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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
Rafika RAHMAWATI (Nanyang Technological University)
Apr 8, 2026
Data for Tier 1 Project
JPEG Image - 642.2 KB - MD5: b5122c713021b2a8f2ba9ddfe8178e09
JPEG Image - 649.5 KB - MD5: 566bd2e5b056d5d0ac342d6acf7e1575
JPEG Image - 699.4 KB - MD5: 87020dc2662f278a904e12d5d74d213d
JPEG Image - 686.6 KB - MD5: 8a7ea6cf30f3cd366f4611a7915dc940
JPEG Image - 705.5 KB - MD5: 9d974a8bb3489f5c07e3b50b5c714644
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