Autonomously Designed Pulses for Precise, Site-Selective Control of Atomic Qubits

TL;DR

This paper presents an AI-based framework that autonomously designs composite pulses to significantly enhance site-selective control fidelity in cold-atom quantum computers, demonstrating robustness and broad applicability.

Contribution

An AI-driven method for autonomous pulse design that improves local control fidelity in atomic qubits, surpassing previous limitations and adaptable to various quantum platforms.

Findings

Tenfold increase in control fidelity

Robustness against optical aberrations

Compatibility with existing hardware

Abstract

Quantum computers based on cold-atom arrays offer long-lived qubits with programmable connectivity, yet their progress toward fault-tolerant operation is limited by the relatively low fidelity of site-selective local control. We introduce an artificial-intelligence (AI) framework that overcomes this limitation. Trained on atom-laser dynamics, a deep neural network autonomously designs composite pulses that improve local control fidelities tenfold while remaining compatible with existing control hardware. We further demonstrate the robustness of these pulses against optical aberrations and beam misalignment. This approach establishes AI-trained pulse compilation for high-fidelity qubit control and can be readily extended to other atom-like platforms, such as trapped ions and solid-state color centers.