Anticipating Decoherence for Enhancing Coherence in Quantum Systems

TL;DR

This paper introduces an anticipatory framework using machine learning to predict spectral diffusion in quantum emitters, enabling decoherence mitigation and improved coherence in scalable quantum systems.

Contribution

It presents the first application of anticipatory systems and replica theory to quantum technology, demonstrating real-time spectral prediction across multiple quantum emitters.

Findings

Machine learning accurately forecasts spectral shifts in quantum emitters.

Prediction reduces spectral shift by factors of approximately 2.1 to 15.8.

First experimental demonstration of internal prediction generalizing across emitters.

Abstract

Large-scale quantum systems require optical coherence between distant quantum devices, necessitating spectral indistinguishability. Scalable solid-state platforms offer promising routes to this goal. However, environmental disorders, including dephasing, spectral diffusion, and spin-bath interactions, influence the emitters' spectra and deteriorate the coherence. Using statistical theory, we identify correlations in spectral diffusion from slowly varying environmental coupling, revealing predictable dynamics extendable to other disorders. Importantly, this could enable the development of an anticipatory framework for forecasting and decoherence engineering in remote quantum emitters. To validate this framework, we demonstrate that a machine learning model trained on limited data can accurately forecast unseen spectral behavior. Realization of such a model on distinct quantum emitters could reduce the spectral shift by factors $\approx$ 2.1 to 15.8, depending on emitter stability, compared to no prediction. This work presents, for the first time, the application of anticipatory systems and replica theory to quantum technology, along with the first experimental demonstration of internal prediction that generalizes across multiple quantum emitters. These results pave the way for real-time decoherence engineering in scalable quantum systems. Such capability could lead to enhanced optical coherence and multi-emitter synchronization, with broad implications for quantum communication, computation, imaging, and sensing.