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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
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Bootstrapping quantum process tomography via a perturbative ansatz.

L C G Govia1, G J Ribeill2, D Ristè2

  • 1Raytheon BBN Technologies, 10 Moulton Street, Cambridge, MA, 02138, USA. luke.c.govia@raytheon.com.

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Summary
This summary is machine-generated.

Efficient quantum process tomography is crucial for quantum computing. This study introduces a new method using two-qubit data to accurately characterize multi-qubit quantum processes, overcoming scalability challenges.

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Area of Science:

  • Quantum Information Science
  • Quantum Computing
  • Quantum Control

Background:

  • Quantum process tomography (QPT) is vital for verifying and debugging quantum processors.
  • Standard QPT faces scalability issues with increasing qubit numbers.

Purpose of the Study:

  • To develop an efficient quantum process tomography method for multi-qubit systems.
  • To enable accurate characterization of quantum processes on larger quantum processors.

Main Methods:

  • Introduced a physically motivated ansatz for unknown quantum processes.
  • Bootstrapped multi-qubit process descriptions from pairwise two-qubit tomographic data.
  • Inherited error resilience from the two-qubit tomography scheme.

Main Results:

  • Achieved highly accurate characterizations of quantum processes via numerical simulations of noisy three-qubit gates.
  • Successfully demonstrated the approach experimentally on a superconducting quantum processor.
  • Reconstructed three-qubit gates using only two-qubit tomographic data.

Conclusions:

  • The proposed efficient QPT method effectively characterizes multi-qubit quantum processes.
  • This approach offers a scalable solution for quantum processor verification and debugging.
  • Experimental validation confirms the practical applicability of the method.