Takuma Yamaguchi – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-22T22:57:18Z http://www.open-lab.net/blog/feed/ Takuma Yamaguchi <![CDATA[NVIDIA cuQuantum Adds Dynamics Gradients, DMRG, and Simulation Speedup?]]> http://www.open-lab.net/blog/?p=102930 2025-07-22T22:57:18Z 2025-07-07T19:00:00Z NVIDIA cuQuantum is an SDK of optimized libraries and tools that accelerate quantum computing emulations at both the circuit and device level by orders of...]]>

NVIDIA cuQuantum is an SDK of optimized libraries and tools that accelerate quantum computing emulations at both the circuit and device level by orders of magnitude. With NVIDIA Tensor Core GPUs, developers can speed up quantum computer simulations based on quantum dynamics, state vectors, and tensor network methods by orders of magnitude. In many cases, this provides researchers with simulations…

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Takuma Yamaguchi <![CDATA[Achieving Supercomputing-Scale Quantum Circuit Simulation with the NVIDIA cuQuantum Appliance]]> http://www.open-lab.net/blog/?p=54840 2023-07-11T23:16:29Z 2022-09-22T18:31:00Z Quantum circuit simulation is critical for developing applications and algorithms for quantum computers. Because of the disruptive nature of known quantum...]]>

As of March 21, 2023, QODA is now CUDA Quantum. For up-to-date information, see the CUDA Quantum page. Quantum circuit simulation is critical for developing applications and algorithms for quantum computers. Because of the disruptive nature of known quantum computing algorithms and use cases, quantum algorithms researchers in government, enterprise, and academia are developing and…

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Takuma Yamaguchi <![CDATA[Accelerating Matrix Multiplication with Block Sparse Format and NVIDIA Tensor Cores]]> http://www.open-lab.net/blog/?p=24706 2023-05-24T00:25:03Z 2021-03-19T16:24:28Z Sparse-matrix dense-matrix multiplication (SpMM) is a fundamental linear algebra operation and a building block for more complex algorithms such as finding the...]]>

Sparse-matrix dense-matrix multiplication (SpMM) is a fundamental linear algebra operation and a building block for more complex algorithms such as finding the solutions of linear systems, computing eigenvalues through the preconditioned conjugate gradient, and multiple right-hand sides Krylov subspace iterative solvers. SpMM is also an important kernel used in many domains such as fluid dynamics…

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