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

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


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 loading, cooling, initialization, and detection of 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 challenges.

Original languageEnglish
Pages (from-to)5281-5298
Number of pages18
JournalQuantum Information Processing
Issue number12
Publication statusPublished - 2016 Dec 1
Externally publishedYes


  • Quantum computation
  • Qubits
  • Trapped ions

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Statistical and Nonlinear Physics
  • Theoretical Computer Science
  • Signal Processing
  • Modelling and Simulation
  • Electrical and Electronic Engineering


Dive into the research topics of 'Scalable digital hardware for a trapped ion quantum computer'. Together they form a unique fingerprint.

Cite this