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Bibliographic Details
Main Authors:	Wang, Zhiyuan, Feng, Chunlin, Poon, Christopher, Huang, Lijian, Zhao, Xingjian, Ma, Yao, Fu, Tianfan, Liu, Xiao-Yang
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Artificial Intelligence
Online Access:	https://arxiv.org/abs/2501.16509
Tags:	Add Tag No Tags, Be the first to tag this record!

Quantum Circuit Representation of Combinatorial Matrix Functions
by: Kang, Minhyeok, et al.
Published: (2026)

Reinforcement Learning for Variational Quantum Circuits Design
by: Foderà, Simone, et al.
Published: (2024)

Challenges for Reinforcement Learning in Quantum Circuit Design
by: Altmann, Philipp, et al.
Published: (2023)

Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
by: Kruse, Georg, et al.
Published: (2023)

Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits
by: Lee, Yu-Ting, et al.
Published: (2026)

Dictionary-based Block Encoding of Sparse Matrices with Low Subnormalization and Circuit Depth
by: Yang, Chunlin, et al.
Published: (2024)

Quantum Data Representation via Circuit Partitioning and Reintegration
by: Guo, Ziqing, et al.
Published: (2025)

Binary Tree Block Encoding of Classical Matrix
by: Li, Zexian, et al.
Published: (2025)

Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning
by: Suzuki, Ryo, et al.
Published: (2026)

Advantage Distillation for Quantum Key Distribution
by: Du, Zhenyu, et al.
Published: (2024)

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design
by: Wang, Dannong, et al.
Published: (2024)

Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)

How to Design a Classically Difficult Random Quantum Circuit for Quantum Computational Advantage Experiments
by: Huang, He-Liang, et al.
Published: (2025)

Universal Matrix Multiplication on Quantum Computer
by: Yao, Jiaqi, et al.
Published: (2024)

Quantum Circuits for Matrix-Product Unitaries
by: Styliaris, Georgios, et al.
Published: (2025)

A Parallel Hybrid Quantum‐Classical Convolutional Design Using Parameterized Quantum Circuits for Image Classification
by: Haoxuan Liu, et al.
Published: (2026)

Quantum Simulations Based on Parameterized Circuit of an Antisymmetric Matrix
by: Daskin, Ammar
Published: (2025)

Unitary Synthesis of Clifford+T Circuits with Reinforcement Learning
by: Rietsch, Sebastian, et al.
Published: (2024)

Tangent Space Excitation Ansatz for Quantum Circuits
by: Chen, Ji-Yao, et al.
Published: (2025)

Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis
by: Yeung, Richie, et al.
Published: (2026)

Automated Discovery of Gadgets in Quantum Circuits for Efficient Reinforcement Learning
by: Yevtushenko, Oleg M., et al.
Published: (2025)

FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation
by: Wang, Dannong, et al.
Published: (2024)

Quantum Circuit AutoEncoder
by: Wu, Jun, et al.
Published: (2023)

Quantum Circuit Implementation of Two Matrix Product Operations and Elementary Column Transformations
by: Liu, Yu-Hang, et al.
Published: (2025)

Benchmarking Quantum Circuit Transformation with QKNOB Circuits
by: Li, Sanjiang, et al.
Published: (2023)

SurgeQ: A Hybrid Framework for Ultra-Fast Quantum Processor Design and Crosstalk-Aware Circuit Execution
by: Chen, Xinxuan, et al.
Published: (2026)

Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks
by: Mattick, Alexander, et al.
Published: (2025)

Mixed-Signal Quantum Circuit Design for Option Pricing Using Design Compiler
by: Kao, Yu-Ting, et al.
Published: (2025)

Quantum Circuit Design for Decoded Quantum Interferometry
by: Patamawisut, Natchapol, et al.
Published: (2025)

Beyond Reinforcement Learning: Fast and Scalable Quantum Circuit Synthesis
by: Theißinger, Lukas, et al.
Published: (2026)

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
by: Kölle, Michael, et al.
Published: (2024)

Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation Passes
by: Mills, Daniel, et al.
Published: (2026)

Gate Sequence Optimization for Parameterized Quantum Circuits using Reinforcement Learning
by: Rieckmann, Tom R., et al.
Published: (2025)

Scaling the Automated Discovery of Quantum Circuits via Reinforcement Learning with Gadgets
by: Olle, Jan, et al.
Published: (2025)

Reinforcement Learning Based Quantum Circuit Optimization via ZX-Calculus
by: Riu, Jordi, et al.
Published: (2023)

A Tensor Network based Decision Diagram for Representation of Quantum Circuits
by: Hong, Xin, et al.
Published: (2020)

Learning the Expressibility of Quantum Circuit Ansatz Using Transformer
by: Fei Zhang, et al.
Published: (2025)

Probabilistic Representation of Commutative Quantum Circuit Models
by: Yu, Richard, et al.
Published: (2024)

Approaching the Multiparameter Quantum Cramér-Rao Bound via Classical Correlation and Entangling Measurements
by: Mi, Minghao, et al.
Published: (2025)

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