Hybrid Quantum-Classical Machine Learning with PennyLane: A Comprehensive Guide for Computational Research
Fuente:
arXiv
Saved in:
| Main Author: | Shapiro, Sidney |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pattern-Based File and Data Access with Python Glob: A Comprehensive Guide for Computational Research
by: Shapiro, Sidney
Published: (2025)
by: Shapiro, Sidney
Published: (2025)
A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG
by: Basit, Abdul, et al.
Published: (2025)
by: Basit, Abdul, et al.
Published: (2025)
HQPEF-Py: Metrics, Python Patterns, and Guidance for Evaluating Hybrid Quantum Programs
by: Osei, Michael Adjei, et al.
Published: (2025)
by: Osei, Michael Adjei, et al.
Published: (2025)
QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges
by: Basit, Abdul, et al.
Published: (2025)
by: Basit, Abdul, et al.
Published: (2025)
Failure-Guided Fuzzing for Hybrid Quantum-Classical Programs
by: Zhang, Lei
Published: (2026)
by: Zhang, Lei
Published: (2026)
PennyLane-Lightning MPI: A massively scalable quantum circuit simulator based on distributed computing in CPU clusters
by: Kang, Ji-Hoon, et al.
Published: (2025)
by: Kang, Ji-Hoon, et al.
Published: (2025)
When Quantum Meets Classical: Characterizing Hybrid Quantum-Classical Issues Discussed in Developer Forums
by: Zappin, Jake, et al.
Published: (2024)
by: Zappin, Jake, et al.
Published: (2024)
The Road to Hybrid Quantum Programs: Characterizing the Evolution from Classical to Hybrid Quantum Software
by: De Maio, Vincenzo, et al.
Published: (2025)
by: De Maio, Vincenzo, et al.
Published: (2025)
A Taxonomy of Real Faults in Hybrid Quantum-Classical Architectures
by: Bensoussan, Avner, et al.
Published: (2025)
by: Bensoussan, Avner, et al.
Published: (2025)
Trials and Tribulations of Developing Hybrid Quantum-Classical Microservices Systems
by: Rojo, Javier, et al.
Published: (2021)
by: Rojo, Javier, et al.
Published: (2021)
Software Architecture Challenges in Integrating Hybrid Classical-Quantum Systems
by: Stirbu, Vlad, et al.
Published: (2023)
by: Stirbu, Vlad, et al.
Published: (2023)
Hybrid quantum programming with PennyLane Lightning on HPC platforms
by: Asadi, Ali, et al.
Published: (2024)
by: Asadi, Ali, et al.
Published: (2024)
Machine Learning for Actionable Warning Identification: A Comprehensive Survey
by: Ge, Xiuting, et al.
Published: (2023)
by: Ge, Xiuting, et al.
Published: (2023)
Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey
by: Guo, Hongjing, et al.
Published: (2025)
by: Guo, Hongjing, et al.
Published: (2025)
Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities
by: Nadim, Md, et al.
Published: (2024)
by: Nadim, Md, et al.
Published: (2024)
Static Analysis Driven Enhancements for Comprehension in Machine Learning Notebooks
by: Venkatesh, Ashwin Prasad Shivarpatna, et al.
Published: (2023)
by: Venkatesh, Ashwin Prasad Shivarpatna, et al.
Published: (2023)
Quantum Software Engineering and Potential of Quantum Computing in Software Engineering Research: A Review
by: Mandal, Ashis Kumar, et al.
Published: (2025)
by: Mandal, Ashis Kumar, et al.
Published: (2025)
Qubernetes: Towards a Unified Cloud-Native Execution Platform for Hybrid Classic-Quantum Computing
by: Stirbu, Vlad, et al.
Published: (2024)
by: Stirbu, Vlad, et al.
Published: (2024)
Quantum Software Architecture Framework (QSAF): A Component-Based Framework for Designing Hybrid Quantum-Classical Systems
by: Kiwelekar, Arvind W., et al.
Published: (2026)
by: Kiwelekar, Arvind W., et al.
Published: (2026)
Constraint-Guided Unit Test Generation for Machine Learning Libraries
by: Krodinger, Lukas, et al.
Published: (2025)
by: Krodinger, Lukas, et al.
Published: (2025)
PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation
by: Basit, Abdul, et al.
Published: (2025)
by: Basit, Abdul, et al.
Published: (2025)
Hybrid Meta-Solving for Practical Quantum Computing
by: Eichhorn, Domenik, et al.
