A hybrid neural network combining a shallow parameterized quantum circuit with a classical neural network reduces sample complexity for topological phase recognition by approximately one order of magnitude versus classical neural networks on randomized Pauli measurements.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Hybrid quantum-classical neural network for sample-efficient recognition of topological phases
A hybrid neural network combining a shallow parameterized quantum circuit with a classical neural network reduces sample complexity for topological phase recognition by approximately one order of magnitude versus classical neural networks on randomized Pauli measurements.