The quest for a Quantum Neural Network

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Graph algorithms with neutral atom quantum processors

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Networked Quantum Services†

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Generation of Werner-like states via a two-qubit system plunged in a thermal reservoir and their application in solving binary classification problems

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Quantum identity authentication based on the extension of quantum rotation

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On Quantum Hyperparameters Selection in Hybrid Classifiers for Earth Observation Data

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Advancements in Quantum Machine Learning and Quantum Deep Learning: A Comprehensive Review of Algorithms, Challenges, and Future Directions

Priyanka, G., Venkatesan, M., & Prabhavathy, P. (2023) · International Conference on Quantum Technologies, Communications, Computing, Hardware and Embedded Systems Security (iQ-CCHESS) · doi:10.1109/iq-cchess56596.2023.10391745 · Cited by 18

Mitigated barren plateaus in the time-nonlocal optimization of analog quantum-algorithm protocols

Broers, L., & Mathey, L. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.013076 · Cited by 17

Simulation of a Multidimensional Input Quantum Perceptron

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On the convergence of projective-simulation–based reinforcement learning in Markov decision processes

Boyajian, W. L., Clausen, J., Trenkwalder, L. M., Dunjko, V., & Briegel, H. J. (2020) · Quantum Machine Intelligence · doi:10.1007/s42484-020-00023-9 · Cited by 17

Classification with Quantum Measurements

Gonzalez, F. A., Vargas-Calderón, V., & Vinck-Posada, H. (2021) · Journal of the Physical Society of Japan · doi:10.7566/jpsj.90.044002 · Cited by 17

Phase diagram of quantum generalized Potts-Hopfield neural networks

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Understanding Machine Learning

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Hybrid quantum-classical deep learning framework for balanced multiclass diabetic retinopathy classification

Ara, T., Mishra, V. P., Bali, M., & Yenkikar, A. (2025) · MethodsX · doi:10.1016/j.mex.2025.103605 · Cited by 16

Quantum Neural Networks for Dynamic Route Identification to avoid traffic

Boyapati, S., Swarna, S. R., & Kumar, A. (2020) · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · doi:10.1109/i-smac49090.2020.9243322 · Cited by 16

QSurfNet: a hybrid quantum convolutional neural network for surface defect recognition

Mishra, S., & Tsai, C. (2023) · Quantum Information Processing · doi:10.1007/s11128-023-03930-5 · Cited by 17

A variational quantum perceptron with Grover’s algorithm for efficient classification

Innan, N., & Bennai, M. (2024) · Physica Scripta · doi:10.1088/1402-4896/ad3e38 · Cited by 20

An autonomous competitive learning algorithm using quantum hamming neural networks

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Empirical Analysis of Decision Making of an AI Agent on IBM’s 5Q Quantum Computer

Hu, W. (2018) · Natural Science · doi:10.4236/ns.2018.101004 · Cited by 16

A novel quantum neural network based on multi-level activation function

Niu, X.-F., & Ma, W. (2021) · Laser Physics Letters · doi:10.1088/1612-202x/abd23c · Cited by 17

Quantum computing and neuroscience for 6G/7G networks: Survey

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QUSL: Quantum unsupervised image similarity learning with enhanced performance

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Artificial Intelligence in Quantum Communications: A Comprehensive Survey

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Quantum Neural Network with Improved Quantum Learning Algorithm

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From Digital Humanities to Quantum Humanities: Potentials and Applications

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A Cationic Oligomer as an Organic Template for Direct Synthesis of Aluminosilicate ITH Zeolite

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Quantum Annealing Formulation for Binary Neural Networks

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Quantum Machine Learning Implementations: Proposals and Experiments

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Neural networks can learn to utilize correlated auxiliary noise

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Quantum Programming on Azure Quantum—An Open Source Tool for Quantum Developers

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Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets

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A survey on quantum data mining algorithms: challenges, advances and future directions

Qi, H., Wang, L., Gong, C., & Gani, A. (2024) · Quantum Information Processing · doi:10.1007/s11128-024-04279-z · Cited by 14

