The integration of quantum processors into tomorrow's supercomputers promises to dramatically expand the problems that can be addressed with compute—revolutionizing industries including drug and materials development.

In addition to being part of the vision for tomorrow's hybrid quantum-classical supercomputers, accelerated computing is dramatically advancing the work quantum researchers and developers are already doing to achieve that vision. And in today's development of tomorrow's quantum technology, NVIDIA GB200 NVL72 systems and their fifth-generation multinode NVIDIA NVLink interconnect capabilities have emerged as the leading architecture.

IBM has announced a detailed plan to create the world's first large-scale, fault-tolerant quantum computer by 2029. This system, named IBM Quantum Starling, will be located in a new Quantum Data Center in Poughkeepsie, New York. It is being developed to perform approximately 100 million quantum operations on 200 logical qubits, representing a significant leap, about 20,000 times more powerful than today's leading machines. Logical qubits are fundamental to the construction of error-corrected quantum processors. Each one encodes a single unit of quantum information across several physical qubits that continuously monitor each other for errors. By greatly reducing the error rates of logical qubits through this method, IBM intends to run complex algorithms with high reliability. This will open up new possibilities in fields like drug discovery, materials science, chemistry simulations, and large-scale optimization.

A key feature of Starling's design is its use of quantum low-density parity-check (qLDPC) error-correcting codes. These advanced codes need up to 90 percent fewer physical qubits compared to previous standard methods, which significantly lowers the required resources and infrastructure. IBM's research documents show how it will manage instruction sequencing, operation execution, and the real-time decoding of qubit measurements using conventional electronics like FPGAs or ASICs. IBM's updated Quantum Roadmap outlines several intermediate goals with processors named after birds. In 2025, IBM Quantum Loon will test long-range "C-coupler" interconnects and essential qLDPC components. Following that, in 2026, the modular Kookaburra chip will combine quantum memory with logical processing. In 2027, Cockatoo will connect multiple modules using "L-couplers," simulating the nodes of a larger system.

NVIDIA is working with companies worldwide to build out AI factories—speeding the training and deployment of next-generation AI applications that use the latest advancements in training and inference. The NVIDIA Blackwell architecture is built to meet the heightened performance requirements of these new applications. In the latest round of MLPerf Training—the 12th since the benchmark's introduction in 2018—the NVIDIA AI platform delivered the highest performance at scale on every benchmark and powered every result submitted on the benchmark's toughest large language model (LLM)-focused test: Llama 3.1 405B pretraining.

The NVIDIA platform was the only one that submitted results on every MLPerf Training v5.0 benchmark—underscoring its exceptional performance and versatility across a wide array of AI workloads, spanning LLMs, recommendation systems, multimodal LLMs, object detection and graph neural networks. The at-scale submissions used two AI supercomputers powered by the NVIDIA Blackwell platform: Tyche, built using NVIDIA GB200 NVL72 rack-scale systems, and Nyx, based on NVIDIA DGX B200 systems. In addition, NVIDIA collaborated with CoreWeave and IBM to submit GB200 NVL72 results using a total of 2,496 Blackwell GPUs and 1,248 NVIDIA Grace CPUs.

IBM and Inclusive Brains, a leader in non-invasive neurotechnologies and multimodal artificial intelligence, have entered a joint study agreement to experiment with advanced AI and quantum machine learning techniques. The aim of the joint study is to boost the performance of multi-modal brain-machine interfaces (BMIs).

Innovation with Positive Social Impact
BMIs have the potential to enable individuals with disabilities—particularly those who have lost the ability to use their hands or voice—to leverage connected devices and digital environments to regain control of their surroundings, eliminating the need for vocal commands or physical operation of a keyboard, screen or mouse. Inclusive Brains aims to improve access to education and employment opportunities using the insights generated in the joint study. Beyond better inclusion of people with paralysis, Inclusive Brains aims to broader societal benefits, including improved prevention of both physical and mental health issues among the wider population thanks to enhanced classifications and therefore a better understanding of brain activity patterns.

Ready for a front-row seat to the next scientific revolution? That's the idea behind Doudna—a groundbreaking supercomputer announced today at Lawrence Berkeley National Laboratory in Berkeley, California. The system represents a major national investment in advancing U.S. high-performance computing (HPC) leadership, ensuring U.S. researchers have access to cutting-edge tools to address global challenges. "It will advance scientific discovery from chemistry to physics to biology and all powered by—unleashing this power—of artificial intelligence," U.S. Energy Secretary Chris Wright (pictured above) said at today's event.

