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.
Remotely Preparing Many Qubits with a Single Photon
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
A single photon in a superposition of $d$ modes naturally encode a $d$-dimensional quantum system, a so-called qudit. We show that such superpositions can be leveraged to achieve a quantum speed-up of remote remote state preparation (RSP): a primitive for several quantum network protocols. For a superposition over $d\geq 2$ modes, the photon state can encode up to ${\rm Log}_2(d)$ qubits, which we exploit in a proposed reflection based RSP protocol with multiple variations. For single qubit RSP, we achieve a performance comparable to the best known existing schemes but with reduced requirements for phase stabilization. For many qubit RSP the achievable success rates remain high despite needing exponentially many temporal modes, since only one photon needs to be transmitted and detected to prepare multiple qubits. By simultaneously preparing many qubits at once, we bypass limited qubit lifetimes limited qubit lifetimes and improve fidelities beyond what is achievable with existing RSP protocols.
fields
quant-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.