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NishMath - #quantumcomputing
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@quantumcomputingreport.com
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The rapid advancement of quantum computing poses a significant threat to current encryption methods, particularly RSA, which secures much of today's internet communication. Google's recent breakthroughs have redefined the landscape of cryptographic security, with researchers like Craig Gidney significantly lowering the estimated quantum resources needed to break RSA-2048. A new study indicates that RSA-2048 could be cracked in under a week using fewer than 1 million noisy qubits, a dramatic reduction from previous estimates of around 20 million qubits and eight hours of computation. This shift accelerates the timeline for "Q-Day," the hypothetical moment when quantum computers can break modern encryption, impacting everything from email to financial transactions.
This vulnerability stems from the ability of quantum computers to utilize Shor's algorithm for factoring large numbers, a task prohibitively difficult for classical computers. Google's innovation involves several technical advancements, including approximate residue arithmetic, magic state cultivation, optimized period finding with Ekerå-Håstad algorithms, and yoked surface codes with sparse lookups. These improvements streamline modular arithmetic, reduce the depth of quantum circuits, and minimize overhead in fault-tolerant quantum circuits, collectively reducing the physical qubit requirement to under 1 million while maintaining a relatively short computation time. In response to this threat, post-quantum cryptography (PQC) is gaining momentum. PQC refers to cryptographic algorithms designed to be secure against both classical and quantum attacks. NIST has already announced the first set of quantum-safe algorithms for standardization, including FrodoKEM, a key encapsulation protocol offering a simple design and strong security guarantees. The urgency of transitioning to quantum-resistant cryptographic systems is underscored by ongoing advances in quantum computing. While the digital world relies on encryption, the evolution to AI and quantum computing is challenging the security. Professionals who understand both cybersecurity and artificial intelligence will be the leaders in adapting to these challenges. Recommended read:
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@www.microsoft.com
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Microsoft is taking a proactive approach to future cybersecurity threats by integrating post-quantum cryptography (PQC) into its Windows and Linux systems. This move is designed to protect against the potential for quantum computers to break current encryption methods like RSA, which secure online communications, banking transactions, and sensitive data. Quantum computers, leveraging quantum mechanics, can solve complex problems far faster than classical computers, posing a significant threat to existing cryptographic schemes. Microsoft's initiative aims to safeguard data from a "harvest now, decrypt later" scenario, where hackers steal encrypted data today with the intent of decrypting it once quantum technology becomes advanced enough.
Microsoft's PQC implementation includes the addition of two key algorithms: ML-KEM (Module Lattice-Based Key Encapsulation Mechanism) and ML-DSA (Module Lattice-Based Digital Signature Algorithm). ML-KEM, also known as CRYSTALS-Kyber, secures key exchanges and prevents attacks by protecting the start of secure connections. ML-DSA, formerly CRYSTALS-Dilithium, ensures data integrity and authenticity through digital signatures. These algorithms are being introduced in Windows Insider builds (Canary Build 27852+) and Linux via SymCrypt-OpenSSL v1.9.0, allowing developers and organizations to begin testing and preparing for a quantum-secure future. This update to Windows 11 is a critical step in what Microsoft views as a major technological transition. By making quantum-resistant algorithms available through SymCrypt, the core cryptographic code library in Windows, and updating SymCrypt-OpenSSL, Microsoft is enabling the widely used OpenSSL library to leverage SymCrypt for cryptographic operations. The new algorithms, selected by the National Institute of Standards and Technology (NIST), represent a move towards replacing vulnerable cryptosystems like RSA and elliptic curves. This signifies a broader effort to bolster cybersecurity against the emerging threat of quantum computing. Recommended read:
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@blogs.nvidia.com
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Recent advancements in quantum computing include the launch of new supercomputers and the development of open-source frameworks. NVIDIA and AIST have collaborated to launch ABCI-Q, a supercomputing system designed for hybrid quantum-AI research. This system, powered by NVIDIA H100 GPUs and utilizing NVIDIA’s Quantum-2 InfiniBand platform, is hosted at the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT). ABCI-Q supports hybrid workloads by integrating GPU-based simulation with physical quantum processors from Fujitsu, QuEra, and OptQC, aiming to advance quantum error correction and algorithm development. It serves as a testbed for quantum-GPU workflows across various hardware modalities.
