Quantum Computing Algorithm Verification
Algorithm Validation
VQE Convergence Testing:
def test_vqe_convergence():
for molecular_config in [‘H2O’, ‘CH4’, ‘C6H6’]:
result = run_vqe(molecular_config)
assert result.energy < classical_baseline
assert result.variance < 0.01
assert result.iterations < 1000
Cross-Platform Verification
Result Comparison Framework
graph LR
A[IBM Result] –> C[Validation Engine]B[Rigetti Result] –> C
C –> D{Consensus Check}
D –>|Match| E[Approved]D –>|Mismatch| F[Diagnostics]
Optimization Statistics
Key Findings Table
| Parameter | Simulated | IBM | Rigetti | Variance |
|---|---|---|---|---|
| H2 Energy | -1.137 | -1.121 | -1.115 | 1.9% |
| Runtime | 18s | 142s | 97s | 39.7% |
Error Mitigation Techniques
Dynamic Decoupling:
- Reduced T2 errors by 42%
- Pulse schedule:
X90(0) –[τ]– Y180(0) –[τ]– X90(0)