Also known as NERSC-10, Doudna is named for Nobel laureate and CRISPR pioneer Jennifer Doudna. The next-generation system announced today is designed not just for speed but for impact. Powered by Dell Technologies infrastructure with the NVIDIA Vera Rubin architecture, and set to launch in 2026, Doudna is tailored for real-time discovery across the U.S. Department of Energy's most urgent scientific missions. It's poised to catapult American researchers to the forefront of critical scientific breakthroughs, fostering innovation and securing the nation's competitive edge in key technological fields.

To defend regular users from bad actors wielding quantum computing power like Majorana 1, Windows 11 Insider Preview now includes built-in support for post-quantum cryptography (PQC), giving developers and security teams early access to algorithms designed to withstand the capabilities of future quantum computers. Available in Canary Channel Build 27852 and above, this update integrates two new schemes, ML-KEM for key exchange and ML-DSA for digital signatures, directly into the Cryptography API: Next Generation (CNG) and certificate management functions. ML-KEM addresses the "harvest now, decrypt later" threat model, in which adversaries collect encrypted data today to decrypt it once quantum hardware has advanced. Microsoft offers three levels of ML-KEM security: a Level 1 option that produces 800-byte ciphertexts and a 32-byte shared secret; a Level 3 configuration with 1,184-byte ciphertexts and the same 32-byte secret; and a Level 5 tier that increases ciphertext size to 1,568 bytes while keeping the shared secret at 32 bytes. These parameter sets allow organizations to balance performance and protection according to their threat models and operational requirements.

IQM Quantum Computers, a global leader in superconducting quantum computers, announced today the signing of an agreement with VTT Technical Research Centre in Finland to deliver a 150-qubit and a 300-qubit quantum computer. The systems will be delivered in 2026 and 2027 and integrated with the Finnish HPC infrastructure. The 300-qubit quantum computer is purpose-built and designed to support quantum error correction experiments an essential step toward fault-tolerant quantum computing. The system is expected to enable algorithm research for techniques such as circuit knitting.

IQM has previously delivered 5-qubit, 20-qubit, and 50-qubit quantum computers to VTT, marking key milestones in the development of Finland's quantum ecosystem. Each system has played a crucial role in advancing research capabilities and supporting the growing needs of the quantum community in Finland.

The University of Tokyo (UTokyo) and IBM have announced plans to deploy the latest 156-qubit IBM Heron quantum processing unit (QPU), which will be operational in the IBM Quantum System One administered by UTokyo for the members of the Quantum Innovation Initiative (QII) Consortium. The IBM Heron QPU, which features a tunable-coupler architecture, delivers a significantly higher performance than the processor previously installed in 2023.

This is the second update of the IBM Quantum System One as part of the collaboration between UTokyo and IBM. It was first deployed with a 27-qubit IBM Falcon QPU, before being updated to a 127-qubit IBM Eagle QPU in 2023. It is now transitioning to the latest generation highly performant IBM Heron later this year. IBM has deployed four Heron-based systems worldwide and their performance shows significant improvement over the previous Eagle QPU, with a 3-4x improvement in two-qubit error rates; an order of magnitude improvement in device-wide performance benchmarked by errors across 100-qubit long layers; continued improvement in speed, with a 60 percent increase in CLOPS expected; and a system uptime of more than 95%. The latest IBM Heron processor has continued to demonstrate immense value in orchestrating utility-level workloads, to date, with multiple published studies leveraging these systems' capability of achieving more than 5,000 gate operations.

IBM has introduced the LinuxONE Emperor 5, its newest Linux computing platform that runs on the Telum II processor with built-in AI acceleration features. This launch aims to tackle three key issues for tech leaders: better security measures, reduced costs, and smooth AI incorporation into business systems. The heart of the system, the Telum II processor, includes a second-generation on-chip AI accelerator. This component is designed to boost predictive AI abilities and large language models for instant transaction handling. The upcoming IBM Spyre Accelerator (set to arrive in late 2025) via PCIe card will boost generative AI functions. The platform comes with an updated AI Toolkit fine-tuned for the Telum II processor. It also offers early looks at Red Hat OpenShift AI and Virtualization allowing unified control of both standard virtual machines and containerized workloads.

