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TE-HQViT-Probs: Full-Probability Quantum Self-Attention Outperforms Expectation-Value Readout in Medical Image Classification.

2026-08-18

Abstract excerpt

<title>Abstract</title> <p>Hybrid quantum-classical neural networks commonly convert a parameterized quantum circuit state into classical features through expectation-value measurements. Although compact, this readout may discard useful information contained in the circuit state. This study investigates whether full computational-basis probability readout improves a compact hybrid quantum self-attention model for...

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Literature Corpus work
680bb0ea-c889-507b-9b15-18c3923b947e
DOI
10.21203/rs.3.rs-10646890/v1
Open publication

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TE-HQViT-Probs: Full-Probability Quantum Self-Attention Outperforms Expectation-Value Readout in Medical Image Classification.DOI 10.21203/rs.3.rs-10646890/v1
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