitation brought out by light and the magnetic field's characteristics.
So, before it can really be tested in experiments, the team has to first calculate the interplay between the deposited phthalocyanines, the infrared light, and the support material. If the experiment confirms the predicted changes in magnetic shielding constants, the study says, it can be seen as the first measurement of a magnetic field created vibrationally, with intramolecular resolution.
Click here to learn about Heron & Condor, the latest advancements in quantum computing.
There are several companies, such as Microsoft, Intel, and D-Wave, that are working on advancing quantum computing. IBM is a prominent name that has been focusing on quantum computing for many years now. Just recently, it partnered with Japan's National Institute of Advanced Industrial Science and Technology (AIST) to help the latter produce a quantum computer containing 10,000 qubits before this decade is over. So, amidst all this development, let's take a deeper look at some other important names in the sector:
The tech giant has been putting a lot of effort into building quantum computers for the past many years. Back in 2019, Google demonstrated for the first time that quantum computers could run an algorithm that would be impossible for a conventional supercomputer to tackle.
Last year, Google's Sycamore quantum processor was presented with 70 qubits, a leap from its previous version's 53 qubits. This makes it about 241 million times faster and more robust than the previous model. Google's new quantum computer, meanwhile, simulates the behavior of magnets in great detail and can help us gain a deeper understanding of magnetism.
In regards to quantum computing, Google uses a full stack approach, which encompasses the seamless integration of hardware and software components. The company is currently running a 3-year, $5M global competition called XPRIZE Quantum Applications to advance the field of quantum algorithms.
With a market cap of $2.2 trillion, Google shares are trading at $177.08, up 26.88% YTD. It has an EPS (TTM) of 6.52, a P/E (TTM) of 27.18, and a dividend yield of 0.45%. For Q1 2024, the company posted revenues of $80.5 billion, up 15% YoY, while its operating margin expanded to 32%.
This technology company has also begun taking some concrete steps in quantum computing. Recently, Dell introduced a hybrid classical/quantum platform developed with IonQ. It also announced a collaboration with Aramco to explore advancements in quantum computing, AI, and edge computing. Together, Aramco and Dell aim to address complex challenges in the fields of energy optimization, weather modeling, materials science, and predictive maintenance through quantum computing.
According to Dell Technologies Ireland MD Catherine Doyle, quantum computing will also help in AI advancements as it becomes intertwined in the near future.
With a market cap of $100.74 billion, Dell shares are currently trading at $144.50, up 85.66% YTD. It has an EPS (TTM) of 4.36, a P/E (TTM) of 32.55, and a dividend yield of 1.25%. For Q1 2024, the company posted $22.2 bln in revenues and $60 million in net income.
Quantum computing has been a growing area of interest for researchers, organizations, and governments. Due to its ability to offer fast speed, enhanced security, more efficiency, accurate simulation, and improved analysis, it makes sense that there has been an increased focus along with continued research and investment, which may finally see quantum computing becoming a reality and finding its application across sectors.
Click here to learn about the current state of quantum computing.
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Building the Next Generation of Computers with Quantum Emitters and Infrared Lasers - Securities.io