Evaluating the Effect of the Order of Optimization Passes in Quantum Circuit Optimization

arXiv:2609.29406 · quant-ph, cs.ET, cs.PF · Submitted 2026-09-24 · Read on arXiv

quant-ph, cs.ET, cs.PF

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Benchmark — 31× in this paper · explained in 2 episodes
• Quantum Circuits — 8× in this paper · explained in 2 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Quantum Computing and Engineering — 3× in this paper
• Benchmarking — 2× in this paper · explained in 3 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Multi-objective Optimization — 1× in this paper · explained in 4 episodes

Sources

• Integration of Quantum Accelerators with High Performance Computing -- A Review of Quantum Programming Tools
• PennyLane: Automatic differentiation of hybrid quantum-classical computations
• t$|$ket$\rangle$ : A Retargetable Compiler for NISQ Devices
• AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
• Clifford Assisted Optimal Pass Selection for Quantum Transpilation

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