:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Linsen, Anand, Pratyush, He, Kaiming, Englund, Dirk
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Quantum Physics
Online Access:	https://arxiv.org/abs/2405.16380
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Programmable Quantum Matter: Heralding Large Cluster States in Driven Inhomogeneous Spin Ensembles
by: Anand, Pratyush, et al.
Published: (2025)

Hardware Co-Designed Optimal Control for Programmable Atomic Quantum Processors via Reinforcement Learning
by: Ding, Qian, et al.
Published: (2025)

$\mathcal{O}(n)$ alternative to Quantum Fourier Transform with efficient neural net classical post-processing
by: Bian, Kaiming, et al.
Published: (2026)

Quantum-secure multiparty deep learning
by: Sulimany, Kfir, et al.
Published: (2024)

Quantum Deep Reinforcement Learning for Robot Navigation Tasks
by: Hohenfeld, Hans, et al.
Published: (2022)

A spin-optomechanical quantum interface enabled by an ultrasmall mechanical and optical mode volume cavity
by: Raniwala, Hamza, et al.
Published: (2022)

Microwave single-photon detection using a hybrid spin-optomechanical quantum interface
by: Anand, Pratyush, et al.
Published: (2024)

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

Covert Quantum Learning: Privately and Verifiably Learning from Quantum Data
by: Anand, Abhishek, et al.
Published: (2025)

A Survey on Quantum Reinforcement Learning
by: Meyer, Nico, 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)

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

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

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

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)

Quantum Dynamics of Machine Learning
by: Wang, Peng, et al.
Published: (2024)

Foundry-Enabled Patterning of Diamond Quantum Microchiplets for Scalable Quantum Photonics
by: Almutlaq, Jawaher, et al.
Published: (2026)

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

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

Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization
by: Kruse, Georg, et al.
Published: (2024)

Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
by: Meyer, Nico, et al.
Published: (2024)

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

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

Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits
by: Peng, Yifeng, et al.
Published: (2025)

Reinforcement Learning to Disentangle Multiqubit Quantum States from Partial Observations
by: Tashev, Pavel, et al.
Published: (2024)

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

Discovery of Optimal Quantum Error Correcting Codes via Reinforcement Learning
by: Su, Vincent Paul, et al.
Published: (2023)

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

A Resource Efficient Quantum Kernel
by: Singh, Utkarsh, et al.
Published: (2025)

Resource-Efficient Variational Quantum Classifier
by: Ptáček, Petr, et al.
Published: (2025)

Reinforcement Learning for Quantum Technology
by: Bukov, Marin, et al.
Published: (2026)

Extending a Quantum Reinforcement Learning Exploration Policy with Flags to Connect Four
by: Santos, Filipe, et al.
Published: (2025)

Variational Quantum Circuit-Based Reinforcement Learning for Dynamic Portfolio Optimization
by: Gurgul, Vincent, et al.
Published: (2026)

Quantum Advantage Actor-Critic for Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)

Model-based Offline Quantum Reinforcement Learning
by: Eisenmann, Simon, et al.
Published: (2024)

Quantum Advantage in Multi Agent Reinforcement Learning
by: Dahia, Simranjeet Singh, et al.
Published: (2026)

Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
by: Franz, Maja, et al.
Published: (2024)

Quantum-Inspired Reinforcement Learning for Secure and Sustainable AIoT-Driven Supply Chain Systems
by: Dastagir, Muhammad Bilal Akram, et al.
Published: (2026)