Simulating and mitigating crosstalk

TL;DR

This paper presents a scalable framework for modeling and mitigating crosstalk in quantum processors, demonstrating that optimal control can significantly reduce error rates in large superconducting qubit arrays.

Contribution

It introduces a novel control-based approach to mitigate crosstalk effects in quantum systems, reducing the need for complex fabrication improvements.

Findings

Error rates are drastically lowered in simulations of 100-qubit arrays.

Optimal control techniques effectively tune high-fidelity parallel operations.

Mitigation of crosstalk is achievable through characterization and control, not just fabrication improvements.

Abstract

We describe an efficient and scalable framework for modeling crosstalk effects on quantum information processors. By applying optimal control techniques, we show how to tuneup arbitrary high-fidelity parallel operations on systems with substantial local and nonlocal crosstalk. Simulations show drastically lower error rates for a 2D square array of 100 superconducting transmon qubits. These results suggest that rather than striving to engineer away undesirable interactions during fabrication, we can largely mitigate their effects through careful characterization and control optimization.