The quest for a Quantum Neural Network

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Graph Generation for Quantum States Using Qiskit and Its Application for Quantum Neural Networks

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Hybrid Continuous Variational Quantum Neural Networks for Network Intrusion Detection

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Exploring Models, Training Methods, and Quantum Supremacy in Machine Learning and Quantum Computing

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Decoherence and Entanglement Simulation in a Model of Quantum Neural Network Based on Quantum Dots

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Implementation of a two-dimensional quantum walk using cross-Kerr nonlinearity

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Classifying data using near-term quantum devices

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Quantum Data Classification by a Dissipative Protocol with a Superconducting Quantum Circuit Implementation

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Self-tuning PID controller using quantum neural network with qubit-inspired neurons

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Quantum Machine Learning

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Hybrid Quantum‐Classical Inception Neural Network for Image Classification

Wang, L., Liu, Y., Ji, J., Meng, F., Zhang, Z., & Yu, X. (2025) · Advanced Quantum Technologies · doi:10.1002/qute.202400700 · Cited by 3

Nonlinear classification capability of quantum neural networks due to emergent quantum metastability

Boneberg, M., Carollo, F., & Lesanovsky, I. (2025) · Physical Review A · doi:10.1103/physreva.111.062405 · Cited by 5

Anomaly Detection Using Quantum Neural Networks

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Advancing AI with Quantum Computing: Synergies Between Quantum Neural Networks and Quantum Reinforcement Learning

Raval, A. S., & Oza, R. (2025) · Information systems engineering and management · doi:10.1007/978-3-031-99786-0_14 · Cited by 3

From feedforward to quantum: Exploring neural networks for predicting tensile strength in additively manufactured polylactic acid parts

Nikzad, M. H., Heidari‐Rarani, M., Rasti, R., Moghim, N., & Shetty, S. S. (2025) · Materials Today Communications · doi:10.1016/j.mtcomm.2025.113956 · Cited by 3

Post-Variational Quantum Neural Networks on a Hybrid HPC-QC System

Vandromme, M., & Tsuji, M. (2025) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1145/3731599.3767540 · Cited by 3

Quantum-enhanced dual-layer graph attention network for time-series forecasting

Tang, Y., Cai, Z., Zhang, Y., Gao, Z., & Yu, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-23574-y · Cited by 3

Comparative Benchmarking of Utility-Scale Quantum Emulators

Leonteva, A. O., Masella, G., Outteryck, M., Orioli, A. P., & Whitlock, S. (2025) · ACM Transactions on Quantum Computing · doi:10.1145/3776567 · Cited by 8

Almost fault-tolerant quantum machine learning with drastic overhead reduction

Kang, H., Kim, Y., Adermann, E., Sevior, M. E., & Usman, M. (2025) · Quantum Science and Technology · doi:10.1088/2058-9565/ae2157 · Cited by 4

Superior resilience to poisoning and amenability to unlearning in quantum machine learning

Chen, Y., & Zhang, S. (2026) · Nature Communications · doi:10.1038/s41467-026-70420-4 · Cited by 6

Toward Heterogeneous Quantum Federated Learning: Challenges and Solutions

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QU-Net: Quantum-Enhanced U-Net for Self Supervised Embedding and Classification of Skin Cancer Images

Halab, K., Marzoug, N., Meslouhi, O. E., Elassad, Z. E. A., & Akhloufi, M. A. (2025) · Big Data and Cognitive Computing · doi:10.3390/bdcc10010012 · Cited by 3

Enhanced hybrid quantum classical neural networks with novel encoding techniques for image recognition

Chowdary, K. A. S. K. R., & Janani, T. (2026) · Applied Soft Computing · doi:10.1016/j.asoc.2026.114856 · Cited by 3

QNet: A Quantum-Native Sequence Encoder Architecture

Day, W., Chen, H., & Sun, M.-T. (2023) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce57702.2023.00035 · Cited by 3

A systematic comparative analysis of Quantum mechanics-based image processing and denoising algorithms

Singh, B., Majumdar, S., & Indu, S. (2024) · Quantum Studies Mathematics and Foundations · doi:10.1007/s40509-024-00330-x · Cited by 3

