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ORCIDQuantum Machine Intelligence, Volume 8
Volume 8, Number 1, June 2026
- Eromanga Adermann, Hajime Suzuki, Muhammad Usman:
Variational quantum machine learning with quantum error detection. 1 - Mohamed Afane, Quanjiang Long, Haoting Shen, Ying Mao, Junaid Farooq, Ying Wang, Juntao Chen:
Differentiable architecture search for adversarially robust quantum computer vision. 2 - Scott Aaronson
, Andrew M. Childs, Edward Farhi, Aram W. Harrow, Barry C. Sanders:
Future of quantum computing. 3 - Yule Mayevsky, Akram Youssry, Ritik Sareen, Gerardo A. Paz-Silva, Alberto Peruzzo:
Quantum engineering of qudits with interpretable machine learning. 4 - Enhyeok Jang, Zihan Chen, Dongho Ha, Seungwoo Choi, Yongju Lee, Jaewon Kwon, Eddy Z. Zhang, Yipeng Huang, Won Woo Ro:
Layerwise retraining and freezing for multi-angle QAOA. 5 - Angshul Majumdar:
Quantum-stable robust principal component analysis: theory and evidence from NISQ regimes. 6 - Mazyar Taghavi, Javad Vahidi:
Q-CMAPO: A quantum-classical framework for balancing exploration and exploitation in multi-agent reinforcement learning. 7 - Angelo Impedovo, Vito Nicola Losavio, Corrado Loglisci:
Leveraging cloud-native infrastructure for dynamic and flexible quantum-classical MLOps. 8 - Sara Giordano, Kornikar Sen, Miguel Angel Martin-Delgado:
Hybrid reward-driven reinforcement learning for efficient quantum circuit synthesis. 9 - Guangxi Li, Mingrui Jing, Chenghong Zhu, Xin Wang:
Quantum latent diffusion model for high-dimensional state generation. 10 - Taisei Nohara, Itsuki Noda, Satoshi Oyama:
Positive-unlabeled learning for training an entanglement detector. 11 - Soumyadip Sahoo, Diptarka Mandal, Asfak Ali, Dmitrii I. Kaplun, Sergei Romanov, Ram Sarkar:
Entanglement-driven learning-based angle-encoded variational quantum neural network for image classification. 12 - Yelleti Vivek, Sri Krishna Vadlamani, Vadlamani Ravi, P. Radha Krishna:
Improved differential evolution based feature selection through chaos, quantum, and lasso logistic regression. 13 - Sara Tarquini, Daniele Dragoni, Matteo Vandelli, Francesco Tudisco:
Testing quantum and simulated annealers on the drone delivery packing problem. 14 - Riccardo Nembrini, Maurizio Ferrari Dacrema, Paolo Cremonesi:
Minor embedding for quantum annealing with reinforcement learning. 15 - Andris Ambainis, Debbie Lim:
Quantum algorithm for apprenticeship learning. 16 - Sanjai Pathak, Ashish Mani, Amlan Chatterjee:
A quantum-inspired salp swarm algorithm: leveraging harmonic oscillator principles for enhanced optimization. 17 - Haiwon Jang, Seungryeol Yang, Youngwoo Cho, Jongyeong Kim, Doohee Chung:
A study on a hybrid autoencoder-QLSTM model for time series forecasting based on quantum machine learning. 18 - Jesús Fuentes:
Quantum machine learning with canonical variables. 19 - Gubio Gomes de Lima, Tiago de Souza Farias, Alexandre C. Ricardo, Celso Jorge Villas-Bôas:
Assessing the advantages and limitations of quantum neural networks in regression tasks. 20 - Ziv Chen, Gal G. Shaviner, Hemanth Chandravamsi, Shimon Pisnoy, Steven H. Frankel, Uzi Pereg:
Quantum physics-informed neural networks for Maxwell's equations: circuit design, "black hole" barren plateaus mitigation, and GPU acceleration. 21 - Yukio-Pegio Gunji, Takumi Nakano, Yuta Jin, Andrew Adamatzky, Vasileios Basios, Andrei Yu. Khrennikov:
Quantum logic in laughter: standup and sketch comedy. 22 - Kangyu Zheng, Tianfan Fu, Zhiding Liang:
QCS-ADME: Quantum circuit search for drug property prediction with imbalanced data and regression adaptation. 23 - Rajganesh Nagarajan, Ramkumar Thirunavukarasu:
QoS-aware quantum service composition using multi-objective optimization. 24 - Marco Maronese, Francesco Ferrari, Matteo Vandelli, Daniele Dragoni:
High-expressibility quantum neural networks using only classical resources. 25 - Tim Schwägerl, Yahui Chai, Tobias Hartung, Karl Jansen, Stefan Kühn:
Benchmarking variational quantum algorithms for combinatorial optimization in practice. 26 - Franco Cirillo, Christian Esposito, Jung Taek Seo:
Benchmarking quantum machine learning methods for intrusion detection on noisy quantum computers. 27 - Debbie Lim, João F. Doriguello, Patrick Rebentrost:
Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. 28 - Hongshun Yao, Xia Liu, Mingrui Jing, Guangxi Li, Xin Wang:
LCQNN: linear combination of quantum neural networks. 29 - Prateek Jain, Param Pathak, Krishna Bhatia, Shalini Devendrababu, Srinjoy Ganguly:
Quantum-classical generative models for drug design. 30 - Sara Giordano, Kornikar Sen, Miguel Angel Martin-Delgado:
Publisher Correction: Hybrid reward-driven reinforcement learning for efficient quantum circuit synthesis. 31 - Yuqi Jiang, Xiangyue Wang, Zhiding Liang, Yan Li, Thomas Morstyn, Pedro L. S. Lopes, Matthew J. Brandsema:
QAOA-Driven PMU placement optimization with graph learning-based parameter initialization refinement. 32 - Patrick Holzer, Ivica Turkalj:
Spectral invariance and maximality properties of the frequency spectrum of quantum neural networks. 33 - Alessandro Poggiali, Jiwon Ju:
A more efficient quantum circuit for estimating the variance. 34 - Corrado Loglisci, Vito Nicola Losavio, Saverio Pascazio, Donato Malerba:
QURIOSO: Quantum gate parameter predictIon through quantum-enhanced long-short term memory. 35 - Yu Terada, Ken Arai, Yu Tanaka, Yota Maeda, Hiroshi Ueno, Hiroyuki Tezuka:
Quantum-enhanced causal discovery for a small number of samples. 36 - James B. Holliday, Eneko Osaba, Khoa Luu:
An advanced hybrid quantum tabu search approach to vehicle routing problems. 37 - Or Peretz, Michal Koren:
Quantum simulation of single-server Markovian queues: a dynamic amplification approach. 38 - Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto:
Time series generation for option pricing on quantum computers using tensor network. 39 - Shabnam Jabeen, Dmytro Kurdydyk, Aadi Palnitkar, Mihir Talati, Jeffrey Yan, Jinghong Yang:
Quantum machine learning for state tomography using classical data. 40 - Muhsin Tamturk, Eran Ginossar, Marco Carenzo:
Advantage with quantum reservoir computing in medical insurance and health data analysis. 41 - Yen Jui Chang, Wei-Ting Wang, Chen-Yu Liu, Yun-Yuan Wang, Ching-Ray Chang:
Quantum walks-based adaptive distribution generation with efficient CUDA-Q acceleration. 42 - Zihan Geng, Xinghua Wang, Xiaoran Li, Feng Zhang:
Quantum transformers for image classification: integrating variational quantum circuits and quantum wavelet KAN. 43 - Asitha Kottahachchi Kankanamge Don, Ibrahim Khalil:
Q-VFL: quantum-enhanced vertical federated learning with contrastive encoding for privacy-preserving medical AI. 44 - Sudipta Roy, Subrat Kumar Nayak, Debahuti Mishra:
Leveraging quantum-inspired explainable AI for PD diagnosis: A QIEAI-QKNN approach. 45 - Cyrille YetuYetu Kesiku, Begonya Garcia-Zapirain, Adel Said Elmaghraby:
Unlocking the power of quantum computing in biomedical NLP for lung cancer diagnosis. 46 - Akshit Gupta, Neeru Jindal:
A hybrid quantum-classical deep learning approach for gravitational wave detection. 47 - Neha Vinayak, Shandar Ahmad:
QXRNet: a hybrid CNN-QNN model with resolution-conditioned feature extraction and variational quantum circuit. 48 - Jesús Lozano-Cruz, Albert Nieto-Morales, Oriol Balló-Gimbernat, Adan Garriga, Antón Rodríguez-Otero, Alejandro Borrallo-Rentero:
Practical insights on the effect of different encodings, ansätze and measurements in quantum and hybrid convolutional neural networks. 49 - Nour Aburaed, Faisal Shah Khan, Mohammed Q. Alkhatib:
A review of quantum machine learning methods for remote sensing tasks. 50 - Hao Luo, Qianli Zhou, Lipeng Pan, Zhen Li, Yong Deng:
Attribute fusion-based evidential classifier on quantum circuits. 51 - Asma Al-Othni, Saif Al-Kuwari, Mohammad Mahdi Nasiri Fatmehsari, Kamila Zaman, Ebrahim Ardeshir-Larijani:
Hybrid quantum-classical generative adversarial networks with transfer learning. 52 - Koki Chinzei, Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima:
Resource-efficient equivariant quantum convolutional neural networks. 53 - Marta Gili, Paul San Sebastian, Ane Blázquez-García:
Optimization of flight routes: quantum approximate optimization algorithm for the tail assignment problem. 54 - Prashant Kumar Choudhary, Nouhaila Innan, Muhammad Shafique, Rajeev Singh:
HQNN-FSP: A hybrid classical-quantum neural network for regression-based financial stock market prediction. 55 - Mohemmed Sha, Mohamudha Parveen Rahamathulla, Shtwai Alsubai:
Quantum-inspired heuristics for secured healthcare predictions: a blockchain-integrated approach. 56 - Hrant Gharibyan, Hovnatan Karapetyan, Tigran Sedrakyan, Pero Subasic, Vincent Paul Su, Rudy H. Tanin, Hayk Tepanyan:
Quantum image loading and classification: experiments on utility-scale quantum computers. 57 - Oliver Sefrin, Manuel Radons, Lars Simon, Sabine Wölk:
Quantum reinforcement learning in dynamic environments. 58 - Cyrille YetuYetu Kesiku, Begonya Garcia-Zapirain, Adel Said Elmaghraby:
Publisher Correction: Unlocking the power of quantum computing in biomedical NLP for lung cancer diagnosis. 59 - Jiawen Li, Dongdong Li, Ziyang Wang, He Sun, Hongzhen Chen, Tianxiang Cui, Yujian Ye:
StateQ: A novel framework for intuitive and accessible quantum programming. 60 - Jack Y. Araz, Michael Spannowsky:
The role of data embedding in quantum autoencoders for improved anomaly detection. 61 - Minghua Pan, Wen Liu, Yichao Xu, Shaohua Sun, Fangli Yang:
Momentum-based quantum adversarial attack algorithm. 62 - Marta Gili, Eliana Fiorelli, Ane Blázquez-García, Gian Luca Giorgi, Roberta Zambrini:
Learning functions of quantum states with distributed architectures. 63 - Andrew Nader, Taha Hammadia, Danial Jafarigiv, Marthe Kassouf, Deepa Kundur, Mohsen Khalaf:
Triple-layer quantum defense: Quantum communication, sensing, and ML detection for power grid AGC security. 64
Volume 8, Number 2, December 2026
- Gilberto Cunha, Alexandra Ramôa, André Sequeira, Michael de Oliveira, Luís Soares Barbosa:
Quantum Bayesian networks can speed up reinforcement learning in partially observable environments. 65 - Fauzan Nusyura, Seri Mastura Mustaza, Aqilah Baseri Huddin, Retna Apsari, Muhammad Mukhlisin, Eni Dwi Wardihani, Norhana Arsad:
Bridging quantum light and computation: a comprehensive review of photonic technologies for quantum information science. 66 - Shuowei Ma, Junyu Liu:
The efficiency frontier: Classical shadows versus direct quantum measurement. 67 - Xiaoyu Sun, Mathieu Roget, Giuseppe Di Molfetta, Hachem Kadri:
On quantum perceptron learning via quantum search. 68 - Marco Vetrano, Tiziano Zingales, G. Massimo Palma, Salvatore Lorenzo:
Exoplanetary atmospheres retrieval via a quantum extreme learning machine. 69 - Diogo Ramos, Bruno Coutinho, Duarte Magano:
Network-based prediction of drug combinations with quantum annealing. 70 - Koki Chinzei, Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima:
Publisher Correction: Resource-efficient equivariant quantum convolutional neural networks. 71 - Fan Fan, Yilei Shi, Tobias Guggemos, Xiao Xiang Zhu:
Multitask learning for earth observation data classification with hybrid quantum network. 72 - Arturo Rodríguez-Almazán, Guillermo Rivas, Pablo Plaza-Martínez, Angélica González Arrieta, Ricardo S. Alonso:
Mitigating vanishing similarity in quantum kernels for DDoS attack detection. 73 - Sandip Dutta, Biswajit Basu, Soumen Roy, Utpal Roy:
Quantum-classical adaptive autoencoding of time-series signals for secure biometric authentication. 74 - Mohemmed Sha, Adel Binbusayyis:
Effective content-based image retrieval in deep reinforcement learning and quantum approach. 75 - Filippo Brozzi, Gloria Turati, Maurizio Ferrari Dacrema, Filippo Caruso, Paolo Cremonesi:
Hamiltonian expressibility for ansatz selection in variational quantum algorithms. 76 - Amin Asgari, Hossein Ebrahimnezhad, Mohammad Hossein Sedaaghi:
A hybrid convolutional vision transformer and quantum graph framework for medicinal plant classification. 77 - Abraham Itzhak Weinberg, Alessio Faccia:
Quantum algorithms: a new frontier in financial crime prevention. 78 - Shaswata Mahernob Sarkar, Sheikh Iftekhar Ahmed, Jishnu Mahmud, Shaikh Anowarul Fattah, Gaurav Sharma:
Selective feature re-encoded quantum convolutional neural network with joint optimization for image classification. 79 - Archit Chadalawada, Shaleen Bhatnagar:
QReduce: A novel quantum annealing approach for graph-based instance selection of high-fidelity training labels in supervised classification and regression datasets. 80
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