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Benchmark-1-UCCSD-Tier1-ipynb-09042026.ipynb
Apr 9, 2026 - Benchmarking adaptive circuits and quantum natural gradients variational quantum algorithm (VQE) for efficient molecular simulations
Jupyter Notebook - 305.7 KB - MD5: 7efad5b4a45371e7b05eaf26fc37879e
Benchmark VQE using UCCSD ansatz with Gradient Descent and Quantum Natural Gradient Optimizer
Benchmark-2-HE-Tier1-ipynb-09042026.ipynb
Apr 9, 2026 - Benchmarking adaptive circuits and quantum natural gradients variational quantum algorithm (VQE) for efficient molecular simulations
Jupyter Notebook - 599.4 KB - MD5: f7601afba1cea436f8cf9ab71e3ecc8a
Benchmark VQE using Hardware Efficient ansatz with Gradient Descent and Quantum Natural Gradient Optimizer
Benchmark-3-kUpCCGSD-Tier1-ipynb-09042026.ipynb
Apr 9, 2026 - Benchmarking adaptive circuits and quantum natural gradients variational quantum algorithm (VQE) for efficient molecular simulations
Jupyter Notebook - 119.9 KB - MD5: 1ba8e13a293df80fb017384f82d11fd3
Benchmark VQE using kUpCCGSD ansatz with Gradient Descent and Quantum Natural Gradient Optimizer
Noiseless-comp-cost-Tier1-png-08042026
Noiseless-comp-cost-Tier1-png-08042026
Apr 9, 2026 - Benchmarking adaptive circuits and quantum natural gradients variational quantum algorithm (VQE) for efficient molecular simulations
PNG Image - 215.3 KB - MD5: d2d913e58a411cf2e2a1cf75a966b23e
Noiseless computation cost of min energy calculated using VQE
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