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, 2023 <p>CUDA Quantum is now available <a href="https://pypi.org/project/cuda-quantum/">on PyPI</a>! For the initial PyPI release, the NVIDIA multi-gpu and tensornet backends are not yet included. Check out our Docker images <a href="https:
The CUDA Quantum development team
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wpScalable Quantum Neural Networks for Classification
2022 IEEE International Conference on Quantum Computing and Engineering (QCE), 2022 11 pages, 10 figures, accepted by ...
Jindi Wu, Zeyi Tao, Qun Li 0001
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Hybrid quantum-classical convolutional neural network for phytoplankton classification
Frontiers in Marine Science, 2023 The taxonomic composition and abundance of phytoplankton have a direct impact on marine ecosystem dynamics and global environment change. Phytoplankton classification is crucial for phytoplankton analysis, but it is challenging due to their large ...
Shangshang Shi +6 more
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Mathematics, 2023 Image classification is typically a research area that trains an algorithm for accurately identifying subjects in images that have never been seen before.
Shtwai Alsubai +5 more
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Quantum Computing for Pattern Classification [PDF]
, 2014 14 pages, 3 figures, presented at the 13th Pacific Rim International Conference on Artificial ...
Maria Schuld +2 more
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Unsupervised Classification of Quantum Data [PDF]
Physical Review X, 2019 Close to published version, with new results on known classical and quantum states. 11 + 11 pages, 3 figures. Comments are welcome!
Sentís Herrera, Gael +4 more
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Symmetry of Open Quantum Systems: Classification of Dissipative Quantum Chaos
PRX Quantum, 2023 We develop a theory of symmetry in open quantum systems. Using the operator-state mapping, we characterize symmetry of Liouvillian superoperators for the open quantum dynamics by symmetry of operators in the double Hilbert space and apply the 38-fold ...
Kohei Kawabata +4 more
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Quantum Eigenfaces: Linear Feature Mapping and Nearest Neighbor Classification with Outlier Detection [PDF]
, 2023 We propose a quantum machine learning algorithm for data classification, inspired by the seminal computer vision approach of eigenfaces for face recognition.
Vanerio, Stefano +3 more
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Quantum noise protects quantum classifiers against adversaries
Physical Review Research, 2021 Noise in quantum information processing is often viewed as a disruptive and difficult-to-avoid feature, especially in near-term quantum technologies. However, noise has often played beneficial roles, from enhancing weak signals in stochastic resonance to
Yuxuan Du +4 more
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Quantum-Inspired Classification Based on Voronoi Tessellation and Pretty-Good Measurements
Quantum Reports, 2022 In quantum machine learning, feature vectors are encoded into quantum states. Measurements for the discrimination of states are useful tools for classification problems.
Roberto Leporini, Davide Pastorello
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