Articles tagged with "quantum-hardware"
World's first 10,000-qubit processor marks 100× quantum scaling leap
QuantWare has announced a groundbreaking advancement in quantum computing with the unveiling of the world’s first 10,000-qubit Quantum Processor Unit (QPU), named VIO-40K. This processor represents a 100-fold increase in qubit count compared to existing commercial quantum processors, which have largely been limited to around 100 qubits for nearly a decade. Unlike previous approaches that linked multiple smaller processors, QuantWare’s new architecture employs a 3D scaling method and chiplet-based design, enabling dense, single-chip quantum computing with improved reliability, performance, and efficiency. The system supports 40,000 input-output lines and high-fidelity chip-to-chip connections, delivering more compute power per dollar and watt than current networked multi-QPU platforms. QuantWare’s innovation is positioned as a new industry standard for scaling superconducting qubit-based quantum processors, with compatibility integrated into its Quantum Open Architecture ecosystem. The company has partnered with NVIDIA to incorporate NVQLink technology, which links quantum and
quantum-computingquantum-processorqubitschiplet-designquantum-hardwarequantum-scalingquantum-fabricationResearchers use symmetry to decode quantum noise behavior in next-gen processors
Researchers at Johns Hopkins Applied Physics Laboratory (APL) and Johns Hopkins University have made a significant advance in characterizing quantum noise, a major obstacle to reliable quantum computing. Quantum processors are highly sensitive to disturbances such as temperature shifts, vibrations, electrical fluctuations, and atomic-scale effects, which disrupt fragile quantum states and complicate computations. Existing noise models are often too simplistic, failing to capture noise that spreads across both time and space within processors, thereby hindering the development of fault-tolerant quantum error-correcting codes. To address this, the researchers employed symmetry—a mathematical property that simplifies complex structures—to better understand noise behavior. Using a technique called root space decomposition, they structured the quantum system into discrete states arranged like rungs on a ladder. By observing how noise causes transitions between these states, they can classify disturbances and apply targeted mitigation strategies. This novel framework offers a more precise characterization of noise, which is expected to enhance both hardware design and algorithm development for quantum computing. The study, published in
quantum-computingquantum-noisefault-tolerant-computingquantum-processorserror-correctionquantum-algorithmsquantum-hardwareWorld’s most accurate quantum computer breaks 98-qubit barrier
Quantinuum has unveiled Helios, its most advanced quantum computer to date, featuring 98 fully connected qubits and setting new industry records in accuracy and scalability. Helios nearly doubles the qubit count of its predecessor, H2, and achieves single-qubit gate fidelity of 99.9975% and two-qubit gate fidelity of 99.921%, the highest reported in commercial quantum systems. This performance enables Helios to complete complex quantum computations, such as Random Circuit Sampling benchmarks, with energy efficiency far surpassing classical supercomputers, requiring roughly the power of a single data center rack compared to the astronomical energy classical machines would need. The system introduces a novel ion-trap architecture using barium qubits and visible-light lasers, which reduce costs and improve reliability by enabling atomic-level error detection and correction. Its Quantum Charged Coupled Device (QCCD) layout allows parallel cooling, sorting, and computation, enhancing speed and accuracy. Helios also features a real-time control engine
quantum-computingquantum-computerion-trap-architecturequbitshigh-accuracyquantum-hardwarequantum-softwareStudy shows modular quantum systems work even with imperfect links
A recent study led by the University of California, Riverside, demonstrates through simulations that modular quantum computing systems can scale effectively even when the connections between individual quantum chips are imperfect and noisy. Traditionally, scaling quantum computers has been challenging due to fragile qubits and noisy inter-chip links, especially when chips operate in separate cryogenic environments. However, the research shows that as long as each chip maintains high fidelity, the inter-chip connections can tolerate noise levels up to ten times greater than those within a single chip without compromising the system’s ability to detect and correct errors. This finding suggests that building larger, fault-tolerant quantum computers may be achievable sooner than previously anticipated without waiting for perfect hardware. The study emphasizes that simply increasing the number of qubits is insufficient for practical quantum computing; fault tolerance is crucial. Logical qubits, which are the usable units in quantum programs, are formed by combining many physical qubits to enable error correction, often using techniques like the surface code. By simulating thousands of modular
quantum-computingfault-tolerancequantum-chipsquantum-systemserror-correctionscalable-quantum-computersquantum-hardwarePhotonic chip sets loss record, boosts quantum computing scale
Xanadu and HyperLight have jointly achieved a significant breakthrough in photonic chip technology, crucial for advancing scalable photonic quantum computers. By refining the fabrication process of thin-film lithium niobate (TFLN) chips, they reduced waveguide loss to below 2 dB per meter and electro-optic switch loss to just 20 milli-decibels (mdB), setting new industry records for low-loss performance. Importantly, these chips were produced using high-volume semiconductor manufacturing processes, demonstrating readiness for commercial-scale deployment and marking a key milestone in Xanadu’s 2025 hardware roadmap. This advancement addresses a critical challenge in photonic quantum computing, where minimizing optical loss is essential to reduce errors and enable scaling. The low-loss waveguides and switches allow photons to be guided and rerouted with minimal signal degradation, supporting the development of large-scale, fault-tolerant quantum computers. Building on their previous collaboration in the Aurora project—the world’s first fiber-networked photonic quantum
materialsphotonic-chipsquantum-computinglithium-niobatesemiconductor-fabricationelectro-optic-switchesquantum-hardwareIndia eyes global quantum computer push — and QpiAI is its chosen vehicle
QpiAI, an Indian startup specializing in integrating AI with quantum computing for enterprise applications, has secured $32 million in a Series A funding round co-led by the Indian government under its $750 million National Quantum Mission and Avataar Ventures. Valued at $162 million post-money, this investment underscores India’s strategic push to become a global quantum computing leader. The National Quantum Mission, launched in 2023, targets the development of intermediate-scale quantum computers (50–1,000 qubits) and related quantum technologies such as satellite-based quantum communications and quantum materials over the next eight years. QpiAI, one of eight startups selected for government grants, has developed India’s first full-stack quantum computer, QpiAI-Indus, featuring 25 superconducting qubits, and integrates AI to enhance quantum chip design and error correction. Founded in 2019 and headquartered in Bengaluru with subsidiaries in the U.S. and Finland, QpiAI focuses on real-world quantum applications in sectors like
quantum-computingAI-integrationquantum-materialssuperconducting-qubitsquantum-hardwarematerial-discoveryquantum-device-fabricationIsraeli quantum startup Qedma just raised $26 million, with IBM joining in
Israeli quantum computing startup Qedma has raised $26 million in a Series A funding round led by Israeli VC firm Glilot+, with participation from existing investors like TPY Capital, new investors including Korean Investment Partners, and notably IBM. Qedma specializes in quantum error mitigation software, particularly its flagship product QESEM (quantum error suppression and error mitigation), which analyzes and reduces noise-induced errors in quantum computations both during execution and in post-processing. This approach enables more accurate quantum circuit runs on current hardware without waiting for full error correction advancements at the hardware level. IBM’s involvement reflects its strategy to foster a collaborative quantum ecosystem by partnering with companies focused on software layers, complementing its own hardware and software development efforts. IBM’s VP of Quantum, Jay Gambetta, emphasized the importance of community efforts to achieve scientifically accepted definitions of “quantum advantage”—the point where quantum computers demonstrably outperform classical ones. Qedma’s CEO, Asif Sinay, expressed optimism that the company could
quantum-computingerror-correctionquantum-softwareIBMquantum-advantagequantum-hardwarematerials-science