Application of zero-noise extrapolation-based quantum error mitigation to a silicon spin qubit

Kavli Affiliate: Giordano Scappucci

| First 5 Authors: Hanseo Sohn, Jaewon Jung, Jaemin Park, Hyeongyu Jang, Lucas E. A. Stehouwer

| Summary:

As quantum computing advances towards practical applications, reducing errors
remains a crucial frontier for developing near-term devices. Errors in the
quantum gates and quantum state readout could result in noisy circuits, which
would prevent the acquisition of the exact expectation values of the
observables. Although ultimate robustness to errors is known to be achievable
by quantum error correction-based fault-tolerant quantum computing, its
successful implementation demands large-scale quantum processors with low
average error rates that are not yet widely available. In contrast, quantum
error mitigation (QEM) offers more immediate and practical techniques, which do
not require extensive resources and can be readily applied to existing quantum
devices to improve the accuracy of the expectation values. Here, we report the
implementation of a zero-noise extrapolation-based error mitigation technique
on a silicon spin qubit platform. This technique has recently been successfully
demonstrated for other platforms such as superconducting qubits, trapped-ion
qubits, and photonic processors. We first explore three methods for amplifying
noise on a silicon spin qubit: global folding, local folding, and pulse
stretching, using a standard randomized benchmarking protocol. We then apply
global folding-based zero-noise extrapolation to the state tomography and
achieve a state fidelity of 99.96% (98.52%), compared to the unmitigated
fidelity of 75.82% (82.16%) for different preparation states. The results show
that the zero-noise extrapolation technique is a versatile approach that is
generally adaptable to quantum computing platforms with different noise
characteristics through appropriate noise amplification methods.

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