Quantum Machines has introduced QUAlibrate, an open-source calibration framework designed to significantly reduce the time required for quantum computer calibration. Calibration, a major hurdle in quantum system performance and scalability, can now be reduced from hours to minutes. QUAlibrate enables the creation, execution, and sharing of modular calibration protocols, allowing researchers to calibrate multi-qubit superconducting systems rapidly. At the Israeli Quantum Computing Center, full multi-qubit calibration was achieved in just 140 seconds using QUAlibrate. The framework is built on the QUA programming language and uses the Quantum Abstract Machine (QUAM) to model quantum hardware, featuring a graph-based calibration approach. These advancements are supported by strategic collaborations and investments in quantum technologies. SilQ Connect, a startup focusing on distributed quantum computing, has secured pre-seed funding to advance modular quantum interconnects. This funding from QV Studio, Quantacet, and Quantonation will support the development of microwave-optical quantum interconnects for scalable quantum systems. Additionally, Taiwan's National Center for High-Performance Computing is deploying a new NVIDIA-powered AI supercomputer to support research in climate science, quantum research, and the development of large language models. This initiative aims to foster cross-domain collaboration and global AI leadership. Recommended read:
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@medium.com
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References:
medium.com
, Peter Bendor-Samuel
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Quantum computing is rapidly advancing, bringing both immense potential and significant cybersecurity risks. The UK’s National Cyber Security Centre (NCSC) and experts across the globe are warning of a "colossal" overhaul needed in digital defenses to prepare for the quantum era. The concern is that powerful quantum computers could render current encryption methods obsolete, breaking security protocols that protect financial transactions, medical records, military communications, and blockchain technology. This urgency is underscored by the threat of "harvest now, decrypt later" attacks, where sensitive data is collected and stored for future decryption once quantum computers become powerful enough.
Across the globe, governments and organizations are scrambling to prepare for a quantum future by adopting post-quantum cryptography (PQC). PQC involves creating new encryption algorithms resistant to attacks from both classical and quantum computers. The U.S. National Institute of Standards and Technology (NIST) has already released several algorithms believed to be secure from quantum hacking. The NCSC has issued guidance, setting clear timelines for the UK’s migration to PQC, advising organizations to complete the transition by 2035. Industry leaders are also urging the U.S. Congress to reauthorize and expand the National Quantum Initiative to support research, workforce development, and a resilient supply chain. Oxford Ionics is one of the companies leading the way in quantum computing development. Oxford has released a multi-phase roadmap focused on achieving scalability and fault tolerance in their trapped-ion quantum computing platform. Their strategy includes the 'Foundation' phase, which involves deploying QPUs with 16-64 qubits with 99.99% fidelity, already operational. The second phase introduces chips with 256+ qubits and error rates as low as 10-8 via quantum error correction (QEC). The goal is to scale to over 10,000 physical qubits per chip, supporting 700+ logical qubits with minimal infrastructure change. There are also multiple bills introduced in the U.S. Congress and the state of Texas to foster the advancement of quantum technology. Recommended read:
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Siôn Geschwindt@The Next Web
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The Next Web
, medium.com
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Quantum computing is rapidly advancing, presenting both opportunities and challenges. Researchers at Toshiba Europe have achieved a significant milestone by transmitting quantum-encrypted messages over a record distance of 254km using standard fiber optic cables. This breakthrough, facilitated by quantum key distribution (QKD) cryptography, marks the first instance of coherent quantum communication via existing telecom infrastructure. QKD leverages the principles of quantum mechanics to securely share encryption keys, making eavesdropping virtually impossible, as any attempt to intercept the message would immediately alert both parties involved.
