Saved in:
| Main Author: | BAQIS Quafu Group |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2305.17966 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation
by: Altrabulsi, Mohamed Khair, et al.
Published: (2026)
by: Altrabulsi, Mohamed Khair, et al.
Published: (2026)
Exploiting Reset Operations in Cloud-based Quantum Computers to Run Quantum Circuits for Free
by: Szefer, Jakub
Published: (2025)
by: Szefer, Jakub
Published: (2025)
Three Months in the Life of Cloud Quantum Computing
by: Teegarden, Darrell, et al.
Published: (2026)
by: Teegarden, Darrell, et al.
Published: (2026)
Adaptive Job Scheduling in Quantum Clouds Using Reinforcement Learning
by: Luo, Waylon, et al.
Published: (2025)
by: Luo, Waylon, et al.
Published: (2025)
Trustworthy Computing using Untrusted Cloud-Based Quantum Hardware
by: Upadhyay, Suryansh, et al.
Published: (2023)
by: Upadhyay, Suryansh, et al.
Published: (2023)
Detecting Entanglement Generating Circuits in Cloud-Based Quantum Computing
by: Seong, Jiheon, et al.
Published: (2021)
by: Seong, Jiheon, et al.
Published: (2021)
Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing
by: Braniff, Austin, et al.
Published: (2026)
by: Braniff, Austin, et al.
Published: (2026)
Qonductor: A Cloud Orchestrator for Quantum Computing
by: Giortamis, Emmanouil, et al.
Published: (2024)
by: Giortamis, Emmanouil, et al.
Published: (2024)
Compiler Optimization for Quantum Computing Using Reinforcement Learning
by: Quetschlich, Nils, et al.
Published: (2022)
by: Quetschlich, Nils, et al.
Published: (2022)
Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers
by: Li, Yingheng, et al.
Published: (2024)
by: Li, Yingheng, et al.
Published: (2024)
Benchmarking Quantum Reinforcement Learning
by: Kruse, Georg, et al.
Published: (2025)
by: Kruse, Georg, et al.
Published: (2025)
DeepQuantum: A PyTorch-based Software Platform for Quantum Machine Learning and Photonic Quantum Computing
by: He, Jun-Jie, et al.
Published: (2025)
by: He, Jun-Jie, et al.
Published: (2025)
Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach
by: Promponas, Panagiotis, et al.
Published: (2024)
by: Promponas, Panagiotis, et al.
Published: (2024)
Quantum Searchable Encryption for Cloud Data Based on Full-Blind Quantum Computation
by: Liu, Wenjie, et al.
Published: (2023)
by: Liu, Wenjie, et al.
Published: (2023)
Quantum Computers, Quantum Computing and Quantum Thermodynamics
by: Cleri, Fabrizio
Published: (2024)
by: Cleri, Fabrizio
Published: (2024)
Quantum Computation and Quantum Simulation with Ultracold Molecules
by: Cornish, Simon L., et al.
Published: (2024)
by: Cornish, Simon L., et al.
Published: (2024)
Model-based Offline Quantum Reinforcement Learning
by: Eisenmann, Simon, et al.
Published: (2024)
by: Eisenmann, Simon, et al.
Published: (2024)
Mechanical Resonator-based Quantum Computing
by: Yang, Yu, et al.
Published: (2026)
by: Yang, Yu, et al.
Published: (2026)
Noise-Resilient Quantum Reinforcement Learning
by: Yue, Jing-Ci, et al.
Published: (2025)
by: Yue, Jing-Ci, et al.
Published: (2025)
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
by: Kruse, Georg, et al.
Published: (2023)
by: Kruse, Georg, et al.
Published: (2023)
QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train
by: Liu, Chen-Yu, et al.
Published: (2024)
by: Liu, Chen-Yu, et al.
Published: (2024)
Challenge-Response Quantum Reinforcement Learning with Application to Quantum-Assisted Authentication
by: Kaldari, Jawaher, et al.
Published: (2026)
by: Kaldari, Jawaher, et al.