The platform provides wide-ranging security measures. These include confidential computing strong cryptographic abilities, and NIST-approved post-quantum algorithms. These safeguard sensitive AI models and data from current risks and expected post-quantum attacks. When it comes to productivity, companies can combine several server workloads on one high-capacity system. This might cut ownership expenses by up to 44% compared to x86 options over five years. At the same time, it keeps exceptional 99.999999% uptime rates according to IBM. The LinuxOne Emperor 5 will run Linux Red Hat Enterprise Linux (RHEL), SUSE Linux Enterprise Server (SLES) and Canonical Ubuntu Server. Tina Tarquinio, chief product officer at IBM Z and LinuxONE, said: "IBM LinuxONE 5 represents the next evolution of our Linux infrastructure strategy. It is designed to help clients unlock the full potential of Linux and AI while optimizing their datacenters, simplifying their operations, and addressing risk. Whether you're building intelligent applications, deploying regulated workloads, consolidating infrastructure, or preparing for the next wave of transformation, IBM LinuxONE offers an exciting path forward."

TrendForce's latest investigations reveal that ongoing advancements in OLED displays are propelling the growth of QD-OLED monitor shipments. QD-OLED's share of OLED monitor shipments is expected to rise from 68% in 2024 to 73% in 2025, highlighting its strong competitiveness in the high-end monitor market. Driven by growing market demand, more brands and product lines are expected to adopt QD-OLED to deliver superior image quality and refresh rates for gamers and professional users.

The introduction of new 27-inch UHD products and high-refresh-rate QHD 500 Hz monitors is drawing attention. These models offer strong appeal for gaming and professional use, becoming key drivers of QD-OLED monitor adoption. The penetration rate of QD-OLED in 27-inch models is projected to grow from 32% in 2024 to 47% in 2025, driven by an expanding product lineup and ongoing technical improvements.

SaxonQ, developer of the first mobile quantum computer, and Quantum Machines, the leading provider of advanced hybrid quantum-classical control solutions, announced today a milestone demonstration of real-time quantum computing on SaxonQ's mobile quantum computer at Hannover Messe 2025. The live demonstrations included a quantum chemical calculation of H₂ energy levels and basic real-time image recognition, marking the first time anyone has shown such applications running on a portable room-temperature quantum computer publicly, demonstrate the potential of mobile quantum computing outside laboratory conditions.

"Developing a mobile quantum computer that runs in real-world environments—without cryogenic cooling and powered by a simple wall plug—is a challenge that requires the best available control technology. Quantum Machines provides exactly that. This successful demonstration proves that we can run reliable quantum operations on-site. It's an exciting step toward bringing quantum computing to industrial applications," says Dr. Frank Schlichting, CEO of SaxonQ.

Quantum Machines (QM), a leading provider of advanced quantum control solutions, today announced its intention to work with NVIDIA at its newly established NVIDIA Accelerated Quantum Research Center (NVAQC), unveiled at the GTC global AI conference. The Boston-based center aims to advance quantum computing research with accelerated computing, including integrating quantum processors with AI- supercomputing to overcome significant challenges in the quantum computing space. As quantum computing rapidly evolves, the integration of quantum processors with powerful AI supercomputers becomes increasingly essential. These accelerated quantum supercomputers are pivotal for advancing quantum error correction, device control, and algorithm development.

Quantum Machines joins other quantum computing pioneers, including Quantinuum and QuEra, along with academic partners from Harvard and MIT, in working with NVIDIA at the NVAQC to develop pioneering research. Quantum Machines will work with NVIDIA to integrate its NVIDIA GB200 Grace Blackwell Superchips with QM's advanced quantum control technologies, including the OPX1000. This integration will facilitate rapid, high-bandwidth communication between quantum processors and classical supercomputers. QM and NVIDIA thereby lay the essential foundations for quantum error correction and robust quantum algorithm execution. By reducing latency and enhancing processing efficiency, QM and NVIDIA solutions will significantly accelerate practical applications of quantum computing.

Quantum Machines (QM), the leading provider of advanced quantum control solutions, has recently announced the NVIDIA DGX Quantum Early Customer Program, with a cohort of six leading research groups and quantum computer builders. NVIDIA DGX Quantum, a reference architecture jointly developed by NVIDIA and QM, is the first tightly integrated quantum-classical computing solution, designed to unlock new frontiers in quantum computing research and development. As quantum computers scale, their reliance on classical resources for essential operations, such as quantum error correction (QEC) and parameter drift compensation, grows exponentially. NVIDIA DGX Quantum provides access to the classical acceleration needed to support this progress, advancing the path toward practical quantum supercomputers.