Quantum Machine Learning Compiler for Hybrid Quantum-Classical Models

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Exploring the Role of Material Science in Advancing Quantum Machine Learning: A Scientometric Study

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Quantum-Enhanced Bioinspired Algorithms: An Overview of Optimization and Learning

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Theoretical framework for quantum associative memories

Labay-Mora, A., Fiorelli, E., Zambrini, R., & Giorgi, G. L. (2025) · Quantum Science and Technology · doi:10.1088/2058-9565/ade184 · Cited by 3

Medical image analysis: a systematization of knowledge on the convergence of AI and quantum computing

ElBedoui, K., Lakhal, N. B., & Barhoumi, W. (2025) · The Journal of Supercomputing · doi:10.1007/s11227-025-07789-4 · Cited by 3

International Research and Workforce Development in Machine Learning for Energy Applications - A Fulbright US Scholar Project

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Training an open quantum classifier

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Protecting security of quantum neural network with sampling checks

Zhang, Y., & Lu, H. C. (2023) · Frontiers in Physics · doi:10.3389/fphy.2023.1236828 · Cited by 4

Simulation of exceptional-point systems on quantum computers for quantum sensing

Waghela, C., & Dasgupta, S. (2024) · AVS Quantum Science · doi:10.1116/5.0172968 · Cited by 3

Estimating many properties of a quantum state via quantum reservoir processing

Li, Y., Ghosh, S., Shang, J., Xiong, Q., & Zhang, X. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.013211 · Cited by 5

Variational Quantum Algorithms in Finance

Cong, T. N. N., & Thi, H. L. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-3299-9_2 · Cited by 3

Quantum Machine Learning: Leveraging Quantum Computing for Enhanced Learning Algorithms

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Automated quantum system modeling with machine learning

Mukherjee, K., Schachenmayer, J., Whitlock, S., & Wüster, S. (2025) · Quantum Science and Technology · doi:10.1088/2058-9565/ada79a · Cited by 3

An Improved Quantum Nearest-Neighbor Algorithm

Zhang, Y., Bao, F., Jia, W., & Xu, C. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-3753-0_39 · Cited by 3

Approaches to Avoid Overfitting in a Quantum Perceptron

Neto, F. M. D. P., Filho, G. I. S., & Monteiro, C. A. (2020) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn48605.2020.9206741 · Cited by 3

Recent advances of quantum neural networks on the near term quantum processor

Lü, Y., Gao, Q. Z., Lü, J., Pan, Y., & Dong, D. (2021) · Scientia Sinica Technologica · doi:10.1360/sst-2020-0459 · Cited by 3

Experimental multi-state quantum discrimination through optical networks

Laneve, A., Geraldi, A., Hamiti, F., Mataloni, P., & Caruso, F. (2022) · Quantum Science and Technology · doi:10.1088/2058-9565/ac5a0f · Cited by 3

Minimal qubit representations of Hamiltonians via conserved charges

Gunderman, L. G., Jena, A., & Dellantonio, L. (2024) · Physical Review A · doi:10.1103/physreva.109.022618 · Cited by 6

A Quantum NeuroIS Data Analytics Architecture for the Usability Evaluation of Learning Management Systems

Valverde, R., Torres, B., & Motaghi, H. (2018) · Advances in computer and electrical engineering book series · doi:10.4018/978-1-5225-5219-2.ch009 · Cited by 3

Quantum machine learning

Lee, J., & Kim, S. (2025) · Advances in computers · doi:10.1016/bs.adcom.2025.06.002 · Cited by 3

Unitary Evolutions Sourced By Interacting Quantum Memories: Closed Quantum Systems Directing Themselves Using Their State Histories

Tavanfar, A., Parvizi, A., & Pezzutto, M. (2023) · Quantum · doi:10.22331/q-2023-05-15-1007 · Cited by 3

Evolution of entanglement in quantum neural network

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Recent Progress in Quantum Machine Learning

Bhatia, A. S., & Wong, R. (2021) · Advances in information security, privacy, and ethics book series · doi:10.4018/978-1-7998-6677-0.ch012 · Cited by 3

Amplitude-based implementation of the unit step function on a quantum computer

Koppe, J., & Wolf, M.-O. (2023) · Physical Review A · doi:10.1103/physreva.107.022606 · Cited by 3

