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Robust and efficient verification of graph states in blind measurement-based quantum computation

Zihao Li, Huangjun Zhu, Masahito Hayashi

2023npj Quantum Information23 citationsDOIOpen Access PDF

Abstract

Abstract Blind quantum computation (BQC) is a secure quantum computation method that protects the privacy of clients. Measurement-based quantum computation (MBQC) is a promising approach for realizing BQC. To obtain reliable results in blind MBQC, it is crucial to verify whether the resource graph states are accurately prepared in the adversarial scenario. However, previous verification protocols for this task are too resource-consuming or noise-susceptible to be applied in practice. Here, we propose a robust and efficient protocol for verifying arbitrary graph states with any prime local dimension in the adversarial scenario, which leads to a robust and efficient protocol for verifying the resource state in blind MBQC. Our protocol requires only local Pauli measurements and is thus easy to realize with current technologies. Nevertheless, it can achieve optimal scaling behaviors with respect to the system size and the target precision as quantified by the infidelity and significance level, which has never been achieved before. Notably, our protocol can exponentially enhance the scaling behavior with the significance level.

Topics & Concepts

Computer scienceComputationProtocol (science)Quantum computerTheoretical computer scienceGraphDimension (graph theory)QuantumDistributed computingAlgorithmMathematicsPathologyPhysicsPure mathematicsAlternative medicineQuantum mechanicsMedicineQuantum Information and CryptographyQuantum Computing Algorithms and ArchitectureQuantum and electron transport phenomena
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