This advance addresses growing concerns among European IT professionals, with 67% fearing that quantum computing could compromise current encryption standards. Unlike classical computers, which would take an impractical amount of time to break modern encryption, quantum computers can exploit phenomena like superposition and entanglement to potentially crack even the most secure classical encryptions within minutes. This has prompted global governments and organizations to accelerate the development of robust cryptographic algorithms capable of withstanding quantum attacks. Efforts are underway to build quantum-secure communication infrastructure. Heriot-Watt University recently inaugurated a £2.5 million Optical Ground Station (HOGS) to promote satellite-based quantum-secure communication. In July 2024, Toshiba Europe, GÉANT, PSNC, and Anglia Ruskin University demonstrated cryogenics-free QKD over a 254 km fiber link, using standard telecom racks and room temperature detectors. Initiatives such as Europe’s EuroQCI and ESA’s Eagle-1 satellite further underscore the commitment to developing and deploying quantum-resistant technologies, mitigating the silent threat that quantum computing poses to cybersecurity. Recommended read:
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@www.aiwire.net
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References:
AIwire
, www.aiwire.net
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The Quantum Economic Development Consortium (QED-C) has released a report detailing the potential synergies between Quantum Computing (QC) and Artificial Intelligence (AI). The report, based on a workshop, highlights how these two technologies can work together to solve problems currently beyond the reach of classical computing. AI could be used to accelerate circuit design, application development, and error correction in QC. Conversely, QC offers the potential to enhance AI models by efficiently solving complex optimization and probabilistic tasks, which are infeasible for classical systems.
A hybrid approach, integrating the strengths of classical AI methods with QC algorithms, is expected to substantially reduce algorithmic complexity and improve the efficiency of computational processes and resource allocation. The report identifies key areas where this integration can yield significant benefits, including chemistry, materials science, logistics, energy, and environmental modeling. The applications could range from predicting high-impact weather events to improving the modeling of chemical reactions for pharmaceutical advancements. The report also acknowledges the necessity of cross-industry collaboration, expanded academic research, and increased federal support to advance QC + AI development. Celia Merzbacher, Executive Director of QED-C, emphasized the importance of collaboration between industry, academia, and governments to maximize the potential of these technologies. A House Science Committee hearing is scheduled to assess the progress of the National Quantum Initiative, underscoring the growing importance of quantum technologies in the U.S. Recommended read:
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@www.microsoft.com
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Microsoft is making significant strides in enhancing digital security and technological advancement on multiple fronts. The company is actively pushing passkeys as a simpler and safer alternative to traditional passwords. Marking the shift, Microsoft joined the FIDO Alliance in celebrating the first "World Passkey Day," and has pledged to increase the adoption of passkeys, which offer a phishing-resistant authentication method utilizing face, fingerprint, or PIN. This initiative aims to combat the rising tide of password-based cyberattacks, which have surged to an alarming 7,000 attacks per second. Microsoft introduced Windows Hello as a way to sign into accounts without a password and this laid the ground work for an entirely new era of authentication.
Microsoft Vice Chair and President Brad Smith is also urging the United States and its allies to intensify their efforts in quantum computing. Smith emphasizes the increasing competition from countries like China and highlights the importance of bolstering investment, workforce development, and supply chain security to maintain U.S. technological leadership. Quantum computing promises transformative advancements in fields like medicine, energy, and national security. In addition to its quantum efforts, Microsoft has announced new European digital commitments, recognizing the importance of trans-Atlantic ties for economic growth. These commitments include datacenter operations in 16 countries and a Digital Resilience Commitment, reflecting the company's deep economic reliance on Europe. Recommended read:
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@quantumcomputingreport.com
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, The Next Web
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Poland is gearing up to enter the quantum computing arena with its first full-stack quantum computer, "Spark," slated for installation at the Wrocław University of Science and Technology (WUST). This initiative, spearheaded by Helsinki-based IQM, a leading European quantum hardware company, marks a significant advancement in Poland's technological landscape. Spark, a superconducting quantum computer, operates at ultra-low temperatures near absolute zero, leveraging superconducting circuits to manipulate quantum bits, or qubits. Professor Wojciech Bożejko, head of WUST’s faculty of ICT, emphasizes the importance of this milestone, noting that it is the first quantum computer in Poland and Eastern Europe to utilize low-temperature superconducting qubit technology.
