Hardware requirements for trapped-ion-based verifiable blind quantum computing with a measurement-only client

J. van Dam*, G. Avis, T.B. Propp, F. Horta Ferreira da Silva, J.A. Slater, T.E. Northup, S.D.C. Wehner

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

In blind quantum computing (BQC), a user with a simple client device can perform a quantum computation on a remote quantum server such that the server cannot gain knowledge about the computation. Here, we numerically investigate hardware requirements for verifiable BQC using an ion trap as server and a distant measurement-only client. While the client has no direct access to quantum-computing resources, it can remotely execute quantum programs on the server by measuring photons emitted by the trapped ion. We introduce a numerical model for trapped-ion quantum devices in NetSquid, a discrete-event simulator for quantum networks. Using this, we determine the minimal hardware requirements on a per-parameter basis to perform the verifiable BQC protocol. We benchmark these for a five-qubit linear graph state, with which any single-qubit rotation can be performed, where client and server are separated by 50 km. Current state-of-the-art ion traps satisfy the minimal requirements on a per-parameter basis, but all current imperfections combined make it impossible to perform the blind computation securely over 50 km using existing technology. Using a genetic algorithm, we determine the set of hardware parameters that minimises the total improvements required, finding directions along which to improve hardware to reach our threshold error probability that would enable experimental demonstration. In this way, we lay a path for the near-term experimental progress required to realise the implementation of verifiable BQC over a 50 km distance.
Original languageEnglish
Article number045031
Number of pages18
JournalQuantum Science and Technology
Volume9
Issue number4
DOIs
Publication statusPublished - 2024

Keywords

  • blind quantum computing
  • trapped-ions
  • hardware requirements

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