4 ms·
CUDA-Q Back Ends: Quantum Hardware (QPU)
- westurner 1y ago2025-11: https://nvidia.github.io/cuda-quantum/latest/using/backends/hardware.html https://nvidia.github.io/cuda-quantum/latest/using/backends/... : > Ion Trap QPUs: IonQ, Quantinuum > Superconducting QPUs: Anyon Technologies/Anyon Computing, IQM, OQC, Quantum Circuits, Inc. > Neutral Atom QPUs: Infleqtion, Pasqal, QuEra Computing > Photonic QPUs: ORCA Computing, Quantum Control Systems, Quantum Machines
- westurner 1y agoFWIW, tequilahub/tequila supports a number of QC/QPU APIs as well. Currently supported quantum backends from the tequila README: https://github.com/tequilahub/tequila#quantum-backends https://github.com/tequilahub/tequila#quantum-backends > Qulacs (recommended), Qibo, Qiskit [IBM], Cirq [Google, SymPy], PyQuil QLM (works also whith myQLM), [ and CUDAQ [NVIDIA]] > Quantum Chemistry backends: Psi4, Madness, PySCF
- westurner 1y agoMore abstractly, Qubit > "Physical implementations" has a table of quantum effects usable for quantum computing: https://en.wikipedia.org/wiki/Qubit#Physical_implementation https://en.wikipedia.org/wiki/Qubit#Physical_implementation