Decoherence of solid-state spin qubits: a computational perspective

TL;DR

This paper reviews how first-principles computational methods can predict and analyze decoherence mechanisms in solid-state spin qubits, aiding the design of more coherent quantum systems for computing, sensing, and networking.

Contribution

It introduces validated cluster simulation techniques for predicting spin decoherence, bridging theoretical models with experimental results in solid-state quantum platforms.

Findings

Validated cluster methods effectively interpret experimental decoherence data.

First-principles simulations can predict coherence times of novel spin qubits.

Understanding spin-phonon and spin-spin interactions guides quantum device development.

Abstract

The usefulness of solid-state spins in quantum technologies depends on how long they can remain in a coherent superposition of quantum states. This Colloquium discusses how first-principles simulations can predict spin dynamics for different types of solid-state electron spins, helping design novel and improved platforms for quantum computing, networking, and sensing. We begin by outlining the necessary concepts of the noise affecting generic quantum systems. We then focus on recent advances in predicting spin-phonon relaxation of the spin-defect qubits. Next, we discuss cluster methods as a means of simulating quantum decoherence induced by spin-spin interactions, emphasizing the critical role of validation in ensuring the accuracy of these simulations. We highlight how validated cluster methods can be instrumental in interpreting recent experimental results and, more importantly, predicting the coherence properties of novel spin-based quantum platforms, guiding the development of next-generation quantum technologies.