17Tags Code Folders and files Name Last commit message Last commit date Latest commit mtjrider Merge branch 'release-v24.03' into 'main' 788c048· History 91 Commits benchmarks sync with internal repo1 (commit acc4fe25c) and repo2 (commit 6b3202c) ...
BQSKit: circuits with 48 and 64 qubits: Berkeley Quantum Synthesis Toolkit https://github.com/BQSKit/bqskit QAOA: 36 qubits with 4 parameters PEPS: tensor network with dimensions of 3x3 and operator depth 30. Approximate Tensor Network Methods MPS gate split performance is measured in execu...
BQSKit: circuits with 48 and 64 qubits: Berkeley Quantum Synthesis Toolkit https://github.com/BQSKit/bqskit QAOA: 36 qubits with 4 parameters PEPS: tensor network with dimensions of 3x3 and operator depth 30. Approximate Tensor Network Methods MPS gate split performance is measured in execu...
使用cuTensorNet使用近似张量网络方法实现量子电路模拟所需的最终组件是2.0.0版本中引入的栅极拆分功能。该团队提供了示例,展示了如何在cuQuantumGitHub repo中最好地使用这些组件中的每个组件,此外还有使用它们来实现MPS量子模拟的特定示例。 通过检查构建最终MPS作为键合维度函数的最后一个也是最昂贵的步骤的执行时间,测试...
NVIDIA cuQuantum Python provides Python bindings and high-level object-oriented models for accessing the full functionalities of NVIDIA cuQuantum SDK from Python.Available at https://github.com/NVIDIA/cuQuantumKey Features Provide 1:1 Python wrappers for all cuQuantum C APIs Provide high-level, ...
At this time we do not accept code contributions. You want to share your nice work built upon cuQuantum: We would love to hear more about your work! Please share with us on NVIDIA/cuQuantum GitHub Discussions! We also take any cuQuantum-related questions on this forum.Previous...
Bug reports should still go to our GitHub issue tracker.Add new APIs and functionalities: For cuTensorNet low-level APIs, please refer to the release notes of cuTensorNet v2.0.0; no new cuStateVec API is added. A new API, cuquantum.CircuitToEinsum.batched_amplitudes() to compute the amp...
Clone theNVIDIA/cuQuantumrepository:gitclonehttps://github.com/NVIDIA/cuQuantum SetCUDA_PATHto point to your CUDA installation [optional] SetCUQUANTUM_ROOTto point to your cuQuantum installation [optional] SetCUTENSOR_ROOTto point to your cuTENSOR installation ...
cuNumeric:用于阵列计算,实现NumPy应用编程接口,可以自动扩展到多GPU和多节点系统,而不需要修改代码。这将给使用Python的2000万名数据科学家、研究者和科学家带来重要的价值。该工具包现已在GitHub和Conda上提供,可以扩展到数千个GPU,为PyData和NumPy生态系统创造加速计算。
Option to use an external custom plugin that wraps an inter-process communication library. This option is to use libraries of users’ preferences. Please refer tocuQuantum GitHubfor details. The value ofCommPluginTypeshould be the same during the application lifetime if a value other thanCommPlug...