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Variational Entanglement-Assisted Quantum Process Tomography with Arbitrary Ancillary Qubits.

Shichuan Xue1, Yizhi Wang1, Junwei Zhan1

  • 1Institute for Quantum Information & State Key Laboratory of High Performance Computing, College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China.

Physical Review Letters
|October 7, 2022
PubMed
Summary
This summary is machine-generated.

We developed a new quantum process tomography method using ancillary qubits to overcome system size limitations. This approach significantly reduces computational costs and improves accuracy on current quantum computers.

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Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Quantum Dynamics

Background:

  • Quantum process tomography is crucial for characterizing quantum dynamics.
  • Exponential scaling of Hilbert space limits experimental implementation for larger systems.

Purpose of the Study:

  • To introduce a more efficient, flexible, and error-mitigated variational entanglement-assisted quantum process tomography.
  • To address the challenges posed by system size limitations in current quantum process tomography.

Main Methods:

  • Utilizing arbitrary ancillary qubits to reduce computational complexity.
  • Numerical simulations of up to eight-qubit quantum processes.
  • Experimental demonstration on a silicon photonic chip with error mitigation.

Main Results:

  • Alleviated exponential costs in state preparation (from 4^n to 2^(n-m)) and measurement settings.
  • Achieved a significant reduction in data postprocessing requirements.
  • Enhanced average gate fidelity for two-qubit processes from 92.38% to 95.56% using error mitigation.

Conclusions:

  • The proposed method offers an efficient and practical solution for quantum process tomography.
  • This approach is suitable for noisy quantum computing platforms.
  • Enables more robust characterization of complex quantum systems.