Diagrams explaining the LR-QAOA Benchmarking Process – See originals at https://arxiv.org/pdf/2502.06471 A team from the Julich Supercomputing Centre, AIDAS, RWTH Aachen University, and Purdue University has released a paper that describes a new quantum benchmarking […]
At the APS Global Physics Summit 2025, Orange Quantum Systems officially revealed OrangeQS Juice, a new full-stack operating system designed specifically for quantum R&D labs. Juice provides unified control, monitoring, and debugging of complex quantum […]
Microsoft’s release in February of a technical paper on Nature as well as a post of a pre-print paper discussing Roadmap to fault tolerant quantum computation using topological qubit arrays on arXiv has generated a […]
Oxford Instruments NanoScience, Oxford Quantum Circuits (OQC), and Quantum Machines (QM) have unveiled a new collaborative initiative called Architect, an open-architecture quantum computing platform designed to accelerate workforce training and hands-on education in quantum technologies. […]
At the opening of the SupercomputingAsia 2025 (SCA2025) conference, Singapore’s Minister for Digital Development and Information, Mrs. Josephine Teo, announced the launch of the Hybrid Quantum-Classical Computing (HQCC 1.0) initiative. Led by the National Quantum […]
Norma, a South Korean quantum security and computing firm, has signed a memorandum of understanding (MOU) with game developer Neowiz to collaborate on applying quantum computing, quantum algorithms, and quantum AI in the gaming industry. […]
The Natural Sciences and Engineering Research Council of Canada (NSERC) and the National Research Council of Canada (NRC) have announced over CA$11 million ($7.6 million USD) in funding to support six collaborative research projects aimed […]
QuantWare and QuantrolOx have announced a joint solution that enables researchers to rapidly develop quantum error correction capabilities using QuantWare’s Contralto-A quantum processor and QuantrolOx’s Quantum EDGE automated tune-up platform. Contralto-A supports up to 17 […]
NVIDIA and QuEra have developed a transformer-based AI decoder to improve quantum error correction (QEC) by significantly accelerating and scaling the decoding process. Built using the NVIDIA CUDA-Q platform, this decoder surpasses state-of-the-art most-likely error […]
Q-CTRL, in partnership with NVIDIA and Oxford Quantum Circuits (OQC), has demonstrated a 500,000x reduction in classical compute costs for quantum error suppression tasks by leveraging NVIDIA GPUs and accelerated libraries. The work focuses on optimizing the layout ranking […]
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