Introduction

Schuld, M., & Petruccione, F. (2018) · Quantum science and technology · doi:10.1007/978-3-319-96424-9_1 · Cited by 15

A Survey of Quantum Deep Reinforcement Learning for Resource Allocation in Future Wireless Networks

Astiti, N. M. E. P., & Lee, B. M. (2025) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2025.3638435 · Cited by 15

Quantum Algorithm for Estimating Largest Eigenvalues

Nghiem, N. A., & Wei, T.-C. (2023) · Physics Letters A · doi:10.1016/j.physleta.2023.129138 · Cited by 20

Empirical Analysis of a Quantum Classifier Implemented on IBM’s 5Q Quantum Computer

Hu, W. (2018) · Journal of Quantum Information Science · doi:10.4236/jqis.2018.81001 · Cited by 13

Medical-Modality Super-resolution for increased visualisation of Intracranial Tissue Details and Structural Details

Lepcha, D. C., & Goyal, B. (2021) · International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) · doi:10.1109/icrito51393.2021.9596440 · Cited by 13

Encoding optimization for quantum machine learning demonstrated on a superconducting transmon qutrit

Cao, S., Zhang, W., Tilly, J., Agarwal, A., Bakr, M. S., Campanaro, G., Fasciati, S. D., Wills, J., Shteynas, B., Chidambaram, V., et al. (2024) · Quantum Science and Technology · doi:10.1088/2058-9565/ad7315 · Cited by 13

Implementation of Trained Factorization Machine Recommendation System on Quantum Annealer

Liu, C.-Y., Wang, H.-Y., Liao, P.-Y., Lai, C.-J., & Hsieh, M.-H. (2024) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn60899.2024.10650298 · Cited by 13

Entanglement in a quantum neural network based on quantum dots

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Quantum machine learning with glow for episodic tasks and decision games

Clausen, J., & Briegel, H. J. (2018) · Physical Review A · doi:10.1103/physreva.97.022303 · Cited by 13

Quantum Neural Machine Learning: Theory and Experiments

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Image Compression and Classification Using Qubits and Quantum Deep LearningPreprint

Mohsen, A., & Tiwari, M. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2110.05476 · Cited by 18

Classification of data with a qudit, a geometric approach

Mandilara, A., Dellen, B. K., Jaekel, U., Valtinos, T., & Syvridis, D. (2024) · Quantum Machine Intelligence · doi:10.1007/s42484-024-00146-3 · Cited by 12

Image Classification Using Hybrid Classical-Quantum Neutral Networks

Ling, Y.-Q., Zhang, J., Zhang, L., Li, Y.-R., & Huang, H.-L. (2024) · International Journal of Theoretical Physics · doi:10.1007/s10773-024-05669-w · Cited by 13

Transforming Neural Networks into Quantum-Cognitive Models: A Research Tutorial with Novel Applications

Maksimovic, M., & Maksymov, I. S. (2025) · Technologies · doi:10.3390/technologies13050183 · Cited by 14

Learning Fourier series with parametrized quantum circuits

Heimann, D., Hohenfeld, H., Schönhoff, G., Mounzer, E., & Kirchner, F. (2025) · Physical Review Research · doi:10.1103/physrevresearch.7.023151 · Cited by 12

Approximation of Quantum States Using Decision Diagrams

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Quantum neuron with real weights

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Conglomeration of deep neural network and quantum learning for object detection: Status quo review

Sinha, P. K., & Marimuthu, R. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.111480 · Cited by 14

Critically excited states with enhanced memory and pattern recognition capacities in quantum brain networks: Lesson from black holesPreprint

Dvali, G. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1711.09079 · Cited by 23

Quantum Informative Analysis in Smart Power Distribution

Ahanger, T. A., Bhatia, M., & Aldaej, A. (2024) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3691350 · Cited by 11

A Quantum Multimodal Neural Network Model for Sentiment Analysis on Quantum Circuits

Zheng, J., Gao, Q. Z., Dong, D., Lü, J., & Deng, Y. C. (2024) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2024.3511514 · Cited by 16

The Convergence of Distributed Computing and Quantum Computing: A Paradigm Shift in Computational Power

