Exploiting Symmetry in Variational Quantum Machine Learning

Article Properties
Cite
Meyer, Johannes Jakob, et al. “Exploiting Symmetry in Variational Quantum Machine Learning”. PRX Quantum, vol. 4, no. 1, 2023, https://doi.org/10.1103/prxquantum.4.010328.
Meyer, J. J., Mularski, M., Gil-Fuster, E., Mele, A. A., Arzani, F., Wilms, A., & Eisert, J. (2023). Exploiting Symmetry in Variational Quantum Machine Learning. PRX Quantum, 4(1). https://doi.org/10.1103/prxquantum.4.010328
Meyer JJ, Mularski M, Gil-Fuster E, Mele AA, Arzani F, Wilms A, et al. Exploiting Symmetry in Variational Quantum Machine Learning. PRX Quantum. 2023;4(1).
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Science
Physics
Refrences
Title Journal Journal Categories Citations Publication Date
10.1007/978-3-319-48487-7 2017
10.1201/b19172 2016
Advances in Neural Information Processing Systems 2017
Backpropagation Applied to Handwritten Zip Code Recognition

 Neural Computation
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 4,423 1989
10.1103/RevModPhys.94.015004