Traversing Quantum Control Robustness Landscapes: A New Paradigm for Quantum Gate Engineering

TL;DR

This paper introduces a new framework and algorithm for designing robust quantum gates that maintain high fidelity despite noise, by exploring control landscapes and preserving robustness through systematic pulse variations.

Contribution

The paper presents the Quantum Control Robustness Landscape (QCRL) framework and the RIPV algorithm, enabling systematic robust quantum gate engineering starting from arbitrary controls.

Findings

Single- and two-qubit gates exceed error correction thresholds.

The methodology effectively suppresses generic noise.

Systematic control variation preserves robustness.

Abstract

The optimization of robust quantum control is often tailored to specific tasks and suffers from inefficiencies due to the complexity of cost functions. Our recent findings indicate a highly effective methodology for the engineering of quantum gates by initiating the process with a robust control configuration of any arbitrary gate. We first introduce the Quantum Control Robustness Landscape (QCRL), a conceptual framework that maps control parameters to noise susceptibility. This framework facilitates a systematic investigation of equally robust controls for diverse quantum operations. By navigating through the level sets of the QCRL, our Robustness-Invariant Pulse Variation (RIPV) algorithm allows for the variation of control pulses while preserving robustness. Numerical simulations demonstrate that our single- and two-qubit gates exceed the quantum error correction threshold even with substantial noise. This methodology opens up a new paradigm for quantum gate engineering capable of effectively suppressing generic noise.