Framework adapters for compiling and running Qiskit, Cirq, PennyLane, and CUDA-Q programs on cqlib and Tianyan Quantum Cloud, with unified compilation, device, job, and result handling.
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Updated
Oct 21, 2026 - Python
Framework adapters for compiling and running Qiskit, Cirq, PennyLane, and CUDA-Q programs on cqlib and Tianyan Quantum Cloud, with unified compilation, device, job, and result handling.
MCP server serving NVIDIA CUDA-Q docs, API reference, and runnable examples to AI agents, version-pinned to your installed cudaq
CUDA-Q dynamics + classical optimization of the effective Mølmer-Sørensen interaction (χt = π/8) to prepare the two-qubit Bell state. Uses a typical trapped-ion MS coupling scale.
A Matplotlib-based library for drawing quantum circuits, plotting measurement results, and comparing outputs across several quantum ecosystems with one consistent public API. Explained in https://arxiv.org/abs/2606.08760
Benchmark datasets for systematic evaluation of CUDA-Q and Qiskit across CPU and GPU backends, spanning statevector simulation, variational algorithms, sampling, and quantum chemistry workloads.
Learning NVIDIA CUDA-Q by writing and verifying real quantum circuits on a local GPU: Grover, QFT, VQE, quantum walks, and more, each checked against classical ground truth.
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