Variational secure cloud quantum computing

TL;DR

This paper introduces a secure, resource-efficient method for executing variational quantum algorithms on NISQ devices via cloud computing, ensuring client data privacy without extensive quantum resources.

Contribution

It proposes a novel NISQ-compatible blind quantum computing protocol requiring only N+1 qubits, enhancing security and efficiency for cloud-based quantum computations.

Findings

Requires only N+1 qubits, reducing resource needs.

Guarantees client data security via no-signaling principle.

Enables secure NISQ algorithm execution in cloud environments.

Abstract

Variational quantum algorithms (VQAs) have been considered to be useful applications of noisy intermediate-scale quantum (NISQ) devices. Typically, in the VQAs, a parametrized ansatz circuit is used to generate a trial wave function, and the parameters are optimized to minimize a cost function. On the other hand, blind quantum computing (BQC) has been studied in order to provide the quantum algorithm with security by using cloud networks. A client with a limited ability to perform quantum operations hopes to have access to a quantum computer of a server, and BQC allows the client to use the server's computer without leakage of the client's information (such as input, running quantum algorithms, and output) to the server. However, BQC is designed for fault-tolerant quantum computing, and this requires many ancillary qubits, which may not be suitable for NISQ devices. Here, we propose an efficient way to implement the NISQ computing with guaranteed security for the client. In our architecture, only N+ 1 qubits are required, under an assumption that the form of ansatzes is known to the server, where N denotes the necessary number of the qubits in the original NISQ algorithms. The client only performs single-qubit measurements on an ancillary qubit sent from the server, and the measurement angles can specify the parameters for the ansatzes of the NISQ algorithms. No-signaling principle guarantees that neither parameters chosen by the client nor the outputs of the algorithm are leaked to the server. This work paves the way for new applications of NISQ devices.