Hybrid quantum-classical convolutional neural networks
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Several quantum machine learning algorithms based on parameterized quantum circuits have demonstrated superior performance and computational abilities compared to conventional algorithms.
“Several QML algorithms based on PQC have been proposed [21–27], demonstrating superior performance and computational abilities compared to conventional algorithms [28–31].”
From Medical image diagnosis based on adaptive Hybrid Quantum CNN (2023) · cites this paper as [28]
Cites
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Strong Quantum Computational Advantage Using a Superconducting Quantum Processor
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Self-citationRealization of an Error-Correcting Surface Code with Superconducting Qubits
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Self-citationOn Circuit-Based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification
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Medical image diagnosis based on adaptive Hybrid Quantum CNN
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- Authors
- Liu, J., Lim, K. H., Wood, K. L., Huang, W., Guo, C., & Huang, H.-L.
- Affiliations
- Singapore University of Technology and Design (SG)
- University of Colorado Denver (US)
- Guangxi Key Laboratory of Optoelectronic Information Processing (CN)
- Hunan Normal University (CN)
- University of Science and Technology of China (CN)
- Corresponding author
- Guo, Chu
- Huang, He-Liang
- Venue
- Science China Physics, Mechanics & Astronomy
- Published
- 2021-08-04
- Volume
- 64
- Issue
- 9
- ISSN
- 1869-1927 (ISSN-L)
- 1674-7348
- OpenAlex
- W2989257188
- Cited by
- 289
- References
- 16
- Citations by year
- 2026: 54 · 2025: 76 · 2024: 57 · 2023: 44 · 2022: 37 · 2021: 17 · 2020: 4
- FWCI
- 13.69
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Science China Physics Mechanics and Astronomy (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum many-body systems
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Keywords
- hybrid quantum-classical neural networks, quantum convolutional neural networks, NISQ devices, gradient computation, feature mapping, image classification, quantum machine learning
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