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Quantum state processing through controllable synthetic temporal photonic lattices.

Monika Monika1,2, Farzam Nosrati2,3, Agnes George2

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Researchers demonstrate a scalable quantum processor using photonic platforms for quantum computing. This fiber-loop system enables dynamic control of quantum walks, enhancing quantum information processing and enabling new applications.

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Area of Science:

  • Quantum Information Science
  • Photonic Quantum Computing
  • Quantum Simulation

Background:

  • Quantum walks on photonic platforms offer a powerful framework for quantum computation and simulation.
  • Dynamic reconfigurability of photonic circuits is crucial for controlling quantum walks and unlocking their full potential.
  • Previous quantum processing schemes using time-bin encoding in fiber loops faced challenges due to gate inefficiencies.

Purpose of the Study:

  • To present a scalable quantum processor based on discrete-time quantum walks.
  • To demonstrate dynamic control over quantum walks using a programmable temporal photonic lattice.
  • To showcase applications in quantum state operations, entanglement generation, and interference.

Main Methods:

  • Implementation of a discrete-time quantum walk using time-bin-entangled photon pairs.
  • Utilizing a coupled fiber-loop system to create synthetic temporal photonic lattices.
  • Employing a programmable temporal photonic lattice for dynamic control of quantum walk dynamics.

Main Results:

  • Successful generation of two- and four-level time-bin entanglement and two-photon interference.
  • Demonstrated control over quantum walk dynamics, increasing coincidence counts.
  • Achieved enhanced quantum interference measurements without the need for post-selection.

Conclusions:

  • Temporal synthetic dimensions offer a pathway to efficient quantum information processing.
  • The developed fiber-based setup is cost-effective, scalable, and robust.
  • This approach facilitates quantum phase estimation, Boson sampling, and the realization of topological phases of matter.