Quantum Noise Suppression at Scale with Crosstalk-Robust Gate Sets

TL;DR

This paper presents crosstalk-robust quantum gate sets designed via scalable optimal control, demonstrating significant error suppression and performance improvements in multi-qubit circuits and algorithms on IBM Quantum devices.

Contribution

Introduction of scalable, crosstalk-robust quantum gate sets using optimal control, improving error suppression and algorithmic performance in multi-qubit systems.

Findings

Error suppression extends to multi-qubit circuits.

Noise-informed gates improve quantum algorithm performance fourfold.

Optimized gates enable larger coupling strengths and faster two-qubit gates.

Abstract

We introduce crosstalk-robust gate sets, which are obtained using a novel, scalable optimal control problem exploiting locality. Through the suppression of pairwise quantum crosstalk, the gate sets enable robustness that extends to multi-qubit circuits. The IBM Quantum Platform devices provide a testbed for our gate sets, where we study their efficacy via error suppression protocols and randomized parallel single-qubit circuits of up to eight qubits. Furthermore, we provide the first known assessment of the impact of complete optimal control gate sets on quantum algorithms. Using a Hamiltonian simulation of a four-qubit transverse field Ising model, we show that noise-informed gates enhance median algorithmic performance by a factor of four over baseline Gaussian gates using the same calibration procedures. Lastly, we provide numerical evidence that optimized gate sets enable larger qubit-qubit coupling strengths that can cut two-qubit gate times in half. This result confirms that hardware-software co-design using quantum optimal control can create new opportunities for quantum computing architectures.