NVIDIA DGX Quantum leverages OPX1000, the best-in-class, modular high-density hybrid control platform, seamlessly interfacing with NVIDIA GH200 Grace Hopper Superchips. This solution brings accelerated computing into the heart of the quantum computing stack for the first time, achieving an ultra-low round-trip latency of less than 4 µs between quantum control and AI supercomputers - faster than any other approach. The NVIDIA DGX Quantum Early Customer Program is now underway, with selected leading academic institutions, national labs, and commercial quantum computer builders participating. These include the Engineering Quantum Systems group (equs.mit.edu) led by MIT Professor William D. Oliver, the Israeli Quantum Computing Center (IQCC), quantum hardware developer Diraq, the Quantum Circuit group (led by Ecole Normale Supérieure de Lyon Professor Benjamin Huard), and more.

Quantum networks—where entanglement is distributed across distant nodes—promise to revolutionize quantum computing, communication, and sensing. However, a major bottleneck has been scalability, as the entanglement rate in most existing systems is limited by a network design of a single qubit per node. A new study, led by Prof. A. Faraon at Caltech and conducted by A. Ruskuc et al., recently published in Nature (ref: 1-2), presents a groundbreaking solution: multiplexed entanglement using multiple emitters in quantum network nodes. By harnessing rare-earth ions coupled to nanophotonic cavities, researchers at Caltech and Stanford have demonstrated a scalable platform that significantly enhances entanglement rates and network efficiency. Let's take a closer look at the two key challenges they tackled—multiplexing to boost entanglement rates and dynamic control strategies to ensure qubit indistinguishability—and how they overcame them.

Breaking the Entanglement Bottleneck via Multiplexing
One of the biggest challenges in scaling quantum networks is the entanglement rate bottleneck, which arises due to the fundamental constraints of long-distance quantum communication. When two distant qubits are entangled via photon interference, the rate of entanglement distribution is typically limited by the speed of light and the node separation distance. In typical systems with a single qubit per node, this rate scales as c/L (where c is the speed of light and L is the distance between nodes), leading to long waiting times between successful entanglement events. This severely limits the scalability of quantum networks.

Welinq, a leader in quantum networking technology, has launched the first commercial quantum memory designed specifically for quantum data centers with world-record performance. Quantum computing is reaching a turning point: with more than 100 individual quantum computers deployed in dedicated infrastructures, the next challenge is networking them into scalable, high-performance architectures.

Just as classical data centers rely on distributed computing and high-speed interconnects, the future of quantum computing depends on optical networking and resource sharing between quantum processors. Welinq's quantum memory acts as the backbone of this infrastructure, making it possible to link quantum processors into powerful, scalable networks.

China's Ministry of Finance has allocated $55 billion (¥398.12 billion) for science and technology funding in 2025, marking a 10% increase from the previous year's $50 billion (¥361.9 billion). This expenditure now stands as the nation's third-largest budget item, following only national defense and debt interest payments. The 2024 allocation achieved a 97.6% implementation rate, indicating effective deployment of resources in the technology sector. The funding prioritizes initiatives under the "Science and Technology Innovation 2030" program, with significant investments targeting semiconductors, artificial intelligence, and quantum computing research. Rather than stimulating immediate breakthroughs, the incremental funding increase aims to strengthen existing projects and enhance technological self-reliance amid global competition.

This strategy shows some fiscal constraints imposed by China's economic slowdown while maintaining the country's long-term technological objectives. Supplementary measures bolster direct R&D investment, including enhanced support for fundamental research and specialized financing mechanisms for technology-focused enterprises. Tax reductions and targeted subsidies form part of a comprehensive policy framework designed to foster domestic innovation capabilities. While the funding increase shows commitment to technological advancement, effective project management and efficient resource allocation will be critical success factors, mainly as China competes more globally. Perhaps the most important milestone for this aid package will be supporting the development of advanced lithography tools to make sure that domestic companies can manufacture cutting-edge silicon.

Italian supercomputing centre Cineca today announced an agreement with IQM Quantum Computers, a global leader in superconducting quantum computers, to deliver the most powerful quantum computer in Italy.

IQM Radiance quantum computer, powered by IQM's 54-qubit quantum processing unit (QPU), will be installed in the fourth quarter of 2025. The quantum computer will be integrated into Leonardo, which is one of the world's fastest supercomputers. This will mark a major technology and innovation milestone for Italy and the larger quantum ecosystem.

