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Letter: Why Consider Quantum Instead Classical Pattern Recognition Techniques?

https://doi.org/10.2139/ssrn.4809253
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inferredcites →https://doi.org/10.1007/978-3-031-12304-7_19openalex-extracted
Quantum Computing and Cryptography
inferredcites →https://doi.org/10.1007/s10044-022-01113-zopenalex-extracted
Quantum convolutional neural network for image classification
inferredcites →https://doi.org/10.1007/s11831-022-09809-5openalex-extracted
Contemporary Quantum Computing Use Cases: Taxonomy, Review and Challenges
inferredcites →https://doi.org/10.1007/s42484-023-00103-6openalex-extracted
Subtleties in the trainability of quantum machine learning models
inferredcites →https://doi.org/10.1016/j.neunet.2022.03.043openalex-extracted
Quantum support vector machine based on regularized Newton method
inferredcites →https://doi.org/10.1038/s41467-023-36159-yopenalex-extracted
Quantum machine learning beyond kernel methods
inferredcites →https://doi.org/10.1038/s41567-021-01287-zopenalex-extracted
A rigorous and robust quantum speed-up in supervised machine learning
inferredcites →https://doi.org/10.1038/s41586-022-04940-6openalex-extracted
Practical quantum advantage in quantum simulation
inferredcites →https://doi.org/10.1038/s41586-023-06096-3openalex-extracted
Evidence for the utility of quantum computing before fault tolerance
inferredcites →https://doi.org/10.1038/s41597-022-01639-1openalex-extracted
QDataSet, quantum datasets for machine learning
inferredcites →https://doi.org/10.1038/s41598-022-14876-6openalex-extracted
Review of some existing QML frameworks and novel hybrid classical–quantum neural networks realising binary classification for the noisy datasets
inferredcites →https://doi.org/10.1038/s42254-023-00603-1openalex-extracted
Quantum computing for finance
inferredcites →https://doi.org/10.1038/s43588-022-00311-3openalex-extracted
Challenges and opportunities in quantum machine learning
inferredcites →https://doi.org/10.1063/5.0082975openalex-extracted
The future of quantum computing with superconducting qubits
inferredcites →https://doi.org/10.1098/rsta.2021.0103openalex-extracted
Quantum pattern recognition algorithms for charged particle tracking
inferredcites →https://doi.org/10.1103/physreva.105.012425openalex-extracted
Considerations for evaluating thermodynamic properties with hybrid quantum-classical computing work flows
inferredcites →https://doi.org/10.1103/physreva.106.042431openalex-extracted
Training quantum embedding kernels on near-term quantum computers
inferredcites →https://doi.org/10.1103/physrevresearch.4.013231openalex-extracted
Quantum convolutional neural networks for high energy physics data analysis
inferredcites →https://doi.org/10.1103/physrevresearch.4.033142openalex-extracted
Variational quantum optimization with multibasis encodings
inferredcites →https://doi.org/10.1109/focs52979.2021.00063openalex-extracted
Exponential Separations Between Learning With and Without Quantum Memory
inferredcites →https://doi.org/10.1109/icdh51081.2020.00028openalex-extracted
Quantum Convolutional Neural Network For Image Classification
inferredcites →https://doi.org/10.1109/icecet52533.2021.9698509openalex-extracted
Design and Implementation of Efficient Quantum Support Vector Machine
inferredcites →https://doi.org/10.1109/ictc49870.2020.9289439openalex-extracted
A Tutorial on Quantum Convolutional Neural Networks (QCNN)
inferredcites →https://doi.org/10.1109/isctis58954.2023.10213103openalex-extracted
Study on the Adversarial Sample Generation Algorithm Based on Adversarial Quantum Generation Adversarial Network
inferredcites →https://doi.org/10.1109/mnet.001.2200150openalex-extracted
Hybrid Quantum-Classical Computing for Future Network Optimization
inferredcites →https://doi.org/10.1109/ojnano.2022.3178545openalex-extracted
Quantum Computing: Fundamentals, Implementations and Applications
inferredcites →https://doi.org/10.1109/qce53715.2022.00110openalex-extracted
Efficient Data Encoding and Decoding for Quantum Computing
inferredcites →https://doi.org/10.1109/tit.2022.3157440openalex-extracted
Encoding Classical Information Into Quantum Resources
inferredcites →https://doi.org/10.1109/tqe.2023.3319319openalex-extracted
Hybrid Quantum–Classical Generative Adversarial Network for High-Resolution Image Generation
inferredcites →https://doi.org/10.1117/12.2657069openalex-extracted
Research on the application of "quantum computing + dynamic face recognition" in bank personal business
inferredcites →https://doi.org/10.1126/science.abn7293openalex-extracted
Quantum advantage in learning from experiments
inferredcites →https://doi.org/10.17587/it.29.512-521openalex-extracted
Quantum Neural Networks in the Problem of Pattern Recognition
inferredcites →https://doi.org/10.21203/rs.3.rs-654802/v2openalex-extracted
Variational Quantum Optimization with Multi-Basis Encodings
inferredcites →https://doi.org/10.3390/electronics12040856openalex-extracted
A Survey of Recent Advances in Quantum Generative Adversarial Networks
inferredcites →https://doi.org/10.3390/fi15030094openalex-extracted
Quantum Computing for Healthcare: A Review
inferredcites →https://doi.org/10.48550/arxiv.2109.03400openalex-extracted
Entangled Datasets for Quantum Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.2111.05881openalex-extracted
Exponential separations between learning with and without quantum memory
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