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.
Single-click protocols for re- mote state preparation using weak coherent pulses,
2 Pith papers cite this work. Polarity classification is still indexing.
fields
quant-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Authors formalize VBQC parameter selection as a constrained optimization problem, provide a framework to minimize rounds for given noise and security targets, and derive a heuristic for rapid estimation.
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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.
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Optimizing Resource Costs: A Practical Guide to Achieving Target Security in Verifiable Blind Quantum Computing
Authors formalize VBQC parameter selection as a constrained optimization problem, provide a framework to minimize rounds for given noise and security targets, and derive a heuristic for rapid estimation.