Quantum Adiabatic Evolution for Global Optimization in Big DataPreprint

Imtiyaz, S. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1805.11479 · Cited by 3

Quantum algorithms for unsupervised machine learning and neural networks

Landman, J. (2021) · theses.fr (ABES) · doi:10.70675/fa419f8fzfcbdz4474z99b5z6485600ac3c8 · Cited by 8

Quantum Machine Learning

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Quantum Machine Learning (QML) for Irregular Complex Modulation of 8-QAM

Wahidin, W., Anwar, K., & Budiman, G. (2024) · IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE) · doi:10.1109/apace62360.2024.10876890 · Cited by 2

Implementing Hybrid Quantum Neural Networks for Accurate Wildfire Detection

Sarda, A. (2025) · International Conference on Communication Systems & Networks (COMSNETS) · doi:10.1109/comsnets63942.2025.10885552 · Cited by 2

High-expressibility quantum neural networks using only classical resources

Maronese, M., Ferrari, F., Vandelli, M., & Dragoni, D. (2026) · Quantum Machine Intelligence · doi:10.1007/s42484-026-00371-y · Cited by 2

Quantum AI in Drug Discovery: Bridging Gaps and Future Advancements

Sinha, G., Harshini, B. S., & Madhumitha (2025) · International Conference on Engineering Innovations and Technologies (ICoEIT) · doi:10.1109/icoeit63558.2025.11211747 · Cited by 2

Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning

Marcandelli, P., He, Y., Mariani, S., Siena, M., & Markidis, S. (2025) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce65121.2025.00185 · Cited by 2

Towards Quantum Machine Learning for Malicious Code Analysis

Lopez, J., Nowmi, S. R., Cadena, V., & Rahman, M. S. (2025) · IEEE International Conference on Quantum Computing and Engineering (QCE) · doi:10.1109/qce65121.2025.10321 · Cited by 2

Quantum convolution image processing by quantum wavelet transform for extraction of features

Sihare, S. R. (2025) · Quantum Machine Intelligence · doi:10.1007/s42484-025-00324-x · Cited by 3

Efficient and scalable branch-and-bound algorithm for exact qubit allocation

Valois, J.-P., Helbecque, G., & Melab, N. (2025) · Future Generation Computer Systems · doi:10.1016/j.future.2025.108342 · Cited by 2

Understanding qubit trajectories in parametrized quantum circuits

Oh, S., Im, C., Park, S., & Kim, J. (2025) · Physical Review A · doi:10.1103/1x3t-9kzq · Cited by 2

FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks

Innan, N., Marchisio, A., & Shafique, M. (2025) · IEEE International Conference on Quantum Artificial Intelligence (QAI) · doi:10.1109/qai63978.2025.00025 · Cited by 2

Quantum Approaches for the Unit Commitment Problem - a Literature Survey

Phillipson, F., & Muller, S. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-13855-2_1 · Cited by 2

Quantum Machine Learning for Cyber Threat Detection: Enhancing Security in the Quantum Era

Noor, M. A. (2025) · CyberSystem journal. · doi:10.57238/csj.2025.1015 · Cited by 2

Quantum neural networks for casting defect detection: a hybrid intelligence framework for smart manufacturing

Yousef, N., Parmar, C., Sata, A. V., & Edacherian, A. (2026) · Quantum Information Processing · doi:10.1007/s11128-026-05113-4 · Cited by 2

A Technical Review of Quantum Computing Use Cases for Finance and Economics

Hlatshwayo, M. Q., Babel, M., Islas-Sanchez, D., & Γεωργόπουλος, Κ. (2026) · Quantum Reports · doi:10.3390/quantum8010026 · Cited by 3

Quantum Convolutional Neural Networks: A Survey on Architectures, Applications, and Future Directions

Rahman, R., & Nguyen, D. C. (2026) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2026.3677762 · Cited by 4

Entanglement and classical simulability in quantum extreme-learning machines

Lorenzis, A. D., Casado, M. P., Gullo, N. L., Lux, T., Plastina, F., & Riera, A. (2026) · Physical Review Applied · doi:10.1103/891x-ltcy · Cited by 8

