NIST Allocates Over $3 Million to Small Businesses Advancing AI, Biotechnology, Semiconductors, Quantum and More
NIST allocated over $3 million to small businesses advancing AI, biotechnology, semiconductors, quantum and other technologies.
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NIST allocated over $3 million to small businesses advancing AI, biotechnology, semiconductors, quantum and other technologies.
Photonic explored magnetic field control for robust entanglement between T centres.
Pasqal presented its 2026 vision for quantum use in industry and research.
Microsoft Quantum announced new developer tools for its quantum platform.
IonQ announced its accelerated quantum computing roadmap.
IonQ announced software for fast and accurate decoding of Quantum LDPC codes.
IonQ published an article on Dr. Chris Monroe's role in quantum computing development.
IonQ released a technical overview covering error correction in quantum systems and the importance of qubit performance.
MIT researchers developed a cooling technique to support scalability of trapped-ion systems on chips.
Google Quantum AI presented dynamic surface codes for quantum error correction.
MIT physicists propose that anyons may explain coexistence of superconductivity and magnetism in certain materials.
NIST physicists achieved quantum control of molecules.
NVIDIA CUDA-Q QEC added support for real-time decoding via low-latency GPU decoders that operate concurrently with a quantum processing unit.
NVIDIA CUDA-Q released cuQuantum SDK v25.11 with advanced large-scale quantum simulation techniques.
Nord Quantique received $23 million in non-dilutive funding through the Canadian Quantum Champions Program.
Photonic published an article explaining the T Centre silicon defect for its quantum devices.
Ernest Opoku, a postdoctoral researcher at MIT, creates algorithms to model electron interactions.
NVIDIA CUDA-Q published material on building qubits using GPU-accelerated computing.
NVIDIA CUDA-Q presented the NVQLink architecture for integrating accelerated computing with quantum processors.
Nord Quantique published an article relating the Nobel Prize in Economics to quantum innovation.
Google Quantum AI released a quantum toolkit for optimization.
Pasqal researchers Constantin Dalyac and Alexandre Dauphin published an article on quantum computing for materials discovery.
MIT is forming a Quantum Initiative to advance scientific and technological progress.
Nord Quantique was selected for the second phase of DARPA’s Quantum Benchmarking Initiative.
MIT alumnus Jason Necaise and Kanav Setia founded qBraid, a firm offering cloud access to major quantum hardware and programming tools.
MIT researchers assessed quantum materials for commercial scalability in a new study and identified promising candidates.
NVIDIA CUDA-Q announced cuQuantum integrations in QuTiP and scQubits.
Photonic described laser light coupling to T centres and their environment.
NVIDIA CUDA-Q released cuPQC 0.4 with accelerated hash functions and Merkle Trees.
NVIDIA CUDA-Q released CUDA-QX version 0.4 for quantum error correction and application development.
NVIDIA released CUDA-Q 0.12, expanding the toolset for developing hardware-performant quantum applications.
MIT researchers reported that an often-ignored effect can probe a key property of semiconductors.
NVIDIA added dynamics gradients, DMRG, and simulation speed improvements to its cuQuantum library.
MIT Plasma Science and Fusion Center staff built a circuit with superconducting behavior to potentially supplant semiconductors in quantum computing.
NVIDIA CUDA-Q introduced CUDA-Q Academic to integrate AI supercomputing into quantum education.
Infleqtion optimized portfolios using Q-CHOP and NVIDIA CUDA-Q Dynamics.
MIT engineers reported advances in developing components for a fault-tolerant quantum computer.
NVIDIA CUDA-Q announced support for quantum error correction research using its platform.
NVIDIA CUDA-Q published material on its platform for quantum applications research.
NVIDIA and QuEra developed an AI method to decode quantum errors using CUDA-Q.