Quantum Neural Networks

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8 papers in the last four weeks, up 167% on the four weeks before. 0.1% of all new papers.

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Hybrid quantum-classical neural network for sentiment analysis
Jul 2, 2026Giacomo Cappiello, Filippo Caruso, Xing Liang +1Sentiment Analysis Hybrid Quantum-Classical ML
Center for Quantum Mathematics, University of Southern Denmark, Campusvej 55, Odense, 5230, Denmark. · Dept. of Physics and Astronomy, Florence Univ., via Sansone 1, I-50019 Sesto Fiorentino, Italy. · School of Computer Science and Mathematics, Kingston University London, KT1 2EE, United Kingdom.
Ravines in quantum cost landscapes: opportunities for improved VQA predictions
Jul 1, 2026Felix J. Beckmann, João F. BravoQuantum Machine Learning Variational Quantum Algorithms
Fraunhofer Institute IAO, Stuttgart, Germany. · Karlsruhe Institute of Technology, Karlsruhe, Germany.
Bridging Quantum Computing Paradigms toward Semiconductor Yield: A Controlled CV-versus-DV Comparison on Wafer-Map Defect Classification
Jul 1, 2026Yeonhong Kim, Jonghyeok Im, Monu Nath Baitha +1Quantum Neural Networks Image Classification
Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Republic of Korea. · Department of Mechanical Engineering, Yonsei University, Seoul 03722, Republic of Korea. · School of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, India.
Beyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine Learning
Jun 30, 2026Kung-Ming Lan, Edward HuangQuantum Machine Learning Barren Plateaus
Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung 40704, Taiwan · Department of Industrial and Systems Engineering, 3306 Shelby Center, Auburn University, Auburn, AL, USA
A Coherence Law for Trainability in Noisy Equivariant Quantum Neural Networks
Jun 28, 2026Hassan Ugail, Newton HowardEquivariant Neural Networks Neural Network Training Dynamics
Centre for Visual Computing and Intelligent Systems University of Bradford United Kingdom · School of Individualized Study Rochester Institute of Technology United States
Exploring the Effects of Entanglement on Quantum Machine Learning of Pathogen Epitope-Receptor Binding
Jun 27, 2026Aspen Erlandsson Brisebois, Luis Pablo Gonzalez Dominguez, Shivansi Prajapati +8Quantum Feature Maps Quantum Machine Learning
Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, SK, Canada · Engineering Science, Faculty of Applied Science, University of Toronto, Toronto, ON, Canada · Department of Mathematics and Statistics, University of Saskatchewan, Saskatoon, SK, Canada +5
Parameter-Efficient Continuous-Variable Photonic Quantum Neural Networks for Edge Quantum AI: Demonstration in Oral Cancer Detection
Jun 26, 2026Akshay Bhagwan Sonawane, Sophie Choe, Lakshman TamilMedical Image Analysis Hybrid Quantum-Classical ML
Dept. of Electrical and Computer Engineering University of Texas at Dallas Richardson, TX 75080
Quantum Generative Diffusion Model for Real-World Time Series
Jun 25, 2026Jack Waller, Filippo Caruso, Dimitrios Makris +2Synthetic Data Augmentation Quantum Generative Modeling
School of Computer Science and Mathematics, Kingston University London, London, KT1 2EE, U.K.. · Department of Physics and Astronomy, University of Florence, Florence, Sesto Fiorentino 50019, Italy. · Department of Electronics and Electrical Engineering, Brunel University of London, London, UB8 3PH, U.K..
Scalable Message-Passing Quantum Graph Neural Networks in the Weisfeiler-Leman Hierarchy
Jun 25, 2026Snehal Raj, Brian Coyle, Léo Monbroussou +3GNN Expressivity Message Passing Neural Networks
1LIP6, CNRS, Sorbonne Universit´e, Paris, France · 2QC Ware, Palo Alto, USA and Paris, France · School of Informatics, University of Edinburgh, Edinburgh, UK +3
Tailor Made Embeddings for Quantum Machine Learning
Jun 24, 2026Aldo Lamarre, Dominik ŠafránekVariational Autoencoders Quantum Machine Learning
Department of Electrical Engineering, KAIST, Daejeon, South Korea · Center for Theoretical Physics of Complex Systems, Institute for Basic Science (IBS), Daejeon - 34126, Korea · Faculty of Mathematics and Physics, Charles University, Ke Karlovu 3, 121 16 Praha 2, Czech Republic
Decoherence as Defence and the Magnitude of Noise Regularisation: A Rigorous N -Qubit Theory of Stochastic Quantum Neural Networks for Adversarially Robust Network Intrusion Detection
Jun 23, 2026Gautier-Edouard Edouard FilardoNetwork Intrusion Detection Neural Network Robustness
CREOGN · Efrei Research Lab, Efrei Paris Panth´eon-Assas Universit´e, Villejuif, France
Quantum Convolutional Neural Networks for Groundwater Heat Plume Prediction: A Surrogate Modeling Approach
Jun 22, 2026Danyal Maheshwari, Julia Pelzer, Miriam SchulteNeural Surrogate Modeling Quantum Convolutional Neural Networks
Simulation of Large Systems, Institute for Parallel and Distributed Systems (IPVS),, University of Stuttgart, Stuttgart, Germany
Recursive QLSTM with Dynamic Variational Quantum Circuit Adaptation
Jun 22, 2026Samuel Yen-Chi Chen, Yifeng Peng, Jiun-Cheng Jiang +8Quantum Machine Learning Recurrent Neural Networks
Wells Fargo · Stevens Institute of Technology · National Taiwan University +3
Mitigating Measurement-Induced Training Instability in Hybrid Quantum Neural Networks for Protein Classification
Jun 21, 2026Milton Mondal, Sushovan Chanda, Mohamad Mahdi Alawieh +6Hybrid Quantum-Classical ML Quantum Neural Networks
Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Göttingen, Germany
Trainable Photonic Measurement for Physics-Informed PDE Learning
