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ORCIDQuantum Machine Intelligence, Volume 7
Volume 7, Number 1, June 2025
- Sascha Mücke, Thore Gerlach, Nico Piatkowski:
Optimum-preserving QUBO parameter compression. 1 - Padmil Nayak, Karthick Seshadri:
Towards quantum amenable Bayesian networks: classical transformation to facilitate quantum inference. 2 - Juan E. Ardila-García, Vladimir Vargas-Calderón, Fabio A. González, Diego H. Useche, Herbert Vinck-Posada:
MEMO-QCD: quantum density estimation through memetic optimisation for quantum circuit design. 3 - Ioannis Liliopoulos, Georgios D. Varsamis, Kristin Milchanowski, Rafael Martin-Cuevas, Konstantina Safouri, Panagiotis Dimitrakis, Ioannis G. Karafyllidis:
Hybrid classical-quantum multilayer neural networks for monitoring agricultural activities using remote sensing data. 4 - Matteo Robbiati
, Juan M. Cruz-Martinez, Stefano Carrazza:
Determining probability density functions with adiabatic quantum computing. 5 - Hao Wang, Zixuan Liu, Zhixin Xie, Langyu Li, Zibo Miao, Wei Cui, Yu Pan:
Parallel Ising annealer via gradient-based Hamiltonian Monte Carlo. 6 - Haiyan Wang:
Several fitness functions and entanglement gates in quantum kernel generation. 7 - Madhav Narayan Bhat, Marco Russo, Luca P. Carloni, Giuseppe Di Guglielmo, Farah Fahim, Andy C. Y. Li, Gabriel N. Perdue:
Machine learning for arbitrary single-qubit rotations on an embedded device. 8 - Naushad Ahmad, Shubham Jas:
Quantum-inspired neural networks for time-series air pollution prediction and control of the most polluted region in the world. 9 - King Yiu Yu, Aritra Sarkar, Maximilian Rimbach-Russ, Ryoichi Ishihara, Sebastian Feld:
Transformer models for quantum gate set tomography. 10 - Alberto Regadío:
Exoplanet discovery with variational quantum circuits. 11 - Amandeep Singh Bhatia, Mandeep Kaur Saggi, Sabre Kais:
Application of quantum-inspired tensor networks to optimize federated learning systems. 12 - Temitope Adeniyi, Sathish A. P. Kumar:
Adaptive neural network for quantum error mitigation. 13 - Joe Gibbs, Zoë Holmes, Paul Stevenson:
Exploiting symmetries in nuclear Hamiltonians for ground state preparation. 14 - Giuseppe Montalbano, Leonardo Banchi:
Quantum adversarial learning for kernel methods. 15 - Apimuk Sornsaeng, Ninnat Dangniam, Thiparat Chotibut:
Correction to: Quantum next generation reservoir computing: an efficient quantum algorithm for forecasting quantum dynamics. 16 - Benjamin Rodrigues de Miranda, Domenica Dibenedetto, Niels M. P. Neumann, Ward van der Schoot:
Quantum variational rewinding for gravitational wave detection. 17 - Andrea Ceschini, Andrea Carbone, Alessandro Sebastianelli, Massimo Panella, Bertrand Le Saux:
On hybrid quanvolutional neural networks optimization. 18 - Akash Sinha, Antonio Macaluso, Matthias Klusch:
Nav-Q: quantum deep reinforcement learning for collision-free navigation of self-driving cars. 19 - Weijie Xiong, Giorgio Facelli, Mehrad Sahebi, Owen Agnel, Thiparat Chotibut, Supanut Thanasilp, Zoë Holmes:
On fundamental aspects of quantum extreme learning machines. 20 - Hiroshi Ohno:
Quantum inference for Bayesian networks: an empirical study. 21 - Johann Maximilian Zollner, Martin Werner:
A randomized transformation for data processing on quantum computers. 22 - A. Sam Joshua, N. Ramesh Babu, P. Balasubramaniam:
Crop leaf disease classification using fractional integral image enhancement and quantum convolutional neural networks approaches. 23 - Asitha Kottahachchi Kankanamge Don, Ibrahim Khalil:
QRLaXAI: quantum representation learning and explainable AI. 24 - Noah A. Crum, Leanto Sunny, Pooya Ronagh, Raymond Laflamme, Radhakrishnan Balu, George Siopsis:
Stochastic security as a performance metric for quantum-enhanced generative AI. 25 - Giovanni Acampora, Autilia Vitiello:
Guest editorial: topical collection of the 2023 workshop on quantum artificial intelligence. 26 - Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski:
Explaining quantum circuits with Shapley values: towards explainable quantum machine learning. 27 - Giuseppe Buonaiuto, Cosmo Lupo:
Machine learning with sub-diffraction resolution in the photon-counting regime. 28 - Yota Maeda, Hideaki Kawaguchi, Hiroyuki Tezuka:
Estimation of mutual information via quantum kernel methods. 29 - Shilpa M. Satre, Bharti Joshi:
Quantum image cryptography based on discrete chaotic maps. 30 - Osama Ahmed, Felix Tennie, Luca Magri:
Optimal training of finitely sampled quantum reservoir computers for forecasting of chaotic dynamics. 31 - Md. Nadim, Mohammad Mahdi Hassan, Ashis Kumar Mandal, Chanchal K. Roy, Banani Roy, Kevin A. Schneider:
Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study. 32 - Shikha Bangar, Leanto Sunny, Kübra Yeter-Aydeniz, George Siopsis:
Continuous-variable quantum Boltzmann machine. 33 - Tom Ewen, Ivica Turkalj, Patrick Holzer, Mark-Oliver Wolf:
Application of ZX-calculus to quantum architecture search. 34 - Peiyong Wang, Casey R. Myers, Lloyd C. L. Hollenberg, Udaya Parampalli:
Quantum Hamiltonian embedding of images for data reuploading classifiers. 35 - Sachin Khurana, Manisha J. Nene:
Integration of parameterized quantum circuits within classical neural network for financial time-series prediction. 36 - Valarmathi K, Mohnish Karthikeyan B., S. Navaneetha Krishnan:
An efficient prediction-based dynamic resource allocation framework in quantum cloud using knowledge-based offline reinforcement learning. 37 - Nishikanta Mohanty, Bikash K. Behera, Christopher Ferrie, Pravat Dash:
A quantum approach to synthetic minority oversampling technique (SMOTE). 38 - Bisma Majid, Shabir Ahmad Sofi, Zamrooda Jabeen:
Quantum machine learning: a systematic categorization based on learning paradigms, NISQ suitability, and fault tolerance. 39 - N. Taghadomi, A. Mani, A. Fahim, A. Bakouei:
Effective detection of quantum discord by using convolutional neural networks. 40 - Callum Duffy, Mohammad Hassanshahi, Marcin Jastrzebski, Sarah Malik:
Unsupervised beyond-standard-model event discovery at the LHC with a novel quantum autoencoder. 41 - Hao Wang, Zixuan Liu, Zhixin Xie, Langyu Li, Zibo Miao, Wei Cui, Yu Pan:
Publisher Correction: Parallel Ising annealer via gradient-based Hamiltonian Monte Carlo. 42 - Wolfgang Sakuler, Johannes M. Oberreuter, Riccardo Aiolfi, Luca Asproni, Branislav Roman, Jürgen Schiefer:
A real-world test of portfolio optimization with quantum annealing. 43 - Varun Malik, S. B. Goyal:
Quantum AI powered dynamic user profiling for next-generation personalized recommender system. 44 - Adarsh Kumar, Ali Ismail Awad, Gaurav Sharma, Rajalakshmi Krishnamurthi, Saurabh Jain, P. Srikanth, Kriti Sharma, Mustapha Hedabou, Surinder Sood:
Artificial intelligence and blockchain for quantum satellites and UAV-based communications: a review. 45 - Giuseppe Buonaiuto, Raffaele Guarasci, Giuseppe De Pietro, Massimo Esposito:
Multilingual multi-task quantum transfer learning. 46 - Angela Rosy Morgillo, Massimiliano F. Sacchi, Chiara Macchiavello:
Detecting Markovianity of quantum processes via recurrent neural networks. 47 - Alex Mossi, Bojan Zunkovic, Kyriakos Flouris:
A matrix product state model for simultaneous classification and generation. 48 - Diksha Sharma, Vivek Balasaheb Sabale, Parvinder Singh, Atul Kumar:
Harnessing quantum support vector machines for cross-domain classification of quantum states. 49 - Zihao Wang, Kar-Wai Fok, Vrizlynn L. L. Thing:
Network attack traffic detection with hybrid quantum-enhanced convolution neural network. 50 - Monika Kabir, Mohammed Kaosar, Hamid Laga, Ferdous Sohel:
LHQNN: sequential and non-sequential layered hybrid quantum neural networks for image classification. 51 - Oliver Sefrin, Sabine Wölk:
A hybrid learning agent for episodic learning tasks with unknown target distance. 52 - Maximilian Moll, Leonhard Kunczik:
A case study for cyber-attack detection using quantum variational circuits. 53 - Diego Carlos Luna-Márquez, Raúl Pinto-Elías, Tomás Pérez-Becerra, Andrea Magadán-Salazar, Nimrod González-Franco, Jorge Fuentes-Pacheco:
kNN classification using Hausdorff metric with quantum-based Euclidean distance. 54 - Hoang-Quan Nguyen, Xuan-Bac Nguyen, Samuel Yen-Chi Chen, Hugh Churchill, Nicholas Borys, Samee U. Khan, Khoa Luu:
Diffusion-inspired quantum noise mitigation in parameterized quantum circuits. 55 - Lucas Friedrich, Tiago de Souza Farias, Jonas Maziero:
Barren plateaus are amplified by the dimension of qudits. 56 - Debanjan Konar, Dheeraj Peddireddy, Bijaya K. Panigrahi, Vaneet Aggarwal:
Tensor ring optimized quantum-enhanced tensor neural networks. 57 - Jan Schnabel, Marco Roth:
Quantum kernel methods under scrutiny: a benchmarking study. 58 - Robin Frehner, Kurt Stockinger:
Applying quantum autoencoders for time series anomaly detection. 59 - Grégoire Barrué, Tony Quertier, Orlane Zang:
Layered uploading for quantum convolutional neural networks. 60 - Prasanna Date, Dong Jun Woun, Kathleen E. Hamilton, Eduardo Antonio Coello Pérez, Mayanka Chandrashekar, Francisco Rios, John Gounley, In-Saeng Suh, Travis S. Humble, Georgia D. Tourassi:
Adiabatic quantum support vector machines. 61 - Peiyong Wang, Casey R. Myers, Lloyd C. L. Hollenberg, Udaya Parampalli:
Let the quantum creep in: designing quantum neural network models by gradually swapping out classical components. 62 - Shuang Cong, Chenyu Su:
Reconstructing quantum states with VAE and CVAE. 63 - Gregoire Cattan, Juan A. Olmos, Yash Chauhan, Fabio Martínez:
Parkinson disease classification: a comparison of quantum and RBF kernels using support vector machine. 64
Volume 7, Number 2, December 2025
- Vladimir Vargas-Calderón:
Quantum deep sets and sequences. 65 - Ahmed A. Hussein, Ahmed M. Montaser, Hend A. Elsayed:
Skin cancer image classification using hybrid quantum deep learning model with BiLSTM and MobileNetV2. 66 - Kai Tang, Kai Xu:
Quantum self-attention for visual unsupervised clustering. 67 - Anindita Raychaudhuri, Arijit Dey:
Classical-quantum hybrid recommendation system based on collaborative filtering and demographics. 68 - Zachary Fillingham, Hossein Nevisi, Shirin Dora:
Optimisation of pulse waveforms for qubit gates using deep learning. 69 - Karthikeyan Rengasamy, Piyush Joshi, V. V. S. Raveendra:
Hybrid quantum error-corrected Hadamard edge detection using adaptive state-vector mean thresholding: HQEHED-AMT. 70 - Hinako Asaoka, Kazue Kudo:
Quantum autoencoders for image classification. 71 - Gennaro De Luca, Andrew Vlasic, Michael Vitz, Anh Pham:
Empirical power of quantum encoding methods for binary classification. 72 - Rocco Ballester, Jesús Cerquides, Luis Artiles:
Quantum federated learning: a comprehensive literature review of foundations, challenges, and future directions. 73 - Alexander Benítez-Buenache, Queralt Portell-Montserrat:
Bayesian Parameterized Quantum Circuit Optimization (BPQCO): a task and hardware-dependent approach. 85 - Anindita Raychaudhuri, Arijit Dey:
Correction: Classical-quantum hybrid recommendation system based on collaborative filtering and demographics. 74 - Ming-Fong Sie, Yen-Jui Chang, Chien-Lung Lin, Ching-Ray Chang, Shih-Wei Liao:
Efficient Bitcoin address classification using quantum-inspired feature selection. 75 - Hevish Cowlessur, Chandra Thapa, Tansu Alpcan, Seyit Camtepe:
A hybrid quantum neural network for split learning. 76 - Rebh Soltani, Emna Benmohamed, Hela Ltifi:
Quantum-enhanced cortical deep echo state network for fast and accurate speech emotion recognition. 77 - Akshay Bansal, Ian George, Soumik Ghosh, Jamie Sikora, Alice Zheng:
Online learning of a panoply of quantum objects. 78 - Renzo Testa, Alejandro Rodriguez-Garcia, Alberto d'Onofrio, Andrea Trombettoni, Fabio Benatti, Fabio Anselmi:
Increasing the quantum tunneling probability through a learned ancilla-assisted protocol. 79 - Chen-Yu Liu, En-Jui Kuo, Chu-Hsuan Abraham Lin, Jason Gemsun Young, Yeong-Jar Chang, Min-Hsiu Hsieh, Hsi-Sheng Goan:
Quantum-Train: rethinking hybrid quantum-classical machine learning in the model compression perspective. 80 - Valeria Repetto, Elia Giuseppe Ceroni, Giuseppe Buonaiuto, Romina D'Aurizio:
Quantum enhanced stratification of breast cancer: exploring quantum expressivity for real omics data. 81 - Hiroshi Ohno:
Quantum circuits for word embeddings. 82 - Muhammad Saood Sarwar, Shahzaib Ur Rehman:
Hybrid quantum-classical machine learning for enhanced PCOS classification. 83 - Zhipeng Xiao, Xiaoqing Tan, Daipengwei Bao, Rui Huang:
Complex-encoded quantum convolutional neural networks. 84 - David E. Bernal Neira, Robin A. Brown, Pratik Sathe, Filip A. Wudarski, Marco Pavone, Eleanor Gilbert Rieffel, Davide Venturelli:
Benchmarking the operation of quantum heuristics and Ising machines: scoring parameter setting strategies on optimization applications. 86 - Xiaoping Lou, Linghui Wang:
QuanFlex-GAN: a flexible algorithm for image generation via quantum generative modeling. 87 - Dániel T. R. Nagy, Csaba Czabán, Bence Bakó, Péter Hága, Zsófia Kallus, Zoltán Zimborás:
Hybrid quantum-classical reinforcement learning in latent observation spaces. 88 - Himanshu Sahu, Hari Prabhat Gupta, Vishnu Vardhan Puvvada, Rahul Mishra:
DevQCC: Device-Aware Quantum Circuit Cutting framework with applications in quantum machine learning. 89 - Muhammad Bagus Andra, Asri Rizki Yuliani, Jimmy Kadar, Ade Ramdan, Hilman F. Pardede:
Data augmentation in cancer image classification problem with quantum GAN. 90 - Aaron Mark Thomas, Harry Youel, Sharu Theresa Jose:
VAE-QWGAN: addressing mode collapse in quantum GANs via autoencoding priors. 91 - Chenghong Zhu, Hongshun Yao, Yingjian Liu, Xin Wang:
Optimizer-dependent generalization bound for quantum neural networks. 92 - Tejaswini G. Panse, Monica N. Kalbande, Rupali S. Balpande, Yashika A. Gaidhani, Yoginee Surendra Pethe, Nilesh Shelke, Vikrant S. Vairagade:
Predictive performance of nano-alumina and zeolite-based high-performance nano-engineered concrete: integrative application of quantum computing and machine learning with optimization techniques. 93 - Fabio A. González, Raúl Ramos-Pollán, Joseph A. Gallego-Mejia:
Kernel density matrices for probabilistic deep learning. 94 - Srinath Devale, Karthick Seshadri, S. Nagesh Bhattu:
Design and evaluation of a quantum variational graph auto-encoder using quantum graph neural networks. 95 - Vivek Mehta, Francesco Petruccione, Utpal Roy:
Quantum optical approach to the K-nearest neighbour algorithm. 96 - Liuke Xu, Taotao Zhao, He Li:
HiQC: hybrid quantum classical deep learning with parameter efficient quantum modules. 97 - Hideyuki Miyahara:
Information geometry of nonmonotonic quantum natural gradient. 98 - Jinyang Li, Yuhong Song, Yipei Liu, Jianli Pan, Lei Yang, Travis Humble, Weiwen Jiang:
QuSplit: achieving both high fidelity and throughput via job splitting on noisy quantum computers. 99 - Emiliano Tolotti, Enrico Blanzieri, Davide Pastorello:
A weighted quantum ensemble of homogeneous quantum classifiers. 100 - Alexander Mandl, Johanna Barzen, Frank Leymann, Daniel Vietz:
On reducing the amount of samples required for training of QNNs: constraints on the linear structure of the training data. 101 - Pablo Thomassin, Guillaume Guérard, Sonia Djebali, Vincent Marc Lambert:
A quantum model for constrained Markowitz modern portfolio using slack variables to process mixed-binary optimization under QAOA. 102 - Manuel Lautaro Hickmann, Pedro Alves, David Quero, Friedhelm Schwenker, Hans-Martin Rieser:
Hybrid quantum tensor networks for aeroelastic applications. 103 - Prokash Chandra Roy, Saikat Barua, Md. Razwanul Islam Tanvir, Freyana Zanain, M. R. C. Mahdy:
Generative reconstruction for irrecoverable erasure errors in quantum-corrupted images. 104 - Pablo A. Osorio-Marulanda, Ubaid Ullah, Guillermo Ruiz-Irastorza, Begoña García Zapirain:
Integrating quantum and classical machine learning for predicting remission in systemic lupus erythematosus. 105 - F. El Ayachi, M. El Baz:
Software bug prediction using entanglement-enhanced quantum support vector machines (E-QSVM). 106 - Ilmo Salmenperá, Frans Perkkola, Jukka K. Nurminen:
Feature permutation for quantum machine learning. 107 - Abhishek Gunjan, Siddhartha Bhattacharyya:
Explainable artificial intelligence enhanced quantum-inspired spider monkey optimization for a constrained portfolio optimization proble. 108 - Han-Xiao Tao, Jiaqi Hu, Re-Bing Wu:
Unleashing the expressive power of pulse-based quantum neural networks. 109 - Daniel Basilewitsch, João F. Bravo, Christian Tutschku, Frederick Struckmeier:
Quantum neural networks in practice: a comparative study with classical models from standard data sets to industrial images. 110 - Mazyar Taghavi, Javad Vahidi:
Quantum-inspired multi-agent reinforcement learning for exploration-exploitation optimization in UAV-assisted 6G network deployment. 111 - Giuseppe Sergioli, Andrés Camilo Granda Arango, Carlo Cuccu, Stefania Centrone, Carla Rieger, Roberto Giuntini:
Classification of quantum correlations via quantum-inspired machine learning. 112
Volume 7, Number 2, December 2025
- Patrick Odagiu, Vasilis Belis, Lennart Schulze, Panagiotis Kl. Barkoutsos, Michele Grossi, Florentin Reiter, Günther Dissertori, Ivano Tavernelli, Sofia Vallecorsa:
Learning reduced representations for quantum classifiers. 113 - Selim Romero, Shreyan Gupta, Victoria Gatlin, Robert S. Chapkin, James J. Cai:
Quantum annealing for enhanced feature selection in single-cell RNA sequencing data analysis. 114 - Shyam R. Sihare:
Quantum convolution image processing by quantum wavelet transform for extraction of features. 115 - Fabio A. González, Raúl Ramos-Pollán, Joseph Gallego:
Publisher Correction: Kernel density matrices for probabilistic deep learning. 116
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