Naayini, P., Bura, C., & Jonnalagadda, A. K. (2025) · International Journal Of Scientific Advances · doi:10.51542/ijscia.v6i2.5 · Cited by 11

Parallel structure of hybrid quantum–classical neural networks for image classification

Xu, Z., Hu, Y., Yang, T., Cai, P., Shen, K., Lv, B., Chen, S., Wang, J., Zhu, Y., Wu, Z., et al. (2025) · Quantum Information Processing · doi:10.1007/s11128-025-04813-7 · Cited by 13

Quantum and quantum-inspired computing in civil engineering

Ploennigs, J., Smarsly, K., Berger, M., Dragos, K., & Kliesch, M. (2025) · Advanced Engineering Informatics · doi:10.1016/j.aei.2025.103960 · Cited by 12

A quantum Hopfield associative memory implemented on an actual quantum processor

Miller, N. E., & Mukhopadhyay, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-02866-z · Cited by 12

A Novel Stochastic LSTM Model Inspired by Quantum Machine Learning

Lindsay, J., & Zand, R. (2023) · International Symposium on Quality Electronic Design (ISQED) · doi:10.1109/isqed57927.2023.10129344 · Cited by 12

Undergraduate Research and Education in Quantum Machine Learning

Uehara, G. S., Larson, J. S., Barnard, W. M., Esposito, M., Posta, F., Yarter, M., Sharma, A., Kyriacou, N., Dobson, M., & Spanias, A. (2022) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie56618.2022.9962749 · Cited by 12

Toward a quantum future for South Africa

Forbes, A., Petruccione, F., & Roux, F. S. (2021) · AVS Quantum Science · doi:10.1116/5.0060426 · Cited by 10

Distributed quantum neural networks via partitioned features encoding

Kawase, Y. (2024) · Quantum Machine Intelligence · doi:10.1007/s42484-024-00153-4 · Cited by 10

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise

Rahman, R., Pokharel, A., & Nguyen, D. C. (2025) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw67362.2025.00171 · Cited by 10

Direct implementation of a perceptron in superconducting circuit quantum hardware

Pechal, M., Roy, F., Wilkinson, S. A., Salis, G., Werninghaus, M., Hartmann, M. J., & Filipp, S. (2022) · Physical Review Research · doi:10.1103/physrevresearch.4.033190 · Cited by 15

Machine and quantum learning for diamond-based quantum applications

Stone, D. G., & Bradac, C. (2023) · Materials for Quantum Technology · doi:10.1088/2633-4356/acb30a · Cited by 11

Optimal storage capacity of quantum Hopfield neural networks

Bödeker, L., Fiorelli, E., & Müller, M. (2023) · Physical Review Research · doi:10.1103/physrevresearch.5.023074 · Cited by 12

Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis

Terres-Escudero, E. B., Arias, D., Mentxaka, O., & Bringas, P. G. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-40725-3_27 · Cited by 10

Pure quantum gradient descent algorithm and full quantum variational eigensolver

Chen, R., Guang, Z., Guo, C., Feng, G., & Hou, S. (2023) · Frontiers of Physics · doi:10.1007/s11467-023-1346-7 · Cited by 14

Experimental Benchmarking of Quantum Machine Learning Classifiers

Aly, M., Fadaaq, S., Waraga, O. A., Nasir, Q., & Talib, M. W. A. (2023) · International Conference on Signal Processing and Information Security (ICSPIS) · doi:10.1109/icspis60075.2023.10343811 · Cited by 10

Impact of barren plateaus countermeasures on the quantum neural network capacity to learn

Cybulski, J. L., & Nguyen, T. T. (2023) · Quantum Information Processing · doi:10.1007/s11128-023-04187-8 · Cited by 10

Differentiable Quantum Architecture Search For Job Shop Scheduling Problem

Sun, Y., Liu, J., Ma, Y., & Volker Tresp, C. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10445875 · Cited by 10

Efficient quantum circuits for machine learning activation functions including constant T-depth ReLU