This quantum computer, though equipped with only 5 qubits, making it less powerful than classical computers for most tasks, is strategically important for research and education. It will provide WUST students direct access to a real quantum computer for practical programming, allowing them to familiarize themselves with quantum mechanics and prepare for the era of quantum utility. Quantum utility refers to the point at which quantum computers can outperform classical computers in solving specific, real-world problems. WUST researchers will use Spark for computer science research, including doctoral candidates and members of the university's quantum computing club. IQM's broader strategy involves strengthening its presence in Central and Eastern Europe, building on the establishment of its Warsaw office in 2024. The company is committed to leading the region's quantum technology ecosystem through strategic partnerships, talent development, and localized solutions. The Spark system will be inaugurated at the Wrocław Centre for Networking and Supercomputing, coinciding with the center's 30th anniversary, accelerating research in computer science and enhancing student access to hands-on quantum programming. This deployment not only positions Poland as a new entrant in the global quantum computing landscape, but also underlines the nation's ambition to become a leader in next-generation computing technologies. Recommended read:
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@thequantuminsider.com
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Project Eleven has launched the QDay Prize, an open competition offering one Bitcoin, currently valued around $84,000 to $85,000, to anyone who can break elliptic curve cryptography (ECC) using Shor’s algorithm on a quantum computer. This initiative aims to evaluate the proximity of quantum computing to undermining ECC, a widely used encryption scheme. Participants must demonstrate the ability to break ECC using Shor's algorithm, without classical shortcuts or hybrid methods and submissions must include gate-level code and system specifications, all made publicly available for transparency.
The competition is structured around progressively larger ECC key sizes, starting from 1-bit keys, with an emphasis on demonstrating generalizable techniques that can scale to full cryptographic key lengths. The challenge, running until April 5, 2026, seeks to rigorously benchmark the real-world quantum threat to Bitcoin’s core security system. Project Eleven emphasizes that even successful attacks on small keys would be significant milestones, offering valuable insights into the security risks in modern cryptographic systems. Participants can use publicly accessible quantum hardware or private systems, and are expected to handle error-prone qubit environments realistically, given current hardware fidelities. Breaking even a few bits of a private key would be considered a significant achievement, according to Project Eleven. The QDay Prize hopes to establish a verifiable and open marker of when practical quantum attacks against widely used encryption systems may emerge, highlighting the urgency of understanding how close current technologies are to threatening ECC security. Recommended read:
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Siôn Geschwindt@The Next Web
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Quantum computing is rapidly advancing, and its potential impact on encryption security is becoming a major concern. Classical encryption methods, such as RSA and Elliptic Curve Cryptography (ECC), rely on mathematical problems that are difficult for traditional computers to solve. However, quantum algorithms, particularly Shor’s algorithm, threaten to break these systems. Shor's algorithm can efficiently factor large integers, which is the foundation of RSA, and solve the elliptic curve discrete logarithm problem (ECDLP), which underpins ECC. Project Eleven has even launched the Q-Day Prize, offering 1 Bitcoin to anyone who can crack a Bitcoin private key using Shor’s algorithm on a quantum computer, underscoring the urgency of addressing this threat.
The vulnerability of current cryptographic methods has spurred research into post-quantum cryptography (PQC). PQC focuses on developing encryption algorithms that are resistant to attacks from both classical and quantum computers. The National Institute of Standards and Technology (NIST) has already published its first set of post-quantum standards in August 2024, including algorithms like ML-KEM (Kyber) for key encapsulation and ML-DSA (Dilithium) for digital signatures. These standards are intended to be integrated into software and systems over the coming years, with the NSA’s Commercial National Security Algorithm Suite (CNSA 2.0) mandating their use in certain applications by 2030. While commercially viable quantum computers capable of breaking current encryption are still under development, the pace of progress is accelerating. IBM and Google are among the companies racing to build larger and more powerful quantum processors. Experts estimate that a quantum computer with around 20 million physical qubits (approximately 6,000 logical qubits) could factor a 2048-bit RSA modulus in a matter of hours. This has led to a "harvest-now, decrypt-later" strategy, where adversaries collect encrypted data with the intention of decrypting it once quantum computers become powerful enough. The transition to quantum-resistant cryptography is now considered an engineering problem, requiring careful planning and implementation across various systems and infrastructures. Recommended read:
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The Google@The Official Google Blog
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Quantum computing is rapidly advancing, moving beyond a futuristic dream to become a tangible force in solving real-world problems. Experts predict that quantum utility, the point at which quantum computers offer practical advantages over classical computers, is at most 10 years away. This progress is fueled by the potential of quantum computers to optimize finance, discover new drugs, secure networks, and even build better batteries. The industry overwhelmingly agrees that this moment is fast approaching, with some anticipating it could arrive within the next one to five years.
