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Apr 9, 2026
Rahmawati, Rafika; Li, Shuzhou, 2026, "Benchmarking adaptive circuits and quantum natural gradients variational quantum algorithm (VQE) for efficient molecular simulations", https://doi.org/10.21979/N9/LDPUKT, DR-NTU (Data), V2
The provided data includes the general source code and its computational results. |
Jupyter Notebook - 305.7 KB -
MD5: 7efad5b4a45371e7b05eaf26fc37879e
Benchmark VQE using UCCSD ansatz with Gradient Descent and Quantum Natural Gradient Optimizer |
Jupyter Notebook - 599.4 KB -
MD5: f7601afba1cea436f8cf9ab71e3ecc8a
Benchmark VQE using Hardware Efficient ansatz with Gradient Descent and Quantum Natural Gradient Optimizer |
Jupyter Notebook - 119.9 KB -
MD5: 1ba8e13a293df80fb017384f82d11fd3
Benchmark VQE using kUpCCGSD ansatz with Gradient Descent and Quantum Natural Gradient Optimizer |
PNG Image - 215.3 KB -
MD5: d2d913e58a411cf2e2a1cf75a966b23e
Noiseless computation cost of min energy calculated using VQE |
