Fock state-enhanced expressivity of quantum machine learning models

  title={Fock state-enhanced expressivity of quantum machine learning models},
  author={Beng Yee Gan and Daniel Leykam and D. G. Angelakis},
  journal={EPJ Quantum Technology},
The data-embedding process is one of the bottlenecks of quantum machine learning, potentially negating any quantum speedups. In light of this, more effective data-encoding strategies are necessary. We propose a photonic-based bosonic data-encoding scheme that embeds classical data points using fewer encoding layers and circumventing the need for nonlinear optical components by mapping the data points into the high-dimensional Fock space. The expressive power of the circuit can be controlled via… 

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