Zi, W., Wang, S., Kim, H., Sun, X., Chattopadhyay, A., & Rebentrost, P. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.043048 · Cited by 10

Comparison of Two Quantum Nearest Neighbor Classifiers on IBM’s Quantum Simulator

Hu, W. (2018) · Natural Science · doi:10.4236/ns.2018.103010 · Cited by 10

Classical vs. Quantum Machine Learning for Breast Cancer Detection

Díaz-Santos, S., & Escánez-Expósito, D. (2023) · International Conference on the Design of Reliable Communication Networks (DRCN) · doi:10.1109/drcn57075.2023.10108230 · Cited by 10

Quantum correlated cluster mean-field theory applied to the transverse Ising model

Zimmer, F. M., Schmidt, M., & Maziero, J. (2016) · Physical review. E · doi:10.1103/physreve.93.062116 · Cited by 10

Entanglement assisted training algorithm for supervised quantum classifiers

Adhikary, S. (2021) · Quantum Information Processing · doi:10.1007/s11128-021-03179-w · Cited by 11

Use of hybrid quantum-classical algorithms for enhancing biomarker classification

Astuti, A., Shih, P.-K., Lee, S., Mekala, V. R., Wijaya, E. B., & Ng, K. (2025) · PLoS ONE · doi:10.1371/journal.pone.0327928 · Cited by 10

Transfer of quantum information via a dissipative protocol for data classification

Korkmaz, U., & Türkpençe, D. (2021) · Physics Letters A · doi:10.1016/j.physleta.2021.127887 · Cited by 11

Resource frugal optimizer for quantum machine learning

Moussa, C., Gordon, M. H., Bączyk, M., Cerezo, M., Cincio, Ł., & Coles, P. J. (2023) · Quantum Science and Technology · doi:10.1088/2058-9565/acef55 · Cited by 12

Design of gender recognition system using quantum-based deep learning

Zaim, H. Ç., Yılmaz, M., & YOLAÇAN, E. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-09213-5 · Cited by 9

Conditions for a quadratic quantum speedup in nonlinear transforms with applications to energy contract pricing

Agliardi, G., O’Meara, C., Yogaraj, K., Ghosh, K., Sabino, P., Fernández-Campoamor, M., Cortiana, G., Moreno, J. H., Tacchino, F., Mezzacapo, A., et al. (2024) · Quantum Science and Technology · doi:10.1088/2058-9565/ada08c · Cited by 9

Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study

Nadim, M., Hassan, M. M., Mandal, A. K., Roy, C. K., Roy, B., & Schneider, K. A. (2025) · Quantum Machine Intelligence · doi:10.1007/s42484-025-00236-w · Cited by 9

A neuron based on a single flux qubit

Klenov, N. V., Kuznetsov, A. V., Schegolev, A. E., Soloviev, I. I., Bakurskiy, S. V., Kupriyanov, M. Y., & Tereshonok, M. V. (2019) · Low Temperature Physics · doi:10.1063/1.5111305 · Cited by 9

Quantum speedup of Bayes’ classifiers

Shao, C. (2019) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/ab5d77 · Cited by 9

Quantum case-based reasoning (qCBR)

Atchade-Adelomou, P., Casado-Faulí, D., Golobardes-Ribé, E., & Vilasis-Cardona, X. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-022-10238-w · Cited by 9

Two component quantum walk in one-dimensional lattice with hopping imbalance

Giri, M. K., Mondal, S., Das, B. P., & Mishra, T. (2021) · Scientific Reports · doi:10.1038/s41598-021-01230-5 · Cited by 9

Hybrid Quantum-Classical Autoencoders for End-to-End Radio Communication

Tabi, Z., Bakó, B., Nagy, D., Vaderna, P., Kallus, Z., Hága, P., & Zimborás, Z. (2022) · IEEE/ACM Symposium on Edge Computing (SEC) · doi:10.1109/sec54971.2022.00071 · Cited by 9

Quantum Robotics

Tandon, P., Lam, S., Shih, B., Mehta, T., Mitev, A., & Ong, Z. (2017) · Synthesis lectures on quantum computing · doi:10.2200/s00746ed1v01y201612qmc010 · Cited by 9

