Simplifying Trapped-Ion Quantum Computing Control: Automated Lasers and Single-Tone Two-Qubit Gates

Abstract

Quantum computing exploits superposition and entanglement to address problems that are difficult for classical hardware, with applications in cryptography, optimization, and quantum simulation. Trapped ions are among the most promising platforms, offering inherently identical qubits, long coherence times, and high-fidelity operations. However, scaling these systems introduces technical challenges, particularly in hardware complexity.This thesis addresses these challenges through three key contributions. First, it demonstrates a scalable Yb-based quantum computing system capable of individually addressing up to 32 qubits. Second, it introduces a fiber-based, fully automated laser-locking network that integrates multiple stabilization techniques, significantly reducing manual adjustments and ensuring long-term stability. Finally, it proposes and experimentally validates a novel single-tone two-qubit entanglement gate, providing an alternative to the traditional bichromatic Mølmer–Sørensen approach while maintaining comparable performance and reducing hardware complexity.Together, these advancements improve the scalability and efficiency of trapped-ion quantum computing, supporting the development of larger and more practical quantum computers.