Quantum Circuit Synthesis

Latest papers

19 papers1 paper in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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
AG-CoT: Verified Algorithmic Traces for LLM Program Synthesis on Clifford Circuits
Sep 27, 2026Lu Wei, Yufeng Wang, Chenfeng Cao +2CoT Supervision LLM-Based Program Synthesis
Data Science Department, Stony Brook University · Department of Computer Science, Stony Brook University · Dahlem Center for Complex Quantum Systems, Freie Universität Berlin +1
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
Learning to Prepare Molecular Ground States with Transformer Models
Jul 24, 2026Alex Koziell-Pipe, Jasmine Brewer, Jem Guhit +14Quantum Chemistry Quantum State Preparation
1Quantinuum, London, UK. · 3NVIDIA Corporation, Santa Clara, CA, USA. · 2Quantinuum, Cambridge, UK. +2
DQAOA-GPT: AI-Accelerated Distributed Quantum Optimization for Combinatorial Problems
Jul 22, 2026Seongmin Kim, Abhinav Rijal, Yuri Alexeev +5Distributed Optimization Combinatorial Optimization
National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA · Department of Physics & Astronomy, University of Tennessee, Knoxville, TN, USA · NVIDIA Corporation, Santa Clara, CA, USA +3
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)
Lie Group Diffusion Models for Hardware-Aware Quantum Circuit Synthesis
Jun 28, 2026Jyotirmai SinghQuantum Circuit Compilation Quantum Circuit Synthesis
Department of Physics, Stanford University
Aligning Quantum Operators with Large Language Models
Jun 11, 2026Rogerio Feris, Yunchao Liu, Pengyuan Li +2Quantum Machine Learning Quantum Circuit Synthesis
*MIT-IBM Computing Research Lab · † IBM Quantum
Physics Guided Generative Optimization for Trotter Suzuki Decomposition
May 13, 2026WenBin YanQuantum Circuit Optimization Quantum Circuit Compilation
University of Colorado Boulder[quant-ph]
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
From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data
May 2, 2026King Yiu Yu, Aritra Sarkar, Erbing Hua +3Quantum Circuit Compilation Quantum Generative Modeling
1Quantum and Computer Engineering, Delft University of Technology, The Netherlands · 2QuTech, Delft University of Technology, The Netherlands · 3Kavli Institute of Nanoscience Delft, Delft University of Technology, The Netherlands
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 of Udine & University “Federico II” of Naples, Italy
SpinGQE: A Generative Quantum Eigensolver for Spin Hamiltonians
Mar 25, 2026Alexander Holden, Moinul Hossain Rahat, Nii Osae Osae DadeQuantum Circuit Synthesis Variational Quantum Algorithms
Mindbeam AI† · Department of Computer and Data Sciences, Case Western Reserve University
Generative AI for Quantum Circuits and Quantum Code: A Technical Review and Taxonomy
Mar 17, 2026Juhani MerilehtoQuantum Circuit Synthesis Quantum Generative Modeling
University of Vaasa & University of Turku
QFlowNet: Fast, Diverse, and Efficient Unitary Synthesis with Generative Flow Networks
Mar 3, 2026Inhoe Koo, Hyunho Cha, Jungwoo LeeQuantum Circuit Synthesis Quantum Circuit Compilation
NextQuantum, Seoul National University, Republic of Korea
Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study
Feb 18, 2026Gerhard Stenzel, Isabella Debelic, Michael Kölle +4Quantum Circuit Synthesis Quantum State Preparation
LMU Munich Department of Computer Science Chair of Mobile and Distributed Systems
Beyond Reinforcement Learning: Fast and Scalable Quantum Circuit Synthesis
Feb 16, 2026Lukas Theißinger, Thore Gerlach, David Berghaus +1Quantum Circuit Synthesis Quantum Circuit Compilation
University of Bonn · European Space Agency, Advanced Concepts Team · Fraunhofer IAIS
Reinforcement Learning to Disentangle Multiqubit Quantum States from Partial Observations
Jun 12, 2024Pavel Tashev, Stefan Petrov, Matthew T. Diaz +4Quantum State Preparation Quantum Circuit Synthesis
Department of Mathematics and Informatics, St. Kliment Ohridski University of Sofia, 5 James Bourchier Blvd, 1164 Sofia, Bulgaria · Joint Quantum Institute and Department of Physics, University of Maryland, College Park, Maryland 20742, USA · National Quantum Laboratory (QLab), University of Maryland, College Park, MD 20742 USA +4

Oct 15, 2026J/K move · Enter open · S save

Discovering state-of-the-art quantum circuits with large language models

Andi Gu, Alek H. Kemeny, Susanne F. Yelin, Mikhail D. Lukin

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

Quantum Circuit Optimization Quantum Circuit Synthesis Large Language Model-Guided Optimization

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Significant efforts are currently being directed toward the implementation of large-scale quantum information processors, but realizing useful quantum advantage also requires the development of efficient quantum algorithms. While for many practical problems the dominant resource costs are associated with a small set of computational primitives, optimizing them in the quantum setting presents unique challenges, including a reversibility constraint absent from ordinary classical computation. Here we introduce an evolutionary framework in which large language models (LLMs) propose circuit designs and an independent evaluator verifies and scores them. We apply this framework to tasks spanning numerical computation, chemistry, optimization, quantum simulation, and number theory. In seven of the eight tasks, the discovered circuits significantly reduce both Toffoli and qubit counts relative to the state of the art. In the eighth, the search discovers a new reversible architecture for prime-field modular inversion. By handling reversibility differently, the architecture makes divsteps -- a classical algorithm previously impractical for reversible integer arithmetic -- viable and substantially improves the Toffoli-qubit trade-off for modular inversion. These results open the door for evaluator-guided LLM co-design of new algorithmic structures for quantum computation.