Intrinsic Preservation of Plasticity in Continual Quantum Learning

Chen, Y., & Zhang, S. (2026) · PRX Quantum · doi:10.1103/ry52-85ll · Cited by 4

Quantum and Classical Computing using Machine Learning Techniques

Padmakala, S. (2023) · International Conference on Sustainable Communication Networks and Application (ICSCNA) · doi:10.1109/icscna58489.2023.10370566 · Cited by 2

The Quantum Graph Recurrent Neural Network

Medisetty, P., Pallapothu, L. K. K., Evuru, P. C., Prakash, K. B., Vulavalapudi, V. M. S., & Varma, G. P. S. (2023) · International Conference On Smart Technologies For Smart Nation (SmartTechCon) · doi:10.1109/smarttechcon57526.2023.10391361 · Cited by 2

Utility of Quantum Kernel Machines in Remote Sensing Applications

Miroszewski, A., Saux, B. L., Longépé, N., & Nalepa, J. (2024) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss53475.2024.10640823 · Cited by 2

Quantum Hopfield model with dilute memories

Xie, R., & Kamenev, A. (2024) · Physical Review A · doi:10.1103/physreva.110.032418 · Cited by 2

kNN classification using Hausdorff metric with quantum-based Euclidean distance

Luna-Márquez, D. C., Pinto-Elías, R., Pérez-Becerra, T., Magadán-Salazar, A., González-Franco, N., & Fuentes-Pacheco, J. (2025) · Quantum Machine Intelligence · doi:10.1007/s42484-025-00275-3 · Cited by 2

AI-Driven Reverse Engineering of QML Models

Ghosh, A., & Ghosh, S. (2025) · International Symposium on Quality Electronic Design (ISQED) · doi:10.1109/isqed65160.2025.11014316 · Cited by 2

Quantum natural stochastic pairwise coordinate descent

Sohail, M. A., Heidari, M., & Pradhan, S. S. (2025) · npj Quantum Information · doi:10.1038/s41534-025-01047-4 · Cited by 2

Analysis of the quantum perceptron algorithm for classification of bank marketing data

Solikhun, Efendi, S., Zarlis, M., & Sihombing, P. (2023) · AIP conference proceedings · doi:10.1063/5.0129287 · Cited by 2

Implementation of a quantum machine learning model for the categorization and analysis of COVID-19 cases

Kadry, H., Samak, A. H., Ghorashi, S. A., Alhammad, S. M., Abukwaik, A. M., Taloba, A. I., & Zanaty, E. A. (2023) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-233633 · Cited by 2

Quantum-Enhanced Algorithmic Fairness and the Advancement of AI Integrity and Responsibility

Chintalapati, A., Enkhbat, K., Annamalai, R., Amali, G. B., Özaydin, F., & Noel, M. M. (2025) · Quantum Reports · doi:10.3390/quantum7030036 · Cited by 2

Physics and machine learning: Emerging paradigms

Guerrero, J. M., Lisboa, P. J. G., & Vellido, A. (2016) · RECERCAT (Consorci de Serveis Universitaris de Catalunya) · Cited by 2

Variational Circuits as Machine Learning Models

Schuld, M., & Petruccione, F. (2021) · Quantum science and technology · doi:10.1007/978-3-030-83098-4_5 · Cited by 3

An Assessment of Crop-Specific Land Cover Predictions Using High-Order Markov Chains and Deep Neural Networks

Sartore, L., Boryan, C. G., Dau, A., & Willis, P. (2023) · Journal of Data Science · doi:10.6339/23-jds1098 · Cited by 2

Constant-time quantum algorithm for homology detection in closed curves

Vu, N. A. N., Gu, X. D., & Wei, T.-C. (2023) · SciPost Physics · doi:10.21468/scipostphys.15.2.049 · Cited by 3

Recycling forward and backward frequency-multiplexed modes in a waveguide coupled to phased time-perturbed microrings for low-footprint neuromorphic computing

Jalili, S., Memarian, M., & Mehrany, K. (2022) · Optical Materials Express · doi:10.1364/ome.450226 · Cited by 2

Autonomous Perceptron Neural Network Inspired from Quantum computingPreprint

Zidan, M., Sagheer, A., & METWALLY, N. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1510.00556 · Cited by 2

Noise Mitigation An Efficient Approach for Quantum Convolutional Neural Networks to Enhance Performance in NISQPreprint

