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Quantum 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
Generative model for learning quantum ensemble with optimal transport loss. 6 - Nouhaila Innan
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
Expressive quantum supervised machine learning using Kerr-nonlinear parametric oscillators. 14 - Yoshiaki Kawase
Distributed quantum neural networks via partitioned features encoding. 15 - Michal Koren
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
Parallel hybrid quantum-classical machine learning for kernelized time-series classification. 18 - Ebrahim Ardeshir-Larijani
Hybrid classical-quantum transfer learning for text classification. 19 - Kanimozhi T, Sridevi S
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
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
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
Correction: Learning with density matrices and random features. 30 - Teppei Suzuki
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
Quantum state reconstruction in a noisy environment via deep learning. 39 - Aswiga R. V
Leveraging Quantum Kernel Support Vector Machine for breast cancer diagnosis from Digital Breast Tomosynthesis images. 40 - John Mayfield
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
A hyperparameter study for quantum kernel methods. 44 - Rowan Pellow-Jarman
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
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
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
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
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
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 - Sujit Biswas, Rajat Subhra Goswami, K. Hemant Kumar Reddy:
A cluster-based quantum key distribution with dynamic node selection: an improved approach for scalability and security in quantum communication. 63 - Chang-Shing Lee, Mei-Hui Wang, Chih-Yu Chen, Sheng-Chi Yang, Marek Z. Reformat, Naoyuki Kubota, Amir Pourabdollah:
Integrating quantum CI and generative AI for Taiwanese/English co-learning. 64 - Nicolò Bonaldi, Martina Rossi, Daniele Mattioli, Michele Grapulin, Blanca Silva Fernández, Davide Caputo, Marco Magagnini, Arianna Osti, Fabio Veronese:
Boost clustering with Gaussian Boson Sampling: a quantum-classical hybrid approach. 65 - Alexander Diedrich, Stefan Windmann, Oliver Niggemann:
Solving industrial fault diagnosis problems with quantum computers. 66 - Kaitlin Gili, Guillermo Alonso, Maria Schuld:
An inductive bias from quantum mechanics: learning order effects with non-commuting measurements. 67 - Corrado Loglisci, Donato Malerba, Saverio Pascazio:
Quarta: quantum supervised and unsupervised learning for binary classification in domain-incremental learning. 68 - Ishaani Priyadarshini:
Swarm-intelligence-based quantum-inspired optimization techniques for enhancing algorithmic efficiency and empirical assessment. 69 - Sreeraj Rajan Warrier, D. Sri Harshavardhan Reddy, Sriya Bada, Rohith Achampeta, Sebastian Uppapalli, Jayasri Dontabhaktuni:
On-board classification of underwater images using hybrid classical-quantum CNN-based method. 70 - Mauro Mezzini, Fernando Cuartero Gomez, Jose Javier Paulet Gonzalez, Hernan Indibil de la Cruz Calvo, Vicente Pascual, Fernando L. Pelayo:
Polynomial quantum computing algorithms for solving the dualization problem for positive Boolean functions. 71 - Mohit Rohida, Alok Shukla, Prakash Vedula:
Hybrid classical-quantum image processing via polar Walsh basis functions. 72 - Fabrizio Riguzzi:
Quantum algorithms for weighted constrained sampling and weighted model counting. 73 - Hiroshi Ohno:
Bayesian network structure learning using quantum generative models. 74 - Shiyue Zhang, Aijuan Wang, Lusi Li:
Quantum-convolution-based hybrid neural network model for arrhythmia detection. 75 - Manuel P. Cuéllar:
What we can do with one qubit in quantum machine learning: ten classical machine learning problems that can be solved with a single qubit. 76 - Hiroshi Ohno:
Adaptive pruning algorithm using a quantum Fisher information matrix for parameterized quantum circuits. 77 - Anna Bernasconi, Alessandro Berti, Gianna M. Del Corso, Riccardo Guidotti, Alessandro Poggiali:
Quantum subroutine for variance estimation: algorithmic design and applications. 78 - Emmanuel Zambrini Cruzeiro, Christine De Mol, Serge Massar, Stefano Pironio:
Quantum-inspired classification based on quantum state discrimination. 79 - Ubaid Ullah, Danyal Maheshwari, Cristian Castillo Olea, Begoña García Zapirain:
Sarcopenia risk prediction and feature selection by using quantum machine learning algorithms. 80 - Shane McFarthing, Anban W. Pillay, Ilya Sinayskiy, Francesco Petruccione:
Classical ensembles of single-qubit quantum variational circuits for classification. 81 - Sreetama Das, Stefano Martina, Filippo Caruso:
The role of data embedding in equivariant quantum convolutional neural networks. 82 - David Winderl, Nicola Franco, Jeanette Miriam Lorenz:
Quantum neural networks under depolarization noise: exploring white-box attacks and defenses. 83 - Jianshe Xie, Cheng Liu, Yumin Dong:
An evolutionary quantum generative adversarial network. 84 - Francesca De Falco, Andrea Ceschini, Alessandro Sebastianelli, Bertrand Le Saux, Massimo Panella:
Quantum latent diffusion models. 85 - Fei Yan, Abdullah M. Iliyasu, Nianqiao Li, Ahmed S. Salama, Kaoru Hirota:
Quantum robotics: a review of emerging trends. 86 - Nicolò Bonaldi, Martina Rossi, Daniele Mattioli, Michele Grapulin, Blanca Silva Fernández, Davide Caputo, Marco Magagnini, Arianna Osti, Fabio Veronese:
Publisher Correction: Boost clustering with Gaussian Boson Sampling: a quantum-classical hybrid approach. 87 - Phuong-Nam Nguyen:
A quantum neural network for sequential data analysis in machine learning. 88 - Utkarsh Singh, Aaron Z. Goldberg, Khabat Heshami:
Coherent feed-forward quantum neural network. 89
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