Quantum Circuit Optimization

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22 papers4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Qubrio: High-Performance Quantum Compilation via Multi-Agent LLM Collaboration
Nov 1, 2026Jixuan Ruan, Zhuo Cui, Zhengding Hu +10Quantum Circuit Compilation Quantum Circuit Optimization
University of California, San Diego · Rice University · QuEra Computing Inc. +2
Fully quantum training of parametric circuits with Quantum Hamiltonian Descent
Oct 23, 2026Marco Burato, Leonardo BanchiQuantum Circuit Optimization Variational Quantum Algorithms
Department of Physics and Astronomy, University of Florence, via G. Sansone 1, I-50019 Sesto Fiorentino (FI), Italy · INFN Sezione di Firenze, via G. Sansone 1, I-50019, Sesto Fiorentino (FI), Italy
Discovering state-of-the-art quantum circuits with large language models
Oct 15, 2026Andi Gu, Alek H. Kemeny, Susanne F. Yelin +1Quantum Circuit Optimization Quantum Circuit Synthesis
Harvard Quantum Initiative for Science and Engineering, Cambridge, MA 02138, USA · Department of Physics, Harvard University, Cambridge, MA 02138, USA · Anthropic STEM Fellows Program +2
Same Spectrum, Harder First-Order Training: Phase-Locking in Single- versus Multi-Qubit Re-Uploading Circuits
Oct 15, 2026Michael Poppel, David Bucher, Maximilian Zorn +5Quantum Circuit Trainability Quantum Machine Learning
Department of Computer Science, LMU Munich, Germany · Aqarios GmbH, Munich, Germany
Bridge of $Ψ$ 's: Quantum Circuit Optimization with Schrödinger Bridges
Sep 22, 2026Lino S. Hofstetter, Lia Yeh, Prakash MuraliQuantum Circuit Optimization Quantum Circuit Compilation
ETH Zürich Zürich, Switzerland · University of Cambridge Cambridge, United Kingdom
LLM-Driven Algorithm Design for Quantum Circuit Synthesis based on Binary Decision Diagrams
Sep 4, 2026Yoonju Sim, Federico Berto, Chuanbo Hua +2Quantum Circuit Synthesis Quantum Circuit Optimization
Department of Industrial and Systems Engineering, KAIST, Daejeon, 34141, Republic of Korea · Radical Numerics, California, USA · Omelet, Inc., Daejeon, 34051, Republic of Korea
A 12-CNOT Double Qubit Excitation Gate
Aug 12, 2026Irfansha ShaikQuantum Circuit Optimization Quantum Circuit Synthesis
Kvantify Aps, Copenhagen, Denmark
Transpiler Autotuning with Predictive Models for Quantum Circuit Optimization
Jul 31, 2026Piotr Malkowski, Domenik Eichhorn, Joshua Ammermann +4Quantum Circuit Optimization Quantum Circuit Compilation
Karlsruhe Institute of Technology, Germany · Technical University of Munich, Germany
When Close Enough Is Not Enough: Autoregressive Drift in Quantum Circuit Synthesis
Jul 14, 2026Mehdi Saeedi, Eddie Richter, Paul HartkeQuantum Circuit Optimization Transformer
Advanced Micro Devices, Inc. (AMD)
Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing
Jun 11, 2026Yash Vardhan Tomar, Dheeraj PeddireddyReinforcement Learning Quantum Circuit Compilation
Purdue University West Lafayette, USA
Adaptive directional gradients for parameterised quantum circuits
Jun 8, 2026Brian Coyle, Snehal Raj, Virag Umathe +2Variational Quantum Circuits Adaptive Gradient Methods
School of Informatics, University of Edinburgh, Edinburgh, UK · LIP6, CNRS, Sorbonne Université, Paris, France · QC Ware, Palo Alto, USA and Paris, France +1
Physics Guided Generative Optimization for Trotter Suzuki Decomposition
May 13, 2026WenBin YanQuantum Circuit Optimization Quantum Circuit Compilation
University of Colorado Boulder[quant-ph]
QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning
May 12, 2026Kien X. Nguyen, Ankit Kulshrestha, Ilya Safro +1Quantum Circuit Compilation Combinatorial Optimization
Department of Computer and Information Sciences, University of Delaware, USA · Quantum Lab, Fujitsu Research of America, USA
Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis
May 11, 2026Richie Yeung, Aleks Kissinger, Rob CornishEquivariant Neural Networks Quantum Circuit Optimization
Department of Computer Science, University of Oxford · Quantinuum · College of Computing and Data Science, Nanyang Technological University, Singapore
Replay-buffer engineering for noise-aware quantum circuit optimization
Apr 23, 2026Akash Kundu, Sebastian FeldQuantum Architecture Search Reinforcement Learning
Delft University of Technology, Delft, The Netherlands · Quantum Computing Division, QuTech, The Netherlands
A four-player potential game for barren-plateau-aware quantum ansatz design
Apr 23, 2026Rubén Darío GuerreroQuantum Chemistry Barren Plateaus
Parametrized-QC-Graphs Project
AlphaCNOT: Learning CNOT Minimization with Model-Based Planning
Apr 15, 2026Jacopo Cossio, Daniele Lizzio Bosco, Riccardo Romanello +2Quantum Circuit Optimization Quantum Circuit Synthesis
University of Udine, Italy · University “Federico II” of Naples, Italy
Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning
Apr 9, 2026Ryo Suzuki, Shohei WatabeMax-Cut Quantum Circuit Optimization
Graduate School of Engineering and Science, Shibaura Institute of Technology, Toyosu 3-7-5, Tokyo 135-8548, Japan
Quantifying Gate Contribution in Quantum Feature Maps for Scalable Circuit Optimization
Mar 20, 2026F. Rodríguez-Díaz, D. Gutiérrez-Avilés, A. Troncoso +1Quantum Circuit Optimization Quantum Feature Maps
Data Science and Big Data Lab, Pablo de Olavide University, Seville, ES 41013, Spain · Department of Computer Science, University of Seville, Seville, ES 41012, Spain
How Far Can a Trainable Frequency Move? Resolution, Grids and Coupling in Trainable-FrequencyQuantum Models
Feb 26, 2026Michael Poppel, Markus Baumann, Sebastian Wölckert +2Quantum Machine Learning Variational Quantum Circuits
LMU Munich & Aqarios GmbH, Munich, Germany · LMU Munich, Munich, Germany
Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation Passes
Jan 29, 2026Daniel Mills, Ifan Williams, Jacob Swain +3Quantum Circuit Optimization Quantum Circuit Compilation
Quantinuum, Terrington House, 13–15 Hills Road, Cambridge CB2 1NL, United Kingdom · Quantinuum, Partnership House, Carlisle Place, London SW1P 1BX, United Kingdom
Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates
Dec 10, 2025Prashant Kumar Choudhary, Nouhaila Innan, Muhammad Shafique +1Bayesian Optimization Variational Quantum Circuits
Department of Physics, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India · eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE · Center for Quantum and Topological Systems (CQTS), NYUAD Research Institute, NYUAD, Abu Dhabi, UAE

