A framework for partially-blind single-qubit classification (PB-SQC) is proposed and simulated on a credit-card fraud dataset using realistic hardware parameters in a heterogeneous quantum network, with performance approaching a classical deep-belief network.
Multiparty Delegated Quantum Computing
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abstract
Quantum computing has seen tremendous progress in the past years. However, due to limitations in scalability of quantum technologies, it seems that we are far from constructing universal quantum computers for everyday users. A more feasible solution is the delegation of computation to powerful quantum servers on the network. This solution was proposed in previous studies of Blind Quantum Computation, with guarantees for both the secrecy of the input and of the computation being performed. In this work, we further develop this idea of computing over encrypted data, to propose a multiparty delegated quantum computing protocol in the measurement-based quantum computing framework.
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quant-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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Partially-Blind Single-Qubit Classification over a Prototype Hybrid Quantum Network
A framework for partially-blind single-qubit classification (PB-SQC) is proposed and simulated on a credit-card fraud dataset using realistic hardware parameters in a heterogeneous quantum network, with performance approaching a classical deep-belief network.