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NishMath - #quantumhardware
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@blogs.nvidia.com
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Recent advancements in quantum computing include the launch of new supercomputers and the development of open-source frameworks. NVIDIA and AIST have collaborated to launch ABCI-Q, a supercomputing system designed for hybrid quantum-AI research. This system, powered by NVIDIA H100 GPUs and utilizing NVIDIA’s Quantum-2 InfiniBand platform, is hosted at the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT). ABCI-Q supports hybrid workloads by integrating GPU-based simulation with physical quantum processors from Fujitsu, QuEra, and OptQC, aiming to advance quantum error correction and algorithm development. It serves as a testbed for quantum-GPU workflows across various hardware modalities.
Quantum Machines has introduced QUAlibrate, an open-source calibration framework designed to significantly reduce the time required for quantum computer calibration. Calibration, a major hurdle in quantum system performance and scalability, can now be reduced from hours to minutes. QUAlibrate enables the creation, execution, and sharing of modular calibration protocols, allowing researchers to calibrate multi-qubit superconducting systems rapidly. At the Israeli Quantum Computing Center, full multi-qubit calibration was achieved in just 140 seconds using QUAlibrate. The framework is built on the QUA programming language and uses the Quantum Abstract Machine (QUAM) to model quantum hardware, featuring a graph-based calibration approach. These advancements are supported by strategic collaborations and investments in quantum technologies. SilQ Connect, a startup focusing on distributed quantum computing, has secured pre-seed funding to advance modular quantum interconnects. This funding from QV Studio, Quantacet, and Quantonation will support the development of microwave-optical quantum interconnects for scalable quantum systems. Additionally, Taiwan's National Center for High-Performance Computing is deploying a new NVIDIA-powered AI supercomputer to support research in climate science, quantum research, and the development of large language models. This initiative aims to foster cross-domain collaboration and global AI leadership.
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staff@insidehpc.com
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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.
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