The US military is taking a proactive approach by launching an initiative spearheaded by the Defense Advanced Research Projects Agency (DARPA) to identify the most promising quantum computer technologies. DARPA aims to discern which of the numerous quantum computers currently under development have the greatest potential to revolutionize American industries and the broader economy. This initiative underscores the strategic importance of quantum computing and the desire to be at the forefront of its development and application. However, challenges remain in achieving widespread quantum utility. Misconceptions about quantum computing are hindering advancement, highlighting the need for improved public and business education. Overcoming technical hurdles, particularly error correction, and acquiring sufficient talent are also key concerns. Despite these challenges, the collective progress and the focused efforts of both industry and government suggest that quantum computing is poised to make a significant impact in the near future. Recommended read:
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@phys.org
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phys.org
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A research team of statisticians from Cornell University has developed a novel data representation method inspired by quantum mechanics. This innovative approach aims to address the growing challenges posed by big, noisy data, which often overwhelms traditional data analysis techniques. The method works by simplifying large data sets and effectively filtering out noise, leading to more efficient data handling.
This breakthrough leverages the mathematical structures of quantum mechanics to better understand the underlying structure of complex data. According to Martin Wells, a professor of Statistical Sciences at Cornell, physicists have developed quantum mechanics-based tools that offer concise mathematical representations of complex data and the team is borrowing from these tools to understand the structure of data. Unlike conventional intrinsic dimension estimation techniques, which can be easily disrupted by noise and complexity, this quantum-inspired approach is more robust and accurate. The potential applications of this method are vast, particularly in data-rich fields like healthcare and epigenetics, where traditional methods have struggled. While quantum computing promises unprecedented speed, some experts debate its true potential, with efforts focused on "dequantizing" quantum algorithms to achieve comparable speeds using classical counterparts. This new data representation method offers a practical and accessible way to harness the principles of quantum mechanics on classical computers, potentially unlocking new insights from previously intractable data sets. Recommended read:
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@www.quantamagazine.org
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Quantum computing faces the challenge of demonstrating a consistent advantage over classical computing. Ewin Tang's work on "dequantizing" quantum algorithms has questioned the assumption that quantum computers can always outperform classical ones. Tang designed classical algorithms to match the speed of quantum algorithms in solving certain problems, initiating an approach where researchers seek classical counterparts to quantum computations. This raises fundamental questions about the true potential and future trajectory of quantum computing, especially considering the resources required.
The discussion extends to the costs associated with quantum randomness, exploring pseudorandomness as a practical alternative. Researchers at the University of the Witwatersrand have found a method to shield quantum information from environmental disruptions, which could lead to more stable quantum computers and networks. Despite the potential of quantum computing to revolutionize fields like science, pharmaceuticals, and healthcare, limitations in energy demands and computing power suggest that it will likely be applied selectively to areas where it offers the most significant advantage, rather than replacing classical computing across all applications. Recommended read:
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@sciencedaily.com
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Recent advancements in quantum computing research have yielded promising results. Researchers at the University of the Witwatersrand in Johannesburg, along with collaborators from Huzhou University in China, have discovered a method to shield quantum information from environmental disruptions, potentially leading to more reliable quantum technologies. This breakthrough involves manipulating quantum wave functions to preserve quantum information, which could enhance medical imaging, improve AI diagnostics, and strengthen data security by providing ultra-secure communication.