Nov 1, 2026J/K move · Enter open · S save

Qubrio: High-Performance Quantum Compilation via Multi-Agent LLM Collaboration

Jixuan Ruan, Zhuo Cui, Zhengding Hu, Zhongkai Yu+9

University of California, San Diego · Rice University · QuEra Computing Inc.+2

Quantum Circuit Compilation Quantum Circuit Optimization Multi-Agent LLM Systems

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Large Language Models (LLMs) offer an adaptable alternative to traditional quantum compilation heuristics, which bottleneck progress by demanding costly manual redesigns whenever hardware evolves. However, naive single-pass LLM approaches fail under the unique challenges introduced by quantum compilation. We introduce Qubrio, a practical agentic framework that significantly reduces heuristic redesigns through a three-level decomposition. By (1) partitioning programs into sequential operation stages, (2) deploying specialized agents for placement, routing and optimization, and (3) using disaggregated feedback for precise error correction, our system reliably navigates complex physical constraints. Beyond serving as a direct compiler, our LLM framework also uncovers novel strategies that facilitate convoy-style shuttling, substantially enhancing hardware concurrency without sacrificing fidelity. We further integrate these strategies into the previous state-of-the-art (SOTA) compiler, recovering a significant fraction of the LLM's performance advantages. On realistic workloads, our compiler achieves significant improvements in hardware runtime and program fidelity over the SOTA baseline PowerMove, seamlessly adapting to new hardware capabilities. Qubrio features an open user interface for practical use, and its code is publicly available at https://github.com/crosaa/Qubrio.