Learning algebraic models of quantum entanglement

Jaffali, H., & Oeding, L. (2020) · Quantum Information Processing · doi:10.1007/s11128-020-02785-4 · Cited by 11

Quantum Machine Learning

Schuld, M., & Petruccione, F. (2023) · Springer eBooks · doi:10.1007/978-1-4899-7502-7_913-2 · Cited by 9

Strong generalization in quantum neural networks

Jiang, J., Zhao, Y., Li, R., Li, C., Guo, Z., Fan, B., Li, X., Li, R., & Zhang, X. (2023) · Quantum Information Processing · doi:10.1007/s11128-023-04095-x · Cited by 8

Learning-Based Auction for Matching Demand and Supply of Holographic Digital Twin Over Immersive Communications

Zhang, X., Xu, M., Tan, R., & Niyato, D. T. (2023) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2023.3340548 · Cited by 8

Light‐Cone Feature Selection for Quantum Machine Learning

Suzuki, Y., Sakuma, R., & Kawaguchi, H. (2025) · Advanced Quantum Technologies · doi:10.1002/qute.202400647 · Cited by 9

Quantum-enhanced LSTM for predictive maintenance in industrial IoT systems

Sudharson, K., Varsha, S., Santhiya, R., & Rajalakshmi, D. (2025) · MethodsX · doi:10.1016/j.mex.2025.103653 · Cited by 8

Quantum Neural Networks in Magnetic Resonance Imaging: Advancing Diagnostic Precision Through Emerging Computational Paradigms

Rosa, E., Vaccaro, M., Placidi, E., D’Andrea, M. L., Liporace, F., Natali, G. L., Secinaro, A., & Napolitano, A. (2025) · Computers · doi:10.3390/computers14120529 · Cited by 8

Variational Quantum Computing for Quantum Simulation: Principles, Implementations, and Challenges

Galvão, L. Q., de Souza, A. B. M., Moret, M. A., & Cruz, C. (2025) · Brazilian Journal of Physics · doi:10.1007/s13538-025-01946-z · Cited by 8

Hybrid quantum-classical unsupervised data clustering based on the self-organizing feature map

Lazarev, I. D., Narożniak, M., Byrnes, T., & Pyrkov, A. N. (2025) · Physical Review A · doi:10.1103/physreva.111.012416 · Cited by 10

Evaluating the Performance of Some Local Optimizers for Variational Quantum Classifiers

Joshi, N., Katyayan, P., & Ahmed, S. A. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1817/1/012015 · Cited by 8

Noncompact uniform universal approximation

van Nuland, T. D. H. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.106181 · Cited by 8

Balanced quantum neural architecture search

Li, Y., Liu, G., Zhao, P., Shang, R., & Jiao, L. (2024) · Neurocomputing · doi:10.1016/j.neucom.2024.127860 · Cited by 8

Analysis of Quantum-Classical Hybrid Deep Learning for 6G Image Processing with Copyright Detection

Seol, J., Kim, H.-Y., Kancharla, A., & Kim, J. (2024) · Information · doi:10.3390/info15110727 · Cited by 8

Explainable quantum-enhanced machine learning for hypertension prediction

Donmez, T. B., & Kutlu, M. (2025) · The European Physical Journal Special Topics · doi:10.1140/epjs/s11734-025-01629-5 · Cited by 8

Quantum Information Processing manuscript No. (will be inserted by the editor) The quest for a Quantum Neural NetworkPreprint

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Analysis of the principle and state-of-art applications for quantum neural network

Li, B. (2023) · Theoretical and Natural Science · doi:10.54254/2753-8818/12/20230440

Design of a novel quantum neural network

Niu, X.-F., & Ma, W. (2020) · Laser Physics Letters · doi:10.1088/1612-202x/abaf58 · Cited by 7

Quantum neural networkPreprint

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Nonlinear quantum neuron: A fundamental building block for quantum neural networks

Yan, S., Qi, H., & Cui, W. (2020) · Physical Review A · doi:10.1103/physreva.102.052421 · Cited by 45