Universal discriminative quantum neural networks

@article{Chen2021UniversalDQ,
  title={Universal discriminative quantum neural networks},
  author={H. Chen and L. Wossnig and S. Severini and H. Neven and M. Mohseni},
  journal={Quantum Mach. Intell.},
  year={2021},
  volume={3},
  pages={1-11}
}
  • H. Chen, L. Wossnig, +2 authors M. Mohseni
  • Published 2021
  • Computer Science, Mathematics, Physics
  • Quantum Mach. Intell.
  • Quantum mechanics fundamentally forbids deterministic discrimination of quantum states and processes. However, the ability to optimally distinguish various classes of quantum data is an important primitive in quantum information science. In this work, we train near-term quantum circuits to classify data represented by non-orthogonal quantum probability distributions using the Adam stochastic optimization algorithm. This is achieved by iterative interactions of a classical device with a quantum… CONTINUE READING
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