UK startup Phasecraft has announced a new algorithm, THRIFT, that improves the ability of quantum computers to model new materials and chemicals by a factor of 10. By optimizing quantum simulation, THRIFT enables scientists to model new materials and chemicals faster and more accurately, even on today’s slower machines. Furthermore, Oxford researchers have demonstrated a 25-nanosecond controlled-Z gate with 99.8% fidelity, combining high speed and accuracy in a simplified superconducting circuit. This achievement advances fault-tolerant quantum computing by improving raw gate performance without relying heavily on error correction or added hardware. Recommended read:
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Stephen Ornes@Quanta Magazine
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References:
Quanta Magazine
, medium.com
A novel quantum algorithm has demonstrated a speedup over classical computers for a significant class of optimization problems, according to a recent report. This breakthrough could represent a major advancement in harnessing the potential of quantum computers, which have long promised faster solutions to complex computational challenges. The new algorithm, known as decoded quantum interferometry (DQI), outperforms all known classical algorithms in finding good solutions to a wide range of optimization problems, which involve searching for the best possible solution from a vast number of choices.
Classical researchers have been struggling to keep up with this quantum advancement. Reports of quantum algorithms often spark excitement, partly because they can offer new perspectives on difficult problems. The DQI algorithm is considered a "breakthrough in quantum algorithms" by Gil Kalai, a mathematician at Reichman University. While quantum computers have generated considerable buzz, it has been challenging to identify specific problems where they can significantly outperform classical machines. This new algorithm demonstrates the potential for quantum computers to excel in optimization tasks, a development that could have broad implications across various fields. Recommended read:
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Yvonne Smit@Qusoft
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References:
Qusoft
Koen Groenland's book, "Introduction to Quantum Computing for Business," is gaining attention as a key resource for guiding companies on leveraging quantum advancements. As the Dutch quantum ecosystem expands, experts like Groenland are playing a vital role in making quantum knowledge accessible to the business world. The book aims to demystify this technology for business professionals without a technical background, focusing on the capabilities and applications of quantum computers rather than the underlying technical details. Groenland hopes the book will become a standard work for anyone starting a quantum journey, emphasizing the importance of understanding quantum algorithms for business value.
Classiq Technologies, in collaboration with Sumitomo Corporation and Mizuho-DL Financial Technology, achieved significant compression of quantum circuits for Monte Carlo simulations used in financial risk analysis. The study compared traditional and pseudo-random number-based quantum Monte Carlo methods, optimizing circuit depth and qubit usage using Classiq’s high-level quantum design platform, Qmod. The results showed efficient circuit compression is possible without compromising accuracy, supporting the feasibility of scalable, noise-tolerant quantum applications in financial risk management. The Open Source Initiative (OSI) and Apereo Foundation have jointly responded to the White House Office of Science & Technology Policy's (OSTP) request for information on an AI Action Plan. Their comment emphasizes the benefits of Open Source and positions the Open Source community as a valuable resource for policymakers. The OSI highlighted its history of stewarding the Open Source Definition and its recent work in co-developing the Open Source AI Definition (OSAID), recommending that the White House rely on the OSAID as a foundational piece of any future AI Action Plan. Recommended read:
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staff@insidehpc.com
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Nvidia CEO Jensen Huang has publicly walked back previous comments made in January, where he expressed skepticism regarding the timeline for quantum computers becoming practically useful. Huang apologized for his earlier statements, which caused a drop in stock prices for quantum computing companies. During the recent Nvidia GTC 2025 conference in San Jose, Huang admitted his misjudgment and highlighted ongoing advancements in the field, attributing his initial doubts to his background in traditional computer systems development. He expressed surprise that his comments had such a significant impact on the market, joking about the public listing of quantum computing firms.
