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Mitigating Depolarizing Noise on Quantum Computers with Noise-Estimation Circuits

Miroslav Urbanek, Benjamin Nachman, Vincent R. Pascuzzi, Andre He, Christian W. Bauer, Wibe A. de Jong

2021Physical Review Letters154 citationsDOIOpen Access PDF

Abstract

A significant problem for current quantum computers is noise. While there are many distinct noise channels, the depolarizing noise model often appropriately describes average noise for large circuits involving many qubits and gates. We present a method to mitigate the depolarizing noise by first estimating its rate with a noise-estimation circuit and then correcting the output of the target circuit using the estimated rate. The method is experimentally validated on a simulation of the Heisenberg model. We find that our approach in combination with readout-error correction, randomized compiling, and zero-noise extrapolation produces close to exact results even for circuits containing hundreds of CNOT gates. We also show analytically that zero-noise extrapolation is improved when it is applied to the output of our method.

Topics & Concepts

ExtrapolationControlled NOT gateNoise (video)QubitElectronic circuitQuantum computerPhysicsDepolarizationQuantum noiseComputer scienceQuantum circuitElectronic engineeringQuantumCircuit designAlgorithmComparatorTopology (electrical circuits)Quantum error correctionStatistical physicsJohnson–Nyquist noiseMonte Carlo methodElectrical engineeringQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyLow-power high-performance VLSI design
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