Jun 17, 2026Jiale Linghu, Hao Dong, Yangshuai WangNeural PDE Solvers Quantum Machine Learning
School of Mathematics and Statistics, Xidian University, Xi’an, Shaanxi, 710071, China. · Department of Mathematics, Faculty of Science, National University of Singapore, Singapore, 119077, Singapore.
Quantum Machine Learning for Industrial Applications
Jun 12, 2026Léo MonbroussouQuantum Convolutional Neural Networks Quantum Machine Learning
Sorbonne Université, Ecole Doctorale Informatique, Télécommunications et Electronique (n° 572), Computer Science
Higher-Order Token Interactions via Quantum Attention
Jun 10, 2026Jian Xu, Chao Li, Delu Zeng +2Hybrid Quantum-Classical ML Quantum Neural Networks
1RIKEN iTHEMS · 2RIKEN AIP · 3South China University of Technology +1
Analog Quantum Asynchronous Event-Based Graph Neural Network
Jun 9, 2026Kristian Sotirov, Shaheen Acheche, Antonio A. Gentile +1Graph Neural Networks Quantum Neural Networks
King’s Communications, Learning and Information Processing (KCLIP) lab within the Centre for Intelligent Information Processing Systems (CIIPS) at the Department of Engineering, King’s College London, London, WC2R 2LS, UK · Pasqal SAS, 24 Av. Emile Baudot, 91120 Palaiseau, France · Institute for Intelligent Networked Systems (INSI), Northeastern University London, One Portsoken Street, London E1 8PH, United Kingdom
Adaptive directional gradients for parameterised quantum circuits
Jun 8, 2026Brian Coyle, Snehal Raj, Virag Umathe +2Variational Quantum Circuits Adaptive Gradient Methods
School of Informatics, University of Edinburgh, Edinburgh, UK · LIP6, CNRS, Sorbonne Université, Paris, France · QC Ware, Palo Alto, USA and Paris, France +1
JGRA: Jacobian Geometry Robustness Assessment in NISQ Noise-Aware Quantum Neural Networks
Jun 8, 2026Gianluca Scanu, Luca Barletta, Stefano RiniNeural Network Robustness Quantum Machine Learning
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy. · Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University (NYCU), Hsinchu, Taiwan.
Quantum Global Variational Learning for Quantum Error Correction
Jun 7, 2026Shun Ryuzaki, Hideo MukaiQuantum Error Correction Variational Quantum Circuits
Computer Science Program, Graduate School of Science and Technology, Meiji University · Department of Computer Science, School of Science and Technology, Meiji University
Benchmarking Quantum Algorithmic Resilience for CVaR Portfolio Optimization: The Expressibility-Coherence Trade-off
Jun 5, 2026Prashik N. Somkuwar, K. Srinivasan, G. RaghavanVariational Quantum Circuits Portfolio Optimization
School of Quantum Technology, Defence Institute of Advanced Technology, Pune, India
QDS-SNN: Energy-efficient Quantum Deeply-Supervised Spiking Neural Network Algorithm for Traffic Sign Recognition
Jun 3, 2026Zhiguo Qu, Keqi Li, Le Sun +4Energy-Efficient ML Autonomous Driving Perception
School of Computer Science, School of Software, Nanjing University of Information Science and Technology, Nanjing 210044, China · School of Information, Yunnan University of Finance and Economics, Kunming 650221, China · Qatar Center for Quantum Computing, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar +1
QPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation
Jun 3, 2026Prerana Ramkumar, Nouhaila Innan, Muhammad ShafiqueScene Graph Generation Long-Tailed Classification
College of Engineering, American University of Sharjah, Sharjah, UAE · eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE · Center for Quantum and Topological Systems (CQTS), NYUAD Research Institute, NYUAD, Abu Dhabi, UAE
Scalable On-Hardware Training of Quantum Neural Networks and Application to Clinical Data Imputation
Jun 2, 2026Natansh Mathur, Panagiotis Kl. Barkoutsos, Masako Yamada +2Hybrid Quantum-Classical ML Quantum Neural Networks
IRIF, CNRS and Université Paris Cité and QC Ware, France · QC Ware, France · IonQ +2
Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study
May 27, 2026Sudip Vhaduri, Ryan Gammon, Sayanton DibboQuantum Convolutional Neural Networks Quantum Machine Learning
Department of Computer Science, University of Alabama, AL 35487 · Clemson University
Fermi-Dirac machines as quantizations of neurons
May 23, 2026Alexander He, Nana Liu, Mark M. WildeHybrid Quantum-Classical ML Quantum Neural Networks
Department of Physics, Cornell University, Ithaca, New York 14850, USA · Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai 200240, China · School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China +3
Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation
May 20, 2026Mohamed Khair Altrabulsi, Nouhaila Innan, Alberto Marchisio +2Robot Navigation Robotic RL
1eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE · Center for Quantum and Topological Systems (CQTS), NYUAD Research Institute, NYUAD, Abu Dhabi, UAE
Hybrid Quantum-Classical Neural Architecture Search
May 18, 2026Alberto Marchisio, Muhammad Kashif, Nouhaila Innan +1Quantum Machine Learning Hybrid Quantum-Classical ML
eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, United Arab Emirates · Center for Quantum and Topological Systems (CQTS), NYUAD Research Institute, NYUAD, Abu Dhabi, United Arab Emirates
QLIF-CAST: Quantum Leaky-Integrate-and-Fire for Time-Series Weather Forecasting
May 18, 2026Alberto Marchisio, Aayan Ebrahim, Nouhaila Innan +2Multivariate Time Series Forecasting Hybrid Quantum-Classical ML
eBrain Lab, Division of Engineering, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE · Center for Quantum and Topological Systems, NYUAD Research Institute, New York University Abu Dhabi, UAE