Equal1 today unveils Bell-1, the first quantum system purpose-built for the HPC era. Unlike first-generation quantum computers that demand dedicated rooms, infrastructure, and complex cooling systems, Bell-1 is designed for direct deployment in HPC-class environments. As a rack-mountable quantum node, it integrates directly alongside classical compute—as compact as a GPU server, yet exponentially more powerful for the world's hardest problems. Bell-1 is engineered to eliminate the traditional barriers of cost, infrastructure, and complexity, setting a new benchmark for scalable quantum computing integration.

Bell-1 rewrites the rule book. While today's quantum computers demand specialized infrastructure, Bell-1 is a silicon-powered quantum computer that integrates seamlessly into existing HPC environments. Simply rack it, plug it in, and unlock quantum capabilities wherever your classical computers already operate. No new cooling systems. No extraordinary power demands. Just quantum computing that works in the real world, as easy to deploy as a high-end GPU server. It plugs into a standard power socket, operates at just 1600 W, and delivers on-demand quantum computing for computationally intensive workloads.

Microsoft launched its Majorana 1 chip—the world's first quantum processor powered by a Topological Core architecture—last month. The company's debuting of its Majorana design was celebrated as a significant milestone—in 2023, an ambitious roadmap was published by Microsoft's research department. At the time, a tall Majorana particle-based task was set: the building of a proprietary quantum supercomputer within a decade. Returning to the present day; outside parties have criticized Microsoft's February announcements. The Register published an investigative piece earlier today, based on quotes from key players specializing in the field of Quantum studies. Many propose a theoretical existence of Majorana particles, while Microsoft R&D employees have claimed detection and utilization. The Register referred back to recent history: "(Microsoft) made big claims about Majorana particles before, but it didn't end well: in 2021 Redmond's researchers retracted a 2018 paper in which they claimed to have detected the particles."

As pointed out by Microsoft researcher Chetan Nayak; their latest paper was actually authored last March 2024, but only made public in recent weeks. Further details of progress are expected next week, at the American Physical Society (APS) 2025 Joint March Meeting. The Register has compiled quotes from vocal critics; starting with Henry Legg—a lecturer in theoretical physics at the University of St Andrews, Scotland. The noted scholar believes—as divulged in a scientific online comment—that Microsoft's claimed Quantum breakthrough: "is not reliable and must be revisited." Similarly, collaborators from Germany's Forschungszentrum Jülich institute and the University of Pittsburgh, USA released a joint video statement. (Respectively) Experimental physicist Vincent Mourik and by Professor Sergey Frolov outlined: "distractions caused by unreliable scientific claims from Microsoft Quantum."

Traditional cybersecurity measures are proving insufficient for addressing emerging cyber threats such as malware, ransomware, phishing and data access attacks. Moreover, future quantum computers pose a security risk to today's data through "harvest now, decrypt later" attack strategies. Cybersecurity technology powered by NVIDIA accelerated computing and high-speed networking is transforming the way organizations protect their data, systems and operations. These advanced technologies not only enhance security but also drive operational efficiency, scalability and business growth.

Accelerated AI-Powered Cybersecurity
Modern cybersecurity relies heavily on AI for predictive analytics and automated threat mitigation. NVIDIA GPUs are essential for training and deploying AI models due to their exceptional computational power.

GSMA MWC Barcelona, runs from March 3 to 6, 2025 at the Fira Barcelona Gran Via in Barcelona, Spain. AMD is proud to participate in forward-thinking discussions and demos around AI, edge and cloud computing, the long-term revolutionary potential of moonshot technologies like quantum processing, and more. Check out the AMD hospitality suite in Hall 2 (Stand 2M61) and explore our demos and system design wins. Attendees are welcome to stop by informally or schedule a time slot with us.

As modern networks evolve, high-performance computing, energy efficiency, and AI acceleration are becoming just as critical as connectivity itself. AMD is at the forefront of this transformation, delivering solutions that power next-generation cloud, AI, and networking infrastructure. Our demos this year showcase AMD EPYC, AMD Instinct, and AMD Ryzen AI processors, as well as AMD Versal adaptive SoC and Zynq UltraScale+ RFSoC devices.

Today, Amazon Web Services (AWS) announced Ocelot, a new quantum computing chip that can reduce the costs of implementing quantum error correction by up to 90%, compared to current approaches. Developed by the team at the AWS Center for Quantum Computing at the California Institute of Technology, Ocelot represents a breakthrough in the pursuit to build fault-tolerant quantum computers capable of solving problems of commercial and scientific importance that are beyond the reach of today's conventional computers.

