Quantifying Quantum Coherence Using Machine Learning Methods
Abstract
:1. Introduction
2. Materials and Methods
2.1. The Robustness of Coherence
2.2. The Feedforward Neural Network
2.3. Data Preparation
3. Results
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Zhang, L.; Chen, L.; He, Q.; Zhang, Y. Quantifying Quantum Coherence Using Machine Learning Methods. Appl. Sci. 2024, 14, 7312. https://doi.org/10.3390/app14167312
Zhang L, Chen L, He Q, Zhang Y. Quantifying Quantum Coherence Using Machine Learning Methods. Applied Sciences. 2024; 14(16):7312. https://doi.org/10.3390/app14167312
Chicago/Turabian StyleZhang, Lin, Liang Chen, Qiliang He, and Yeqi Zhang. 2024. "Quantifying Quantum Coherence Using Machine Learning Methods" Applied Sciences 14, no. 16: 7312. https://doi.org/10.3390/app14167312