Multi-client distributed blind quantum computation with the Qline architecture

Beatrice Polacchi, Dominik Leichtle, Leonardo Limongi, Gonzalo Carvacho, Giorgio Milani, Nicolò Spagnolo, Marc Kaplan (), Fabio Sciarrino () and Elham Kashefi ()
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Beatrice Polacchi: Sapienza Università di Roma
Dominik Leichtle: CNRS, Sorbonne Université
Leonardo Limongi: Sapienza Università di Roma
Gonzalo Carvacho: Sapienza Università di Roma
Giorgio Milani: Sapienza Università di Roma
Nicolò Spagnolo: Sapienza Università di Roma
Marc Kaplan: VeriQloud
Fabio Sciarrino: Sapienza Università di Roma
Elham Kashefi: CNRS, Sorbonne Université

Nature Communications, 2023, vol. 14, issue 1, 1-8

Abstract: Abstract Universal blind quantum computing allows users with minimal quantum resources to delegate a quantum computation to a remote quantum server, while keeping intrinsically hidden input, algorithm, and outcome. State-of-art experimental demonstrations of such a protocol have only involved one client. However, an increasing number of multi-party algorithms, e.g. federated machine learning, require the collaboration of multiple clients to carry out a given joint computation. In this work, we propose and experimentally demonstrate a lightweight multi-client blind quantum computation protocol based on a recently proposed linear quantum network configuration (Qline). Our protocol originality resides in three main strengths: scalability, since we eliminate the need for each client to have its own trusted source or measurement device, low-loss, by optimizing the orchestration of classical communication between each client and server through fast classical electronic control, and compatibility with distributed architectures while remaining intact even against correlated attacks of server nodes and malicious clients.

Date: 2023
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DOI: 10.1038/s41467-023-43617-0

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