default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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 - 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-05-19 22:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
