Adaptive Genetic Algorithms for Pulse-Level Quantum Error Mitigation

TL;DR

This paper presents an adaptive pulse-level quantum error mitigation algorithm that dynamically improves quantum circuit fidelity without altering circuit gates, demonstrating effectiveness on Grover's and Deutsch-Jozsa algorithms.

Contribution

It introduces a novel adaptive pulse-level error mitigation method that enhances quantum circuit fidelity by responding to noise conditions without changing circuit structure.

Findings

Improved fidelity in quantum circuits using the proposed method.

Effective application to Grover's and Deutsch-Jozsa algorithms.

Provides a flexible, noise-resilient error mitigation strategy.

Abstract

Noise remains a fundamental challenge in quantum computing, significantly affecting pulse fidelity and overall circuit performance. This paper introduces an adaptive algorithm for pulse-level quantum error mitigation, designed to enhance fidelity by dynamically responding to noise conditions without modifying circuit gates. By targeting pulse parameters directly, this method reduces the impact of various noise sources, improving algorithm resilience in quantum circuits. We show the latter by applying our protocol to Grover's and Deutsch-Jozsa algorithms. Experimental results show that this pulse-level strategy provides a flexible and efficient solution for increasing fidelity during the noisy execution of quantum circuits. Our work contributes to advancements in error mitigation techniques, essential for robust quantum computing.