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NishMath - #quantumcomputing
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@phys.org
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phys.org
, The Quantum Insider
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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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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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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@The Quantum Insider
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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@The Quantum Insider
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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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Harry Goldstein@IEEE Spectrum
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The Quantum Insider
, The Quantum Insider
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The quantum computing field is experiencing a surge in activity, with several significant developments reported recently. VTT Technical Research Centre of Finland and IQM Quantum Computers have unveiled Europe's first 50-qubit superconducting quantum computer, accessible to researchers and companies through the VTT QX quantum computing service. This milestone strengthens Finland's position as a global leader in quantum computing, following a phased development plan that began with a 5-qubit system in 2021.
Chinese researchers have also made headlines with their Zuchongzhi 3.0, a 105-qubit superconducting quantum processor. They claim it completed a computational task in seconds that would take the world’s most powerful supercomputer an estimated 6.4 billion years to replicate. While the task was a benchmark designed to favor quantum processors, it still reinforces the potential for quantum computational advantage. Also, Mitsubishi Electric and partners are collaborating to develop scalable quantum information processing by connecting multiple quantum devices in practical environments, addressing limitations in single quantum computers. Recommended read:
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Siôn Geschwindt@The Next Web
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Dutch quantum hardware company QuantWare B.V. has secured €20 million in a Series A funding round to scale its quantum processors for next-generation computing. The round was co-led by Invest-NL Deep Tech Fund and Innovation Quarter, with participation from EIC Fund and existing investors. QuantWare develops VIO, a technology that allows its customers to build larger single-chip quantum processing units, which are less prone to interference.
QuantWare's VIO technology aims to solve scaling bottlenecks that limit the size of QPUs today, allowing users to scale any qubit design and unlocking the fastest path towards quantum computers with more than 1 million qubits in a single processor. The funding will be used to further develop VIO, expand chip fabrication facilities, and roll out QuantWare’s Contralto-A QPU, designed for quantum error correction. QuantWare's CEO, Matthijs Rijlaarsdam, stated that their mission is to make VIO the scaling standard and power the first million-qubit quantum computers of the hyperscalers of tomorrow. Recommended read:
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Edd Gent@IEEE Spectrum
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IEEE Spectrum
The future of quantum computing is trending towards modularity, as companies and researchers seek to overcome the limitations of squeezing more qubits onto a single chip. Fabrication and connectivity challenges have prompted a shift toward linking multiple quantum devices to create larger, more powerful computers capable of tackling real-world problems. The focus is on developing technologies that enable the interconnection of quantum processors, as single computers face limited processing capacity and potential service disruptions.
One approach to modular quantum computing involves quantum communication networks (QCNs), which leverage quantum mechanics to transmit quantum information. QCNs promise to link quantum computers and quantum sensors, enabling distributed quantum computing and sensing. Distributed quantum computing harnesses the capabilities of individual quantum computers distributed across different locations to collectively perform quantum computations. Mitsubishi Electric and partners have also signed a joint research agreement to develop scalable quantum information processing by connecting multiple quantum devices in practical environments. VTT Technical Research Centre of Finland and IQM Quantum Computers have launched Europe’s first 50-qubit superconducting quantum computer, now open to researchers and companies. QuantWare, a startup from the Netherlands, claims to have created a 3D chip architecture that offers the fastest route to a 1-million qubit quantum computer. PsiQuantum claims to have solved scalability issues that have long plagued photonic approaches. Delft-based Q*Bird and Eurofiber secure €1M grant to advance quantum-secured communication, this initiative is part of the QUEST project. QuantWare raises €20M to scale quantum processors for next-gen computing. Recommended read:
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OODA OG@OODAloop
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Amazon Web Services (AWS) has announced Ocelot, its first quantum computing chip, entering the competitive race against other tech giants like Google and Microsoft. The chip, developed by the AWS Center for Quantum Computing at the California Institute of Technology, represents the first generation of hardware that implements superior error correction. Amazon says it is a proof-of-principle demonstration—a step on the path to creating a larger machine that can deliver on the industry’s promised killer applications, such as fast and accurate simulations of new battery materials.
This new processor, dubbed Ocelot, aims to reduce the costs of implementing quantum error correction by up to 90% compared to current methods. It consists of nine qubits, five of which are "cat qubits" used to store information, and four transmons which monitor the information in the cat qubits. AWS researchers used Ocelot to encode a single error-corrected bit of information in its nine qubits, showing promise in overcoming the barrier that has made scaling up the technology difficult. Oskar Painter, the head of quantum hardware at AWS, said the design strategy requires only a 10th as many qubits per bit of information. Recommended read:
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@thequantuminsider.com
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thequantuminsider.com
, The Quantum Insider
Infleqtion has announced the successful demonstration of a 16x16 neutral atom array, the largest of its kind reported in the UK. This achievement is a key milestone in the Scalable Quantum Atomic Lattice computing tEstbed (SQALE) project. The SQALE project is focused on advancing neutral atom quantum computing by refining atomic reconfiguration, state preparation and measurement, and local and global gate operations.
