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

被引:0
|
作者
van Dam, J. [1 ,2 ,3 ]
Avis, G. [1 ,2 ,3 ,4 ]
Propp, Tz B. [1 ,2 ,3 ]
Ferreira da Silva, F. [1 ,2 ,3 ]
Slater, J. A. [5 ]
Northup, T. E. [6 ]
Wehner, S. [1 ,2 ,3 ]
机构
[1] Delft Univ Technol, QuTech, Lorentzweg 1, NL-2628 CJ Delft, Netherlands
[2] Delft Univ Technol, Kavli Inst Nanosci, Lorentzweg 1, NL-2628 CJ Delft, Netherlands
[3] Delft Univ Technol, Quantum Comp Sci, EEMCS, Lorentzweg 1, NL-2628 CJ Delft, Netherlands
[4] Univ Massachusetts, Coll Informat & Comp Sci, 140 Governors Dr, Amherst, MA 01002 USA
[5] Q Bird, Delftechpk 1, NL-2628 XJ Delft, Netherlands
[6] Univ Innsbruck, Inst Expt Phys, Technikerstr 25, A-6020 Innsbruck, Austria
来源
QUANTUM SCIENCE AND TECHNOLOGY | 2024年 / 9卷 / 04期
关键词
blind quantum computing; trapped-ions; hardware requirements;
D O I
10.1088/2058-9565/ad6eb2
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
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.
引用
收藏
页数:18
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