Tackling Coherent Noise in Quantum Computing via Cross-Layer Compiler Optimization

TL;DR

This paper introduces a cross-layer compiler optimization method that mitigates coherent quantum noise across program, gate, and pulse levels, significantly improving quantum computation fidelity on real hardware.

Contribution

It presents a novel cross-layer optimization approach for coherent error mitigation, addressing multi-qubit gates and leveraging hidden inverse theory within quantum programs.

Findings

Achieved up to 92% fidelity improvement on real quantum hardware.

Average fidelity improvement of 45% across benchmarks.

Successfully integrated into IBM Qiskit framework.

Abstract

Quantum computing hardware is affected by quantum noise that undermine the quality of results of an executed quantum program. Amongst other quantum noises, coherent error that caused by parameter drifting and miscalibration, remains critical. While coherent error mitigation has been studied before, studies focused either on gate-level or pulse-level -- missing cross-level optimization opportunities; And most of them only target single-qubit gates -- while multi-qubit gates are also used in practice. To address above limitations, this work proposes a cross-layer approach for coherent error mitigation that considers program-level, gate-level, and pulse-level compiler optimizations, by leveraging the hidden inverse theory, and exploiting the structure inside different quantum programs, while also considering multi-qubit gates. We implemented our approach as compiler optimization passes, and integrated into IBM Qiskit framework. We tested our technique on real quantum computer (IBM-Brisbane), and demonstrated up to 92% fidelity improvements (45% on average), on several benchmarks.