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Quantum 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 - Sara Giordano, Kornikar Sen, Miguel Angel Martin-Delgado:

Hybrid reward-driven reinforcement learning for efficient quantum circuit synthesis. 9 - 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

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