Multi-client distributed blind quantum computation with the Qline architecture

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 novel 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.

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Cited by in corpus (12)

• Universal distributed blind quantum computing with solid-state qubits
• Privacy-preserving quantum federated learning via gradient hiding
• Quantum cryptography beyond key distribution: theory and experiment
• Experimental verifiable multi-client blind quantum computing on a Qline architecture
• Quantum-machine-assisted Drug Discovery
• Polarization-encoded photonic quantum-to-quantum Bernoulli factory based on a quantum dot source
• Experimentally validated quantum-secure federated learning over a multi-user quantum network
• Optical Quantum Computing
• Complexity and multi-functional variants of the Quantum-to-Quantum Bernoulli Factories
• Blind quantum computing with different qudit resource state architectures
• Universal Operational Privacy in Distributed Quantum Sensing
• Verifiable cloud-based variational quantum algorithms