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Propagation of Uncertainty from Random Error00:59

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Updated: May 18, 2026

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
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Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

Experimental Monte Carlo quantum process certification.

L Steffen1, M P da Silva, A Fedorov

  • 1Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland.

Physical Review Letters
|September 26, 2012
PubMed
Summary
This summary is machine-generated.

Quantum process tomography is too complex for current experiments. This study implements a faster Monte Carlo method to accurately determine the fidelity of multi-qubit quantum gates.

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Area of Science:

  • Quantum Information Processing
  • Quantum Computing
  • Experimental Quantum Physics

Background:

  • Quantum process tomography is computationally intensive and time-consuming for current quantum processors.
  • Characterizing quantum experiments with more than a few qubits is becoming impractical.
  • New methods are needed to efficiently assess the performance of quantum gates.

Purpose of the Study:

  • To experimentally implement and validate a novel, more practical approach for determining quantum process fidelity.
  • To assess the fidelity of essential two- and three-qubit gates in a circuit quantum electrodynamics architecture.
  • To demonstrate the feasibility of using Monte Carlo sampling for efficient quantum gate characterization.

Main Methods:

  • Utilized a circuit quantum electrodynamics (cQED) platform for experimental implementation.
  • Employed a recently proposed method comparing experimental data directly with an ideal process via Monte Carlo sampling.
  • Focused on characterizing two-qubit gates (CPHASE, CNOT) and three-qubit gates (Toffoli, sequential CPHASE).

Main Results:

  • Successfully implemented the Monte Carlo sampling scheme on a cQED system.
  • Determined the fidelity of various two- and three-qubit quantum gates experimentally.
  • Demonstrated the practicality and efficiency of this new method compared to traditional tomography.

Conclusions:

  • The Monte Carlo sampling approach offers a practical and efficient alternative to quantum process tomography for characterizing quantum gates.
  • This method is suitable for assessing the fidelity of complex quantum operations in experimental setups.
  • The findings pave the way for more routine and scalable characterization of quantum processors.