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Hybrid quantum-classical neural network for sentiment analysis

Giacomo Cappiello, Filippo Caruso, Xing Liang, Dimitrios Makris

Center for Quantum Mathematics, University of Southern Denmark, Campusvej 55, Odense, 5230, Denmark. · Dept. of Physics and Astronomy, Florence Univ., via Sansone 1, I-50019 Sesto Fiorentino, Italy. · School of Computer Science and Mathematics, Kingston University London, KT1 2EE, United Kingdom.

Sentiment Analysis Hybrid Quantum-Classical ML Text Classification Quantum Neural Networks

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Quantum machine learning has recently emerged as a promising paradigm that leverages the expressive power of quantum circuits to address complex learning tasks. In this work, we investigate the applicability of hybrid quantum-classical neural networks to sentiment analysis, a central problem in natural language processing. We focus on a dataset of tweets related to COVID-19, where the textual content is vectorized using TF-IDF and fed into both classical feedforward networks and hybrid architectures incorporating parameterized quantum circuits. Our results show that hybrid models can achieve accuracy comparable to the classical baseline, while exhibiting distinct learning dynamics, especially in terms of validation loss and accuracy, that suggest a richer representational capacity. Moreover, when applying transfer learning to an SMS spam classification task, the hybrid models consistently outperform the classical counterpart, achieving an accuracy increase of 15 percentage points (from 66% to 81%) on the spam class, demonstrating enhanced generalization. These findings highlight the feasibility of employing QML for natural language processing and point toward the potential advantages of hybrid models as quantum hardware continues to advance.

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