Published: (2024)
by: Eichhorn, Domenik, et al.
Published: (2024)
A Systematic Literature Review of the Use of GenAI Assistants for Code Comprehension: Implications for Computing Education Research and Practice
by: Qiao, Yunhan, et al.
Published: (2025)
by: Qiao, Yunhan, et al.
Published: (2025)
Mitigating Noise in Quantum Software Testing Using Machine Learning
by: Muqeet, Asmar, et al.
Published: (2023)
by: Muqeet, Asmar, et al.
Published: (2023)
Assessing Quantum Extreme Learning Machines for Software Testing in Practice
by: Muqeet, Asmar, et al.
Published: (2024)
by: Muqeet, Asmar, et al.
Published: (2024)
SwarmUpdate: Hierarchical Software Updates and Deep Learning Model Patching for Heterogeneous UAV Swarms
by: Geng, Lin, et al.
Published: (2025)
by: Geng, Lin, et al.
Published: (2025)
C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development
by: Ye, Boshuai, et al.
Published: (2025)
by: Ye, Boshuai, et al.
Published: (2025)
Completion by Comprehension: Guiding Code Generation with Multi-Granularity Understanding
by: Zhao, Xinkui, et al.
Published: (2025)
by: Zhao, Xinkui, et al.
Published: (2025)
A Machine Learning-Based Error Mitigation Approach For Reliable Software Development On IBM'S Quantum Computers
by: Muqeet, Asmar, et al.
Published: (2024)
by: Muqeet, Asmar, et al.
Published: (2024)
Quantum Machine Learning-based Test Oracle for Autonomous Mobile Robots
by: Wang, Xinyi, et al.
Published: (2025)
by: Wang, Xinyi, et al.
Published: (2025)
A Hybrid Execution Environment for Computer-Interpretable Guidelines in PROforma
by: Kogan, Alexandra, et al.
Published: (2024)
by: Kogan, Alexandra, et al.
Published: (2024)
A Multi-Agent Framework for Automated Exploit Generation with Constraint-Guided Comprehension and Reflection
by: Chen, Siyi, et al.
Published: (2026)
by: Chen, Siyi, et al.
Published: (2026)
Lessons from a Big-Bang Integration: Challenges in Edge Computing and Machine Learning
by: Aneggi, Alessandro, et al.
Published: (2025)
by: Aneggi, Alessandro, et al.
Published: (2025)
Computation Tree Logic Guided Program Repair
by: Liu, Yu, et al.
Published: (2025)
by: Liu, Yu, et al.
Published: (2025)
A Hybrid, Knowledge-Guided Evolutionary Framework for Personalized Compiler Auto-Tuning
by: Pan, Haolin, et al.
Published: (2025)
by: Pan, Haolin, et al.
Published: (2025)
C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development -- RCR Report
by: Ye, Boshuai, et al.
Published: (2026)
by: Ye, Boshuai, et al.
Published: (2026)
A Comprehensive Study of Machine Learning Techniques for Log-Based Anomaly Detection
by: Ali, Shan, et al.
Published: (2023)
by: Ali, Shan, et al.
Published: (2023)
Application of Quantum Extreme Learning Machines for QoS Prediction of Elevators' Software in an Industrial Context
by: Wang, Xinyi, et al.
Published: (2024)
by: Wang, Xinyi, et al.
Published: (2024)
HF-DGF: Hybrid Feedback Guided Directed Grey-box Fuzzing
by: Lyu, Guangfa, et al.
Published: (2025)
by: Lyu, Guangfa, et al.
Published: (2025)
Hybrid Concolic Testing with Large Language Models for Guided Path Exploration
by: Eslamimehr, Mahdi
Published: (2026)
by: Eslamimehr, Mahdi
Published: (2026)
Similar Items
-
Pattern-Based File and Data Access with Python Glob: A Comprehensive Guide for Computational Research
by: Shapiro, Sidney
Published: (2025) -
A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG
by: Basit, Abdul, et al.
Published: (2025) -
HQPEF-Py: Metrics, Python Patterns, and Guidance for Evaluating Hybrid Quantum Programs
by: Osei, Michael Adjei, et al.
Published: (2025) -
QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges
by: Basit, Abdul, et al.
Published: (2025) -
Failure-Guided Fuzzing for Hybrid Quantum-Classical Programs
by: Zhang, Lei
Published: (2026)