SEEQC and Nvidia announced a significant breakthrough at the conference, demonstrating a fully digital quantum-classical interface protocol between a Quantum Processing Unit (QPU) and a Graphics Processing Unit (GPU). This interface is designed to facilitate ultra-low latency and bandwidth-efficient quantum error correction. Furthermore, Nvidia is enhancing its support for quantum research with the CUDA-Q platform, designed to streamline the development of hybrid, accelerated quantum supercomputers. CUDA-Q performance can now be pushed further than ever with v0.10 support for the NVIDIA GB200 NVL72. Recommended read:
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Matt Swayne@thequantuminsider.com
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D-Wave Quantum Inc. has made a splash by claiming its Advantage2 annealing quantum computer achieved quantum supremacy in complex materials simulations, publishing their study in the journal Science. The company states that its system can perform simulations in minutes that would take the Frontier supercomputer nearly a million years and consume more than the world’s annual electricity consumption. According to D-Wave CEO Alan Baratz, this achievement validates quantum annealing's practical advantage and represents a major milestone in quantum computational supremacy and materials discovery.
However, D-Wave's claim has faced criticism, with researchers suggesting that classical algorithms can rival or even exceed quantum methods in these simulations. Some researchers say that they performed similar calculations on a normal laptop in just two hours. Concerns have been raised about the real-world applicability and practical benefits of D-Wave's quantum supremacy claims in computational tasks. Despite the criticisms, D-Wave is standing by the claims from the study. Recommended read:
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@Scientific American
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D-Wave, a quantum computing firm, has asserted that its quantum computers have achieved quantum supremacy by solving a problem of scientific relevance faster than classical computers. Specifically, D-Wave Quantum Inc. claims that its annealing quantum computer outperformed the Frontier supercomputer in simulating complex magnetic materials, a feat published in the journal Science. The company stated that its system completed simulations in minutes that would take Frontier nearly a million years and consume more than the world's annual electricity consumption. The results, according to D-Wave executives, validate the practical advantage of quantum annealing and represent a significant milestone in quantum computational supremacy and materials discovery.
However, the company's claims have been met with scrutiny. Some researchers argue that classical algorithms can still rival or exceed quantum methods in certain cases. For instance, researchers at the Flatiron Institute and EPFL have suggested that classical algorithms, including belief propagation and time-dependent variational Monte Carlo methods, can match or even surpass D-Wave's results in specific scenarios. D-Wave's CEO, Alan Baratz, has responded to these criticisms, arguing that the competing studies tested only a subset of the problems addressed in D-Wave's work and that their simulations covered a broader range of lattice geometries and conditions. Recommended read:
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Cierra Choucair@thequantuminsider.com
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NVIDIA is establishing the Accelerated Quantum Research Center (NVAQC) in Boston to integrate quantum hardware with AI supercomputers. The aim of the NVAQC is to enable accelerated quantum supercomputing, addressing quantum computing challenges such as qubit noise and error correction. Commercial and academic partners will work with NVIDIA, with collaborations involving industry leaders like Quantinuum, Quantum Machines, and QuEra, as well as researchers from Harvard's HQI and MIT's EQuS.
NVIDIA's GB200 NVL72 systems and the CUDA-Q platform will power research on quantum simulations, hybrid quantum algorithms, and AI-driven quantum applications. The center will support the broader quantum ecosystem, accelerating the transition from experimental to practical quantum computing. Despite the CEO's recent statement that practical quantum systems are likely still 20 years away, this investment shows confidence in the long-term potential of the technology. Recommended read:
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Dean Takahashi@AI News | VentureBeat
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Recent breakthroughs are accelerating the progress in quantum computing. Researchers have experimentally recreated a fundamental theoretical model from quantum physics using nanographene molecules, paving the way for versatile research in quantum technologies. In another development, Irish startup Equal1 has unveiled the world's first silicon-based quantum computer, named Bell-1, which utilizes a hybrid quantum-classical silicon chip for accelerated quantum computing.
Meanwhile, Nvidia is constructing an accelerated quantum computing research center in Boston to integrate quantum hardware with AI supercomputers, aiming to tackle challenges like qubit noise and transform experimental processors into practical devices. Delft Circuits has also launched a turnkey High-Density Input/Output (HD I/O) system to address scalability bottlenecks in quantum computing connectivity. This system boasts 256 channels per module and modular expandability, offering a streamlined solution for connecting control electronics to Quantum Processing Units. Recommended read:
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