This milestone supports the UK’s goal of developing a 100+ qubit quantum computing system by 2025 through scalable atom trapping and advanced gate laser systems. This accomplishment, achieved in collaboration with the NQCC’s testbeds initiative, is a crucial step toward building scalable quantum processors capable of supporting fault-tolerant quantum computing, enabling real-world applications in optimisation, materials science and AI. Infleqtion is working with partners including Riverlane, QinetiQ, and the Oxfordshire City Council to refine quantum gate fidelity, scale neutral atom architectures, and benchmark performance for real-world applications. Recommended read:
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Alyssa Hughes (2ADAPTIVE LLC dba 2A Consulting)@Microsoft Research
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Microsoft has announced a potential breakthrough in quantum computing with its creation of topological qubits and the unveiling of the Majorana 1 quantum processor. This development aims to redefine quantum computing by utilizing a new state of matter called "topological superconductivity." According to Microsoft, this achievement marks a significant step towards realizing the full potential of quantum computers, with Dr. Chetan Nayak highlighting the advancements and the necessity of quantum computers even amidst the rise of generative AI.
The Majorana 1 processor is designed to potentially house up to a million qubits, which could enable it to tackle complex tasks such as cracking cryptographic codes and accelerating the discovery of new drugs and materials. However, despite the promising claims, the quantum community remains somewhat skeptical. While Microsoft has published research, including a paper in Nature and a roadmap, independent confirmation of the hardware's capabilities is still pending. The peer-reviewed paper only partially supports the claims, and significant hurdles remain before these quantum computers can be fully realized. Concerns have been raised regarding the validity and interpretation of Microsoft's experiments. The Conversation features an article from Stephan Rachel, a professor of Physics, who discussed the breakthrough. Despite the questions, the news from Microsoft is regarded as hopeful. Microsoft has been developing this new state of matter for nearly two decades. Recommended read:
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staff@insidehpc.com
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insidehpc.com
, OODAloop
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Quantum Machines, an Israeli quantum computing startup, has successfully raised $170 million in a Series C funding round. This latest investment brings the company's total funding to $280 million to date. The funding round was led by PSG Equity, with participation from Intel Capital, Red Dot Capital Partners, and existing investors. Quantum Machines is a provider of quantum control solutions, and its technology is increasingly relied upon by quantum computing companies to build and scale their systems.
This Series C raise is considered the fifth-largest ever for a quantum computing company, highlighting the growing excitement surrounding advancements in quantum computing. According to Quantum Machines co-founder and Chief Executive Itamar Sivan, investors recognize the potential of a new computing paradigm to drive industry and the economy. Quantum Machines plans to use the new capital to further develop its quantum computing systems and expand its market reach in a time where many companies are surpassing 1,000 qubits, and researchers are making progress in quantum error correction. Recommended read:
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@Talkback Resources
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Google Cloud has launched quantum-safe digital signatures within its Cloud Key Management Service (Cloud KMS), now available in preview. This cybersecurity enhancement prepares users against future quantum threats by aligning with the National Institute of Standards and Technology’s (NIST) post-quantum cryptography (PQC) standards. The upgrade provides developers with the necessary tools to protect encryption.
Google's implementation integrates NIST-standardized algorithms FIPS 204 and FIPS 205, enabling signing and validation processes resilient to attacks from quantum computers. By incorporating these protocols into Cloud KMS, Google enables enterprises to future-proof authentication workflows, which is particularly important for systems requiring long-term security, such as critical infrastructure firmware or software update chains. This allows organizations to manage quantum-safe keys alongside classical ones, facilitating a phased migration. Recommended read:
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@ncatlab.org
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nLab
Microsoft has announced a significant breakthrough in quantum computing with its new Majorana 1 chip. This groundbreaking processor is built upon a novel "Topological Core" architecture and boasts a theoretical capacity of up to one million qubits. The chip leverages a new material called topoconductor, the world’s first topological conductor, which harnesses topological superconductivity to control Majorana particles. This innovative approach promises more stable and reliable qubits, the fundamental building blocks of quantum computers. Microsoft also claims the chip could potentially break down microplastics into harmless byproducts or create self-healing materials for applications in construction, manufacturing, and healthcare.
Microsoft's Majorana 1 chip represents a paradigm shift in quantum computing technology, a development with far-reaching implications for industries and cybersecurity. By using topological qubits, Majorana 1 is designed to be inherently more stable and less prone to errors than current qubit technologies. While Microsoft touts this development as progress and hopes quantum computing will be used to benefit humanity, some experts warn of its potential use as a new tool that could break existing encryption methods. Despite these potential risks, Microsoft is dedicated to developing a scalable quantum computing prototype which solidifies their role at the forefront of quantum innovation. Recommended read:
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Alyssa Hughes (2ADAPTIVE LLC dba 2A Consulting)@Microsoft Research
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Microsoft has announced two major advancements in both quantum computing and artificial intelligence. The company unveiled Majorana 1, a new chip containing topological qubits, representing a key milestone in its pursuit of stable, scalable quantum computers. This approach uses topological qubits, which are less susceptible to environmental noise, aiming to overcome the long-standing instability issues that have challenged the development of reliable quantum processors. The company says it is on track to build a new kind of quantum computer based on topological qubits.
Microsoft is also introducing Muse, a generative AI model designed for gameplay ideation. Described as a first-of-its-kind World and Human Action Model (WHAM), Muse can generate game visuals and controller actions. The company says it is on track to build a new kind of quantum computer based on topological qubits. Microsoft’s team is developing research insights to support creative uses of generative AI models. Recommended read:
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