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Quantum Neuromorphic Platform for Quantum State Preparation.

Sanjib Ghosh1,2, Tomasz Paterek1,2,3, Timothy C H Liew1,2

  • 1School of Physical and Mathematical Sciences, Nanyang Technological University, 637371 Singapore.

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|January 18, 2020
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Summary
This summary is machine-generated.

We developed a quantum neural network for preparing quantum states. This compact device uses optical input to generate states like single-photon and Schrödinger's cat states for quantum technologies.

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Area of Science:

  • Quantum information science
  • Quantum computing
  • Quantum optics

Background:

  • Quantum state preparation is crucial for quantum technologies.
  • Current methods can be complex and resource-intensive.

Purpose of the Study:

  • To develop a novel, compact quantum state preparation device.
  • To utilize a quantum neural network framework for state generation.

Main Methods:

  • A quantum reservoir state preparation scheme was developed.
  • The scheme employs a quantum neural network framework.
  • Classical optical excitation serves as the input.

Main Results:

  • The scheme successfully prepared various quantum states, including single-photon states.
  • Schrödinger's cat states and two-mode entangled states were also generated.
  • Theoretical demonstration of the scheme's broad potential was achieved.

Conclusions:

  • The proposed scheme offers a versatile approach to quantum state preparation.
  • This method can serve as a compact device for emerging quantum technologies.
  • The quantum neural network framework provides a powerful tool for quantum state engineering.