Quantity study on a novel quantum neural network with alternately controlled gates for binary image classification
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Publication:6101570
DOI10.1007/S11128-023-03929-YOpenAlexW4367311267MaRDI QIDQ6101570
Publication date: 1 June 2023
Published in: Quantum Information Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11128-023-03929-y
image classificationquantum neural networkuniversal gate setparameter shift rulequantum probability image encoding
Cites Work
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- NEQR: a novel enhanced quantum representation of digital images
- Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
- Learning representations by back-propagating errors
- Quantum Walk Algorithm for Element Distinctness
- Quantum artificial neural network architectures and components
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