CNOT Minimization on Overcooked setting circuits
3.52Avg CNOT CountPMH
Evaluation results
| Method | Links | |
|---|---|---|
| PMHSize=3-, Preprocessing=Submatrix embedding2025.10 | 3.52 | |
| RLSize=3-, Preprocessing=Submatrix embedding2025.10 | 3.6 | |
| PMHSize=4-, Preprocessing=Submatrix embedding2025.10 | 6.98 | |
| RLSize=4-, Preprocessing=Submatrix embedding2025.10 | 7.19 | |
| PMHSize=5-, Preprocessing=Submatrix embedding2025.10 | 11.07 | |
| RLSize=5-, Preprocessing=Submatrix embedding2025.10 | 11.84 | |
| RLSize=6-, Preprocessing=Submatrix embedding2025.10 | 16.2 | |
| PMHSize=6-, Preprocessing=Submatrix embedding2025.10 | 16.4 | |
| RLSize=7-, Preprocessing=Submatrix embedding2025.10 | 22.61 | |
| PMHSize=7-, Preprocessing=Submatrix embedding2025.10 | 22.62 | |
| RLSize=82025.10 | 28.02 | |
| PMHSize=82025.10 | 30.58 | |
| RLSize=9*, Preprocessing=Gaussian Stripe algorithm2025.10 | 36.19 | |
| PMHSize=9*, Preprocessing=Gaussian Stripe algorithm2025.10 | 40.94 | |
| RLSize=10*, Preprocessing=Gaussian Stripe algorithm2025.10 | 45.58 | |
| PMHSize=10*, Preprocessing=Gaussian Stripe algorithm2025.10 | 52.1 | |
| RLSize=11*, Preprocessing=Gaussian Stripe algorithm2025.10 | 55.29 | |
| RLSize=12*, Preprocessing=Gaussian Stripe algorithm2025.10 | 63.99 | |
| PMHSize=11*, Preprocessing=Gaussian Stripe algorithm2025.10 | 66.98 | |
| RLSize=13*, Preprocessing=Gaussian Stripe algorithm2025.10 | 77.35 | |
| PMHSize=12*, Preprocessing=Gaussian Stripe algorithm2025.10 | 82.77 | |
| RLSize=14*, Preprocessing=Gaussian Stripe algorithm2025.10 | 90.95 | |
| PMHSize=13*, Preprocessing=Gaussian Stripe algorithm2025.10 | 103.83 | |
| RLSize=15*, Preprocessing=Gaussian Stripe algorithm2025.10 | 106.7 | |
| PMHSize=14*, Preprocessing=Gaussian Stripe algorithm2025.10 | 123.89 | |
| PMHSize=15*, Preprocessing=Gaussian Stripe algorithm2025.10 | 148.57 |