Floquet Analysis of Frequency Collisions

TL;DR

This paper introduces a Floquet analysis approach to identify frequency collisions in complex multi-qubit systems, improving quantum control and gate fidelity in quantum processors.

Contribution

It reinterprets frequency collisions as Floquet state degeneracies, enabling efficient analysis of larger systems with multi-modal drives using perturbation theory.

Findings

Floquet analysis effectively detects frequency collisions in multi-qubit systems.

The method's computational complexity scales linearly with the number of qubits.

Application to experimental protocols demonstrates practical utility.

Abstract

Implementation of high-fidelity gate operations on integrated-qubit systems is of vital importance for fault-tolerant quantum computation. Qubit frequency allocation is an essential part of improving control fidelity. A metric for qubit frequency allocation, frequency collision, has been proposed on simple systems of only a few qubits driven by a mono-modal microwave drive. However, frequency allocation for quantum processors for more advanced purposes, such as quantum error correction, needs further investigation. In this study, we propose a Floquet analysis of frequency collisions. The key to our proposed method is a reinterpretation of frequency collisions as an unintended degeneracy of Floquet states, which allows a collision analysis on more complex systems with many qubits driven by multi-modal microwave drives. Although the Floquet state is defined in an infinite-dimensional Hilbert space, we develop algorithms, based on operation perturbation theory, to truncate the Hilbert space down to the optimal computational complexity. In particular, we show that the computational complexity of the collision analysis for a sparse qubit lattice is linear with the number of qubits. Finally, we demonstrate our proposed method on Cross-Resonance based experimental protocols. We first study the Cross-Resonance gate in an isolated three-qubit system, where the effectiveness of our method is verified by comparing it with previous studies. We next consider the more complex problem of syndrome extraction in the heavy-hexagon code. Our proposed method advances our understanding of quantum control for quantum processors and contributes to their improved design and control.