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Bibliographic Details
Main Authors:	Kulshrestha, Ankit, Liu, Xiaoyuan
Format:	Preprint
Published:	2026
Subjects:	Quantum Physics Machine Learning
Online Access:	https://arxiv.org/abs/2605.13638
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QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning
by: Nguyen, Kien X., et al.
Published: (2026)

QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits
by: Kulshrestha, Ankit, et al.
Published: (2024)

Reinforcement Learning Generation of 4-Qubits Entangled States
by: Giordano, Sara, et al.
Published: (2022)

Scalable Quantum Reinforcement Learning on NISQ Devices with Dynamic-Circuit Qubit Reuse and Grover Optimization
by: Su, Thet Htar, et al.
Published: (2025)

On the importance of hyperparameters in initializing parameterized quantum circuits
by: Kulshrestha, Ankit, et al.
Published: (2026)

A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
by: Cowlessur, Hevish, et al.
Published: (2025)

QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks
by: Xu, Hanjing, et al.
Published: (2025)

Data-Driven Hamiltonian Reduction for Superconducting Qubits via Meta-Learning
by: Sanford, Arielle, et al.
Published: (2026)

Data-Driven Qubit Characterization and Optimal Control using Deep Learning
by: Surrey, Paul, et al.
Published: (2026)

Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach
by: Nguyen, Kien X., et al.
Published: (2025)

Separating Ansatz Discovery from Deployment on Larger Problems: Reinforcement Learning for Modular Circuit Design
by: Turati, Gloria, et al.
Published: (2025)

Quantum Annealing for Minimum Bisection Problem: A Machine Learning-based Approach for Penalty Parameter Tuning
by: Rusnáková, Renáta, et al.
Published: (2025)

An Information-Minimal Geometry for Qubit-Efficient Optimization
by: Ma, Gordon, et al.
Published: (2025)

From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks
by: Ceschini, Andrea, et al.
Published: (2024)

A Survey on Quantum Reinforcement Learning
by: Meyer, Nico, et al.
Published: (2022)

Superconducting Qubit Readout Using Next-Generation Reservoir Computing
by: Kent, Robert, et al.
Published: (2025)

Quantum Semi-Random Forests for Qubit-Efficient Recommender Systems
by: Alavi, Azadeh, et al.
Published: (2025)

Quantum Feature Space of a Qubit Coupled to an Arbitrary Bath
by: Wise, Chris, et al.
Published: (2025)

Qubit-Wise Architecture Search Method for Variational Quantum Circuits
by: Chen, Jialin, et al.
Published: (2024)

Edge-Local and Qubit-Efficient Quantum Graph Learning for the NISQ Era
by: Ahmadkhaniha, Armin, et al.
Published: (2026)

A Strategy for Preparing Quantum Squeezed States Using Reinforcement Learning
by: Zhao, X. L., et al.
Published: (2024)

Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning
by: Giang, Le Tung, et al.
Published: (2025)

Benchmarking Quantum Reinforcement Learning
by: Meyer, Nico, et al.
Published: (2025)

LUNA: LUT-Based Neural Architecture for Fast and Low-Cost Qubit Readout
by: Farooq, M. A., et al.
Published: (2025)

Quantum Compiling with Reinforcement Learning on a Superconducting Processor
by: Wang, Z. T., et al.
Published: (2024)

A Simple Quantum Blockmodeling with Qubits and Permutations
by: Daskin, Ammar
Published: (2023)

Qubit-centric Transformer for Surface Code Decoding
by: Park, Seong-Joon, et al.
Published: (2025)

Optimizing ZX-Diagrams with Deep Reinforcement Learning
by: Nägele, Maximilian, et al.
Published: (2023)

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

Minor Embedding for Quantum Annealing with Reinforcement Learning
by: Nembrini, Riccardo, et al.
Published: (2025)

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

Reinforcement Learning for Parameterized Quantum State Preparation: A Comparative Study
by: Stenzel, Gerhard, et al.
Published: (2026)

Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
by: Xu, Yang, et al.
Published: (2025)

Dissecting Quantum Reinforcement Learning: A Systematic Evaluation of Key Components
by: Lazaro, Javier, et al.
Published: (2025)

Regression and Classification with Single-Qubit Quantum Neural Networks
by: Souza, Leandro C., et al.
Published: (2024)

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

Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning
by: Gerlach, Thore, et al.
Published: (2025)

Dynamic Inhomogeneous Quantum Resource Scheduling with Reinforcement Learning
by: Li, Linsen, et al.
Published: (2024)

A Modified Depolarization Approach for Efficient Quantum Machine Learning
by: Khanal, Bikram, et al.
Published: (2024)

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