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This study introduces a quantum information processing platform using ultrafast time-bin encoding of photons. It demonstrates high fidelity and stability, paving the way for scalable photonic quantum computing.

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Area of Science:

  • Quantum Information Science
  • Photonics
  • Quantum Computing

Background:

  • Scalable quantum information processing is a major challenge.
  • Existing photonic approaches face limitations in stability and scalability.

Purpose of the Study:

  • To propose and demonstrate a scalable quantum information processing platform.
  • To leverage ultrafast time-bin encoding for enhanced stability and programmability.

Main Methods:

  • Utilizing ultrafast time-bin encoding of photons.
  • Employing collinear temporal interferometric networks for phase stability.
  • Using optically induced nonlinearities and birefringent materials for information processing.
  • Maintaining photons in a single spatial mode.

Main Results:

  • Demonstrated programmability by programming 362 unitary transformations in an eight-dimensional temporal circuit.
  • Showcased scalability by building a passive optical network with up to 36 optical modes.
  • Achieved fidelities exceeding 97% in both experiments.
  • Maintained passive interferometric phase stability for several days.

Conclusions:

  • The proposed platform offers a viable pathway to scalable photonic quantum information processing.
  • Ultrafast time-bin encoding provides inherent stability and programmability.
  • The experimental demonstrations validate the potential of this approach for future quantum technologies.