Quantum Compilation
Cross-source consensus on Quantum Compilation from 1 sources and 5 claims.
1 sources · 5 claims
Uses
How it works
Preparation
Comparisons
Evidence quality
Highlighted claims
- Compilation agents were trained for 50,000 episodes and evaluated on 100,000 independently sampled Haar-random target unitaries. — Replay-buffer engineering for noise-robust quantum circuit optimization
- Compilation represented the residual unitary using real and imaginary entries. — Replay-buffer engineering for noise-robust quantum circuit optimization
- Quantum compilation was modeled as off-policy deep Q-learning in the experiments. — Replay-buffer engineering for noise-robust quantum circuit optimization
- The compilation experiments included 1-qubit small-rotation tasks, an HRC-basis task, and a 2-qubit setting with single- and two-qubit rotations. — Replay-buffer engineering for noise-robust quantum circuit optimization
- In 2-qubit ZZ(pi) approximation, HER did not reach the target fidelity threshold within 100,000 episodes. — Replay-buffer engineering for noise-robust quantum circuit optimization