Published: (2026)
Benchmarking Quantum Reinforcement Learning
by: Meyer, Nico, et al.
Published: (2025)
by: Meyer, Nico, et al.
Published: (2025)
QNN-QRL: Quantum Neural Network Integrated with Quantum Reinforcement Learning for Quantum Key Distribution
by: Behera, Bikash K., et al.
Published: (2025)
by: Behera, Bikash K., et al.
Published: (2025)
Hamiltonian-based Quantum Reinforcement Learning for Neural Combinatorial Optimization
by: Kruse, Georg, et al.
Published: (2024)
by: Kruse, Georg, et al.
Published: (2024)
Comparison of Cloud-Based Ion Trap and Superconducting Quantum Computer Architectures
by: Blinov, S., et al.
Published: (2021)
by: Blinov, S., et al.
Published: (2021)
Quantum noise modeling through Reinforcement Learning
by: Bordoni, Simone, et al.
Published: (2024)
by: Bordoni, Simone, et al.
Published: (2024)
Reinforcement Learning for Quantum Technology
by: Bukov, Marin, et al.
Published: (2026)
by: Bukov, Marin, et al.
Published: (2026)
QSRA: A QPU Scheduling and Resource Allocation Approach for Cloud-Based Quantum Computing
by: Lu, Binhan, et al.
Published: (2024)
by: Lu, Binhan, et al.
Published: (2024)
The effect of Quantum Time Crystal Computing to Quantum Machine Learning methods
by: Wakaura, Hikaru, et al.
Published: (2025)
by: Wakaura, Hikaru, et al.
Published: (2025)
Quantum Computation
by: Sanders, Barry C
Published: (2024)
by: Sanders, Barry C
Published: (2024)
Reinforcement Learning Control of Quantum Error Correction
by: Sivak, Volodymyr, et al.
Published: (2025)
by: Sivak, Volodymyr, et al.
Published: (2025)
A Triple-Hybrid Quantum Support Vector Machine Using Classical, Quantum Gate-based and Quantum Annealing-based Computing
by: Boschero, Juan C., et al.
Published: (2025)
by: Boschero, Juan C., et al.
Published: (2025)
Cloud-based Semi-Quantum Money
by: Zhang, Yichi, et al.
Published: (2024)
by: Zhang, Yichi, et al.
Published: (2024)
Quantum Measurement for Quantum Chemistry on a Quantum Computer
by: Patel, Smik, et al.
Published: (2025)
by: Patel, Smik, et al.
Published: (2025)
Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits
by: Lee, Yu-Ting, et al.
Published: (2026)
by: Lee, Yu-Ting, et al.
Published: (2026)
Powering Quantum Computation with Quantum Batteries
by: Kurman, Yaniv, et al.
Published: (2025)
by: Kurman, Yaniv, et al.
Published: (2025)
Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning
by: Qi, Jun, et al.
Published: (2024)
by: Qi, Jun, et al.
Published: (2024)
Quantum Data Breach: Reusing Training Dataset by Untrusted Quantum Clouds
by: Upadhyay, Suryansh, et al.
Published: (2024)
by: Upadhyay, Suryansh, et al.
Published: (2024)
Optimizing Resource Allocation in a Distributed Quantum Computing Cloud: A Game-Theoretic Approach
by: Sane, Bernard Ousmane, et al.
Published: (2025)
by: Sane, Bernard Ousmane, et al.
Published: (2025)
Similar Items
-
Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation
by: Altrabulsi, Mohamed Khair, et al.
Published: (2026) -
Exploiting Reset Operations in Cloud-based Quantum Computers to Run Quantum Circuits for Free
by: Szefer, Jakub
Published: (2025) -
Three Months in the Life of Cloud Quantum Computing
by: Teegarden, Darrell, et al.
Published: (2026) -
Adaptive Job Scheduling in Quantum Clouds Using Reinforcement Learning
by: Luo, Waylon, et al.
Published: (2025) -
Trustworthy Computing using Untrusted Cloud-Based Quantum Hardware
by: Upadhyay, Suryansh, et al.
Published: (2023)