Ding, Y., Zhang, S., Li, X., Chang, Y., & Yan, L. (2024) · Research Square · doi:10.21203/rs.3.rs-4594670/v1 · Cited by 2

Apprentissage artificiel quantique

Benlamine, K. (2020) · theses.fr (ABES) · doi:10.70675/505407dcz47a5z4c4fz84cbzd0c742681596 · Cited by 2

Quantum kernel t-distributed stochastic neighbor embedding

Kawase, Y., Mitarai, K., & Fujii, K. (2024) · Physical Review Research · doi:10.1103/physrevresearch.6.043234 · Cited by 1

Quantum Transfer Learning for Breast Cancer Detection

Srivastava, A. K., Hussain, S., & Ghosh, S. (2025) · International Conference on Communication, Security and Artificial Intelligence (ICCSAI) · doi:10.1109/iccsai64074.2025.11064552 · Cited by 1

Analysis of Ansätze Expressibility and Complexity and Their Impact on Classification Accuracy Using QNN and QLSTM

Tripathi, S. M., Upadhyay, H., & Soni, J. (2025) · IEEE Access · doi:10.1109/access.2025.3604721 · Cited by 3

A speckle noise filtering method based on quantum–classical feature fusion neural networks with Monte Carlo Tree Search

Wang, L., Liu, Y., Meng, F., Zhang, Z., & Yu, X. (2025) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2025.10.038 · Cited by 1

Criticality and fragility in a quantum neural memory

Ullah, I., Khan, S., Noman, M., & Lang, M. (2025) · Chinese Physics B · doi:10.1088/1674-1056/ae2d36 · Cited by 1

Radar Signal Classification Based on Quantum‐Classical Hybrid Convolutional Neural Network

Fan, L., Wang, L., Mao, Y., Zhang, Z., & Yu, X. (2026) · Advanced Quantum Technologies · doi:10.1002/qute.202500323 · Cited by 1

Hybrid Quantum–Classical Models for Forecasting and Anomaly Detection on Edge IoT Devices

Hajjem, R., Azim, A., & Triki, M. (2025) · International Conference on Sciences and Techniques of Automatic Control and Computer Engineering · doi:10.1109/sta66620.2025.11364711 · Cited by 1

Toward Automated Quantum Machine Learning: A Review of Principles, Status, Advances, and A Pathway to AutoQML

Kahvazadeh, I., & Fong, A. C. (2025) · International Conference on Automation Technology (Automation) · doi:10.1109/automation66991.2025.11390016 · Cited by 1

A Novel Lightweight Hybrid MLP and Quantum Neural Network Model for Bit Error Rate Prediction in NOMA-Enabled Visible Light Communication Systems

Dixit, V., Unhelkar, B., Bansal, A., & Mittal, M. (2026) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2026.3669027 · Cited by 1

PhoRQNet: Photometric Redshift Estimator Using Quantum Neural Network

Biswàs, S., Ghosh, S., Ghosh, A., Deshpande, S., & Pal, A. (2025) · Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing · doi:10.1109/whispers69515.2025.11501581 · Cited by 1

On the capacity of a quantum perceptron for storing biased patterns

Benatti, F., Gramegna, G., Mancini, S., & Nwemadji, G. (2023) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/ad125b · Cited by 1

Enhancing Small Dataset Classification Using Projected Quantum Kernels with Convolutional Neural Networks

Alagiyawanna, A. M. A. S. D., Karunananda, A., Mahasinghe, A., & Silva, T. (2024) · SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI) · doi:10.1109/slaai-icai63667.2024.10844961 · Cited by 1

Revolutionizing Financial Services with Quantum Machine Learning Techniques

Jayakumar, D., & Selvaraj, S. (2024) · Semarak International Journal of Machine Learning · doi:10.37934/sijml.3.1.110 · Cited by 1

DEVELOPMENT OF HYBRID QUANTUM-CLASSICAL MODELS FOR COMPUTER VISION

Mukhanbet, A., Azatbekuly, N., & Daribayev, B. (2025) · Journal of problem in computer science and information technologies · doi:10.26577/jpcsit20253105 · Cited by 1

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

Schuld, M., Francesco, I. S., & Schuld, M. (2016)

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

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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