Scalable Digital Hardware for a Trapped Ion Quantum Computer
Emily Mount, Daniel Gaultney, Geert Vrijsen, Michael Adams, So-Young, Baek, Kai Hudek, Louis Isabella, Stephen Crain, Andre van Rynbach, Peter, Maunz, Jungsang Kim

TL;DR
This paper discusses scalable digital hardware solutions for ion trap quantum computers, focusing on classical control systems essential for maintaining qubit stability, coherence, and scalability in modular quantum architectures.
Contribution
It introduces scalable hardware designs addressing frequency stabilization, optical frequency control, electrode voltage provision, and phase coherence for modular ion trap quantum computers.
Findings
Proposed scalable control hardware architectures.
Demonstrated stabilization of laser and optical frequencies.
Ensured phase coherence among control modules.
Abstract
Many of the challenges of scaling quantum computer hardware lie at the interface between the qubits and the classical control signals used to manipulate them. Modular ion trap quantum computer architectures address scalability by constructing individual quantum processors interconnected via a network of quantum communication channels. Successful operation of such quantum hardware requires a fully programmable classical control system capable of frequency stabilizing the continuous wave lasers necessary for trapping and cooling the ion qubits, stabilizing the optical frequency combs used to drive logic gate operations on the ion qubits, providing a large number of analog voltage sources to drive the trap electrodes, and a scheme for maintaining phase coherence among all the controllers that manipulate the qubits. In this work, we describe scalable solutions to these hardware development…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing
