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ORCIDQuantum Machine Intelligence, Volume 6
Volume 6, Number 1, June 2024
- Avi Vadali, Rutuja Kshirsagar, Prasanth Shyamsundar
, Gabriel N. Perdue:
Quantum circuit fidelity estimation using machine learning. 1 - Hao-Yuan Chen, Yen-Jui Chang, Shih-Wei Liao, Ching-Ray Chang:
Deep Q-learning with hybrid quantum neural network on solving maze problems. 2 - Lars Simon, Manuel Radons:
On neural quantum support vector machines. 3 - Yaniv Romano, Harel Primack, Talya Vaknin, Idan Meirzada, Ilan Karpas, Dov Furman, Chene Tradonsky, Ruti Ben-Shlomi:
Quantum sparse coding. 4 - Frederic Rapp, Marco Roth:
Quantum Gaussian process regression for Bayesian optimization. 5 - Hiroyuki Tezuka, Shumpei Uno, Naoki Yamamoto:
Generative model for learning quantum ensemble with optimal transport loss. 6 - Nouhaila Innan, Abhishek Sawaika, Ashim Dhor, Siddhant Dutta, Sairupa Thota, Husayn Gokal, Nandan Patel, Muhammad Al-Zafar Khan, Ioannis Theodonis, Mohamed Bennai:
Financial fraud detection using quantum graph neural networks. 7 - Jishnu Mahmud, Raisa Mashtura, Shaikh Anowarul Fattah, Mohammad Saquib:
Quantum convolutional neural networks with interaction layers for classification of classical data. 11 - Hiroshi Ohno:
Grover's search with learning oracle for constrained binary optimization problems. 12 - Giuseppe Buonaiuto, Raffaele Guarasci, Aniello Minutolo, Giuseppe De Pietro, Massimo Esposito:
Quantum transfer learning for acceptability judgements. 13 - Yuichiro Mori, Kouhei Nakaji, Yuichiro Matsuzaki, Shiro Kawabata:
Expressive quantum supervised machine learning using Kerr-nonlinear parametric oscillators. 14 - Yoshiaki Kawase:
Distributed quantum neural networks via partitioned features encoding. 15 - Michal Koren, Or Peretz:
A quantum procedure for estimating information gain in Boolean classification task. 16 - Aikaterini Mandilara, Babette Dellen, Uwe Jaekel, Themistoklis Valtinos, Dimitris Syvridis:
Classification of data with a qudit, a geometric approach. 17 - Jack S. Baker, Gilchan Park, Kwangmin Yu, Ara Ghukasyan, Oktay Göktas, Santosh Kumar Radha:
Parallel hybrid quantum-classical machine learning for kernelized time-series classification. 18 - Ebrahim Ardeshir-Larijani, Mohammad Mahdi Nasiri Fatmehsari:
Hybrid classical-quantum transfer learning for text classification. 19 - Kanimozhi T, Sridevi S, Valliammai M, Mohanraj J, Vinodh Kumar N, Amirthalingam Sathasivam:
Behavior prediction of fiber optic temperature sensor based on hybrid classical quantum regression model. 20 - Sean Tull, Razin A. Shaikh, Sara Sabrina Zemljic, Stephen Clark:
From conceptual spaces to quantum concepts: formalising and learning structured conceptual models. 21 - Or Peretz, Michal Koren:
A parameterized quantum circuit for estimating distribution measures. 22 - Enrico Zardini, Enrico Blanzieri, Davide Pastorello:
A quantum k-nearest neighbors algorithm based on the Euclidean distance estimation. 23 - Yen-Jui Chang, Wei-Ting Wang, Hao-Yuan Chen, Shih-Wei Liao, Ching-Ray Chang:
A novel approach for quantum financial simulation and quantum state preparation. 24 - Jamie Heredge, Charles D. Hill, Lloyd C. L. Hollenberg, Martin Sevior:
Permutation invariant encodings for quantum machine learning with point cloud data. 25 - Moe Hdaib, Sutharshan Rajasegarar, Lei Pan:
Quantum deep learning-based anomaly detection for enhanced network security. 26 - Sohum Thakkar, Skander Kazdaghli, Natansh Mathur, Iordanis Kerenidis, André J. Ferreira-Martins, Samurai Brito:
Improved financial forecasting via quantum machine learning. 27 - Nouhaila Innan, Owais Ishtiaq Siddiqui, Shivang Arora, Tamojit Ghosh, Yasemin Poyraz Koçak, Dominic Paragas, Abdullah Al Omar Galib, Muhammad Al-Zafar Khan, Mohamed Bennai:
Quantum state tomography using quantum machine learning. 28 - Vu Tuan Hai, Lawrence H. Le, The Bao Pham:
Exploring the features of quanvolutional neural networks for improved image classification. 29 - Fabio A. González, Joseph Alejandro Gallego, Santiago Toledo-Cortés, Vladimir Vargas-Calderón:
Correction: Learning with density matrices and random features. 30 - Teppei Suzuki, Takashi Hasebe, Tsubasa Miyazaki:
Quantum support vector machines for classification and regression on a trapped-ion quantum computer. 31 - Yang Qian, Yuxuan Du, Dacheng Tao:
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction. 32 - Yidong Liao, Min-Hsiu Hsieh, Chris Ferrie:
Quantum optimization for training quantum neural networks. 33 - Nishikanta Mohanty, Bikash K. Behera, Christopher Ferrie:
Solving the vehicle routing problem via quantum support vector machines. 34 - Charles London, Douglas Brown, Wenduan Xu, Sezen Vatansever, Christopher J. Langmead, Dimitri Kartsaklis, Stephen Clark, Konstantinos Meichanetzidis:
Peptide binding classification on quantum computers. 35
Volume 6, Number 2, December 2024
- Zhiqiang Cai, Jialin Chen, Ke Xu, Lingli Wang:
Recognizing good variational quantum circuits with Monte Carlo Tree Search. 36 - Nico Piatkowski, Christa Zoufal:
Quantum circuits for discrete graphical models. 37 - Ohad Amosy, Tamuz Danzig, Ohad Lev, Ely Porat, Gal Chechik, Adi Makmal:
Iteration-Free quantum approximate optimization algorithm using neural networks. 38 - Angela Rosy Morgillo, Stefano Mangini, Marco Piastra, Chiara Macchiavello:
Quantum state reconstruction in a noisy environment via deep learning. 39 - Aswiga R. V, Sridevi S, Indira B:
Leveraging Quantum Kernel Support Vector Machine for breast cancer diagnosis from Digital Breast Tomosynthesis images. 40 - John Mayfield, Issam El-Naqa:
Evaluation of VQC-LSTM for disability forecasting in multiple sclerosis using sequential multisequence MRI. 41 - Savvas Varsamopoulos, Evan Philip, Vincent E. Elfving, Herman W. T. van Vlijmen, Sairam Menon, Ann Vos, Natalia Dyubankova, Bert Torfs, Anthony Rowe:
Quantum extremal learning. 42 - Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo:
Federated quantum long short-term memory (FedQLSTM). 43 - Sebastian Egginger, Alona Sakhnenko, Jeanette Miriam Lorenz:
A hyperparameter study for quantum kernel methods. 44 - Rowan Pellow-Jarman, Anban W. Pillay, Ilya Sinayskiy, Francesco Petruccione:
Hybrid genetic optimization for quantum feature map design. 45 - Jose Falla, Quinn Langfitt, Yuri Alexeev, Ilya Safro:
Graph representation learning for parameter transferability in quantum approximate optimization algorithm. 46 - Hamza Baniata:
SoK: quantum computing methods for machine learning optimization. 47 - Riccardo Pellini, Maurizio Ferrari Dacrema:
Analyzing the effectiveness of quantum annealing with meta-learning. 48 - Abhishek Sadhu, Aritra Sarkar, Akash Kundu:
A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search. 49 - Ali Kookani, Yousef Mafi, Payman Kazemikhah, Hossein Aghababa, Kazim Fouladi, Masoud Barati:
XpookyNet: advancement in quantum system analysis through convolutional neural networks for detection of entanglement. 50 - Marco Baioletti, Francesco Santini:
An encoding of argumentation problems using quadratic unconstrained binary optimization. 51 - Lirandë Pira, Chris Ferrie:
On the interpretability of quantum neural networks. 52 - Rodrigo Coelho, André Sequeira, Luís Paulo Santos:
VQC-based reinforcement learning with data re-uploading: performance and trainability. 53 - Paolo Braccia, Pablo Bermejo, Lukasz Cincio, Marco Cerezo:
Computing exact moments of local random quantum circuits via tensor networks. 54 - Junyu Liu, Han Zheng, Masanori Hanada, Kanav Setia, Dan Wu:
Quantum power flows: from theory to practice. 55 - Donovan Slabbert, Matt Lourens, Francesco Petruccione:
Pulsar classification: comparing quantum convolutional neural networks and quantum support vector machines. 56 - Apimuk Sornsaeng, Ninnat Dangniam, Thiparat Chotibut:
Quantum next generation reservoir computing: an efficient quantum algorithm for forecasting quantum dynamics. 57 - Shrigyan Brahmachari, Josep Lumbreras, Marco Tomamichel:
Quantum contextual bandits and recommender systems for quantum data. 58 - Eric Wulff, Juan Pablo García Amboage, Marcel Aach, Thorsteinn Eli Gislason, Thorsteinn Kristinn Ingolfsson, Tomas Kristinn Ingolfsson, Edoardo Pasetto, Amer Delilbasic, Morris Riedel, Rakesh Sarma, Maria Girone, Andreas Lintermann:
Distributed hybrid quantum-classical performance prediction for hyperparameter optimization. 59 - Hadi Wazni, Kin Ian Lo, Lachlan McPheat, Mehrnoosh Sadrzadeh:
Large scale structure-aware pronoun resolution using quantum natural language processing. 60 - Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, Khoa Luu:
Quantum visual feature encoding revisited. 61 - Alessandro Berti, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti:
The role of encodings and distance metrics for the quantum nearest neighbor. 62
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