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Mitigating Depolarizing Noise on Quantum Computers with Noise-Estimation Circuits.

Miroslav Urbanek1, Benjamin Nachman2, Vincent R Pascuzzi2

  • 1Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.

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Summary
This summary is machine-generated.

We developed a method to reduce noise in quantum computers by estimating and correcting depolarizing noise. This technique, combined with others, yields highly accurate results for complex quantum circuits.

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Area of Science:

  • Quantum Computing
  • Quantum Information Science

Background:

  • Quantum computer noise is a major obstacle to reliable computation.
  • Depolarizing noise is a common model for average noise in large quantum circuits.

Purpose of the Study:

  • To present a novel method for mitigating depolarizing noise in quantum computations.
  • To improve the accuracy of quantum algorithms by reducing noise effects.

Main Methods:

  • Estimating the rate of depolarizing noise using a dedicated noise-estimation circuit.
  • Correcting the output of a target quantum circuit based on the estimated noise rate.
  • Experimental validation on a simulated Heisenberg model.

Main Results:

  • The proposed method, combined with readout-error correction, randomized compiling, and zero-noise extrapolation, achieves near-exact results for circuits with hundreds of CNOT gates.
  • Analytical proof demonstrates that zero-noise extrapolation is enhanced when applied to the output of the noise mitigation method.

Conclusions:

  • The developed noise mitigation technique is effective in improving the fidelity of quantum computations.
  • This approach offers a significant advancement for achieving fault-tolerant quantum computing.