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Generation and Coherent Control of Pulsed Quantum Frequency Combs
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Quantum Memristors in Frequency-Entangled Optical Fields.

Tasio Gonzalez-Raya1, Joseph M Lukens2, Lucas C Céleri1,3

  • 1Department of Physical Chemistry, University of the Basque Country UPV/EHU, Apartado 644, 48080 Bilbao, Spain.

Materials (Basel, Switzerland)
|February 21, 2020
PubMed
Summary
This summary is machine-generated.

Researchers demonstrate a quantum memristor using frequency-entangled optical fields. This quantum device mimics classical memristor behavior, paving the way for quantum neural networks.

Keywords:
memristive systemsquantum memristorsquantum neural networksquantum photonics

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Area of Science:

  • Quantum physics
  • Quantum photonics
  • Quantum computing

Background:

  • A quantum memristor is a passive resistive circuit element with memory, engineered in a quantum platform.
  • It can be modeled as a quantum system coupled to a dissipative environment via weak measurements and classical feedback.
  • Previous implementations in quantum photonics utilized tunable beam splitters.

Purpose of the Study:

  • To demonstrate a quantum memristor implementation using frequency-entangled optical fields.
  • To show that this implementation can reproduce the characteristic hysteretic behavior of classical memristors.
  • To explore its potential as a building block for quantum neural networks.

Main Methods:

  • Utilizing frequency-entangled optical fields and a frequency mixer.
  • The frequency mixer acts similarly to a beam splitter, producing state superpositions.
  • Analyzing the system's response with respect to control for different experimentally attainable states.

Main Results:

  • Successfully implemented a quantum memristor using frequency-entangled light.
  • Reproduced the characteristic hysteretic behavior of memristors.
  • Demonstrated the potential for memory effects in quantum photonic devices.

Conclusions:

  • Frequency-entangled optical fields offer a viable platform for quantum memristor realization.
  • This work provides a foundation for developing quantum neural networks in quantum photonics.
  • The developed quantum memristor could be scaled up for advanced quantum computation.