CNOT Minimization on Rare setting circuits
1.61Avg CNOT CountPMH
Evaluation results
| Method | Links | |
|---|---|---|
| PMHSize=3-, Preprocessing=Submatrix embedding2025.10 | 1.61 | |
| RLSize=3-, Preprocessing=Submatrix embedding2025.10 | 2.13 | |
| PMHSize=4-, Preprocessing=Submatrix embedding2025.10 | 2.84 | |
| PMHSize=5-, Preprocessing=Submatrix embedding2025.10 | 2.84 | |
| RLSize=5-, Preprocessing=Submatrix embedding2025.10 | 2.95 | |
| RLSize=4-, Preprocessing=Submatrix embedding2025.10 | 3.01 | |
| PMHSize=6-, Preprocessing=Submatrix embedding2025.10 | 3.98 | |
| RLSize=6-, Preprocessing=Submatrix embedding2025.10 | 4 | |
| PMHSize=7-, Preprocessing=Submatrix embedding2025.10 | 4.03 | |
| RLSize=7-, Preprocessing=Submatrix embedding2025.10 | 4.09 | |
| PMHSize=9*, Preprocessing=Gaussian Stripe algorithm2025.10 | 4.21 | |
| RLSize=9*, Preprocessing=Gaussian Stripe algorithm2025.10 | 4.29 | |
| RLSize=82025.10 | 5.25 | |
| PMHSize=82025.10 | 5.29 | |
| PMHSize=11*, Preprocessing=Gaussian Stripe algorithm2025.10 | 5.5 | |
| PMHSize=10*, Preprocessing=Gaussian Stripe algorithm2025.10 | 5.55 | |
| RLSize=10*, Preprocessing=Gaussian Stripe algorithm2025.10 | 5.63 | |
| RLSize=11*, Preprocessing=Gaussian Stripe algorithm2025.10 | 5.64 | |
| PMHSize=13*, Preprocessing=Gaussian Stripe algorithm2025.10 | 6.45 | |
| PMHSize=12*, Preprocessing=Gaussian Stripe algorithm2025.10 | 6.47 | |
| RLSize=12*, Preprocessing=Gaussian Stripe algorithm2025.10 | 6.86 | |
| RLSize=13*, Preprocessing=Gaussian Stripe algorithm2025.10 | 6.98 | |
| PMHSize=14*, Preprocessing=Gaussian Stripe algorithm2025.10 | 7.62 | |
| PMHSize=15*, Preprocessing=Gaussian Stripe algorithm2025.10 | 7.93 | |
| RLSize=14*, Preprocessing=Gaussian Stripe algorithm2025.10 | 8.17 | |
| RLSize=15*, Preprocessing=Gaussian Stripe algorithm2025.10 | 8.43 |