Quantum Circuit Compilation

Overview

Quantum circuit compilation turns an abstract quantum algorithm into operations that a particular device can execute, making efficient compilation important for limiting errors and scarce gate use. It includes gate synthesis and simplification, qubit mapping and routing, and hardware-specific scheduling such as ion shuttling. Approaches range from algebraic search and compiler-pass tuning to reinforcement learning, supervised models, and generative methods, evaluated on tasks such as Clifford synthesis, Hamiltonian simulation, and MQTBench or QUEKO routing circuits. A central challenge is balancing gate count and circuit depth against device-dependent fidelity, while ensuring methods scale and generalize across circuits and hardware.

Latest papers

CardsList

22 papers0 papers in the last four weeks, down 100% on the four weeks before. 0.0% of all new papers.

  1. AI-Assisted Discovery of CNOT Decompositions for Quantum Permutations on Constrained Topologies

    Oct 27, 2026Daniele Lizzio Bosco, Jacopo Cossio, Simone Faro +4Quantum Circuit SynthesisQuantum Circuit Compilation

  2. MQSS-Selector: RL-Guided Pass Selection for an MLIR Compilation Pipeline

    Sep 24, 2026Andre Youssefi, Ercüment Kaya, Minh Chung +3Quantum Circuit Compilation

  3. Bridge of ΨΨ's: Quantum Circuit Optimization with Schrödinger Bridges

    Sep 22, 2026Lino S. Hofstetter, Lia Yeh, Prakash MuraliQuantum Circuit OptimizationQuantum Circuit Compilation

  4. LLM-Driven Algorithm Design for Quantum Circuit Synthesis based on Binary Decision Diagrams

    Sep 4, 2026Yoonju Sim, Federico Berto, Chuanbo Hua +2Quantum Circuit SynthesisQuantum Circuit Optimization

  5. Predicting Resource Efficient Hamiltonian Decomposition for Continuous-Time Quantum Walk Simulations

    Aug 21, 2026Mostafa Atallah, Rebekah Herrman, Zain H. SaleemQuantum Circuit SimulationQuantum Circuit Compilation

  6. AlphaClifford: Efficient Clifford Synthesis and Transpilation with Model-based RL

    Aug 19, 2026Daniele Lizzio Bosco, Jacopo Cossio, Carla Piazza +1Quantum Circuit CompilationProgram Synthesis

  7. Transpiler Autotuning with Predictive Models for Quantum Circuit Optimization

    Jul 31, 2026Piotr Malkowski, Domenik Eichhorn, Joshua Ammermann +4Quantum Circuit OptimizationQuantum Circuit Compilation

  8. Efficient LLM-Generated Shuttling Compilers for Complex Trapped-Ion Architectures

    Jul 27, 2026Fabian Kreppel, Reza Salkhordeh, Ferdinand Schmidt-Kaler +1Quantum Circuit CompilationLLM-Based Program Synthesis

  9. Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing

    Jun 11, 2026Yash Vardhan Tomar, Dheeraj PeddireddyReinforcement LearningQuantum Circuit Compilation

  10. Hardware-aware Low-latency Quantum Compilation with Data-driven Lightweight Error Detection for Early Fault-Tolerant Systems

    Jun 4, 2026Sumit ChongderQuantum Circuit Compilation

  11. CO-MAP: A Reinforcement Learning Approach to the Qubit Allocation Problem

    May 13, 2026Ankit Kulshrestha, Xiaoyuan LiuQuantum Circuit CompilationCombinatorial Optimization

  12. QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning

    May 12, 2026Kien X. Nguyen, Ankit Kulshrestha, Ilya Safro +1Quantum Circuit CompilationCombinatorial Optimization

  13. Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis

    May 11, 2026Richie Yeung, Aleks Kissinger, Rob CornishEquivariant Neural NetworksQuantum Circuit Optimization

  14. From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data

    May 2, 2026King Yiu Yu, Aritra Sarkar, Erbing Hua +3Quantum Circuit CompilationQuantum Generative Modeling

  15. AlphaCNOT: Learning CNOT Minimization with Model-Based Planning

    Apr 15, 2026Jacopo Cossio, Daniele Lizzio Bosco, Riccardo Romanello +2Quantum Circuit OptimizationQuantum Circuit Synthesis

  16. QFlowNet: Fast, Diverse, and Efficient Unitary Synthesis with Generative Flow Networks

    Mar 3, 2026Inhoe Koo, Hyunho Cha, Jungwoo LeeQuantum Circuit SynthesisQuantum Circuit Compilation

  17. Structured Unitary Tensor Network Representations for Circuit-Efficient Quantum Data Encoding

    Feb 18, 2026Guang Lin, Toshihisa Tanaka, Qibin ZhaoQuantum Data EncodingQuantum Machine Learning

  18. Beyond Reinforcement Learning: Fast and Scalable Quantum Circuit Synthesis

    Feb 16, 2026Lukas Theißinger, Thore Gerlach, David Berghaus +1Quantum Circuit SynthesisQuantum Circuit Compilation

  19. Qute: Towards Quantum-Native Database

    Feb 16, 2026Muzhi Chen, Xuanhe Zhou, Wei Zhou +7Relational DatabasesQuantum Circuit Compilation

  20. Shuttling Compiler for Trapped-Ion Quantum Computers Based on Fine-Tuned Large Language Models

    Dec 19, 2025Fabian Kreppel, Reza Salkhordeh, Ferdinand Schmidt-Kaler +1Quantum Circuit CompilationLLM Fine-Tuning