AWS used a novel design for Ocelot's architecture, building error correction in from the ground up and using the 'cat qubit'. Cat qubits-named after the famous Schrödinger's cat thought experiment-intrinsically suppress certain forms of errors, reducing the resources required for quantum error correction. Through this new approach with Ocelot, AWS researchers have, for the first time, combined cat qubit technology and additional quantum error correction components onto a microchip that can be manufactured in a scalable fashion using processes borrowed from the microelectronics industry.

AI reasoning models and agents are set to transform industries, but delivering their full potential at scale requires massive compute and optimized software. The "reasoning" process involves multiple models, generating many additional tokens, and demands infrastructure with a combination of high-speed communication, memory and compute to ensure real-time, high-quality results. To meet this demand, CoreWeave has launched NVIDIA GB200 NVL72-based instances, becoming the first cloud service provider to make the NVIDIA Blackwell platform generally available. With rack-scale NVIDIA NVLink across 72 NVIDIA Blackwell GPUs and 36 NVIDIA Grace CPUs, scaling to up to 110,000 GPUs with NVIDIA Quantum-2 InfiniBand networking, these instances provide the scale and performance needed to build and deploy the next generation of AI reasoning models and agents.

NVIDIA GB200 NVL72 on CoreWeave
NVIDIA GB200 NVL72 is a liquid-cooled, rack-scale solution with a 72-GPU NVLink domain, which enables the six dozen GPUs to act as a single massive GPU. NVIDIA Blackwell features many technological breakthroughs that accelerate inference token generation, boosting performance while reducing service costs. For example, fifth-generation NVLink enables 130 TB/s of GPU bandwidth in one 72-GPU NVLink domain, and the second-generation Transformer Engine enables FP4 for faster AI performance while maintaining high accuracy. CoreWeave's portfolio of managed cloud services is purpose-built for Blackwell. CoreWeave Kubernetes Service optimizes workload orchestration by exposing NVLink domain IDs, ensuring efficient scheduling within the same rack. Slurm on Kubernetes (SUNK) supports the topology block plug-in, enabling intelligent workload distribution across GB200 NVL72 racks. In addition, CoreWeave's Observability Platform provides real-time insights into NVLink performance, GPU utilization and temperatures.

Japan's central government will adjust its control over cutting-edge chips and quantum computer-related technology—a Japan Times news article proposes that new regulations will come into effect by the end of May. The report suggests that the nation's governing body is expanding its list of export-controlled items to include: "advanced chips, lithography equipment and cryo-coolers needed for the manufacture of quantum computers." The publication has gathered this information from revised foreign exchange laws. According to economy ministry officials, companies will be required to apply for external trade licenses—extra measures are being put in place to prevent the export of cutting-edge items to foreign military organizations. The updated terms are viewed as another step in tightening the supply of advanced semiconductor products to mainland China. Recent global events have paved the way for a new wave of AI chip-related restrictions.

Naturally, China has expressed concern regarding upcoming changes—they anticipate problems affecting supply chains and normal commercial exchanges between enterprises. According to the Japan Times report, the Ministry of Commerce in Beijing: "hopes Japan will make sure the measures don't hinder the economic and trade development between the two countries." The two nations have enjoyed a cordial semiconductor-centric trade relationship, skewed more in favor of Japan. Industry watchdogs believe that Chinese manufacturers have generated significant demand for Japanese-made production equipment. Japan's Ministry of Economy, Trade and Industry (METI) has updated its documents. According to the latest report, 42 new entities worldwide have been added to a list of: "foreign companies and organizations that would be subject to export oversight on any dual-use items. The additions come into effect on Feb. 5, it said. A total of around 110 Chinese companies, research institutions and other entities are on the list."

Rigetti Computing, Inc., a pioneer in full-stack quantum-classical computing, announced today the public launch of its 84-qubit Ankaa-3 system. Ankaa-3 is Rigetti's newest flagship quantum computer featuring an extensive hardware redesign that enables superior performance. Rigetti also celebrates major two-qubit gate fidelity milestones with Ankaa-3: successfully halving error rates in 2024 to achieve a median 99.0% iSWAP gate fidelity, as well as demonstrating 99.5% median fidelity fSim gates.

Ankaa-3 is now available to its partners via the Rigetti Quantum Cloud Services platform (QCS)and will be coming to Amazon Braket and Microsoft Azure in the first quarter of 2025. Users will be able to operate these higher fidelity and universal iSWAP gates for a wide range of algorithmic research, with a median gate time of 72 nanoseconds. The faster (median 56 nanoseconds), more specialized fSim gates are useful for specific algorithms such as random circuit sampling, as recently demonstrated on Google's Willow system.