Quantum Control and Machine Learning in Quantum Technology
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Dynamical Systems".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 1832
Special Issue Editors
Interests: quantum control; machine learning; quantum optics; quantum computing; superconducting circuits
2. Department of Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany
Interests: machine learning; quantum feedback control; quantum computing; quantum error correction
Special Issue Information
Dear Colleagues,
Quantum control refers to the manipulation and control of quantum systems to achieve specific objectives such as enhancing coherence or preparing desired dynamics. It plays a critical role in regulating dynamic processes in various fields, such as quantum optical systems, quantum computing, and other quantum technology applications, by mitigating the effects of noise and decoherence. In recent years, machine learning optimization techniques have become increasingly popular in this field, particularly in the optimization of complex and time-consuming quantum control protocols. Researchers have made noteworthy strides in quantum control by applying classical machine learning to iteratively enhance control strategies and learn from data. Quantum machine learning, on the other hand, aims to leverage the unique properties of quantum computing, such as superposition and entanglement, to develop novel approaches for tasks such as data classification, regression, and clustering, further refining machine learning protocols. The confluence of quantum control and machine learning with quantum technologies provides a fertile ground for future research and innovation. To this end, an open-access Special Issue has been launched, which aims to merge recent advances in cutting-edge machine learning and quantum control techniques for quantum optics, quantum computing, and beyond.
Dr. Bijita Sarma
Dr. Sangkha Borah
Guest Editors
Manuscript Submission Information
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Keywords
- quantum control in quantum optics
- quantum computing
- machine learning
- reinforcement learning
- optimal control
- quantum feedback control
- quantum machine learning
- variational quantum algorithms
- classical and quantum machine learning applied to quantum optics and quantum computing
- quantum circuit optimisation
- quantum control for metrology
