Quantum principal component analysis

Cited by (1,001)

Items 301–400 of 1,001

1. New frontiers of quantum computing in chemical engineering
   Akshay Ajagekar, Fengqi You · 2022 · Korean Journal of Chemical Engineering
2. Quantum support vector machine based on regularized Newton method
   Rui Zhang, Jian Wang, Nan Jiang, Hong Li, Zichen Wang · 2022 · Neural Networks
3. Variational quantum approximate support vector machine with inference transfer
   Siheon Park, Daniel K. Park, June‐Koo Kevin Rhee · 2023 · Scientific Reports
4. Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers
   Christopher M. Wilson, Johannes Otterbach, Nikolas Tezak, Robert Smith, Anthony Polloreno, Peter J. Karalekas, Steven Heidel, Mahabubul Alam, Gavin E. Crooks, Marcus Palmer Da Silva · 2018 · arXiv (Cornell University)
5. Quantum machine learning for natural language processing application
   Shyambabu Pandey, Nihar Jyoti Basisth, Tushar Sachan, Neha Kumari, Partha Pakray · 2023 · Physica A Statistical Mechanics and its Applications
6. Bibliometric Survey of Quantum Machine Learning
   Mandaar Bhaskar Pande, Preeti Mulay · 2020 · Science & Technology Libraries
7. Quantum k -fold cross-validation for nearest neighbor classification algorithm
   Jing Li, Fei Gao, Song Lin, Mingchao Guo, Yongmei Li, Hailing Liu, Su‐Juan Qin, Qiaoyan Wen · 2022 · Physica A Statistical Mechanics and its Applications
8. Reachability analysis of quantum Markov decision processes
   Shenggang Ying, Mingsheng Ying · 2018 · Information and Computation
9. Quantum Permutation Synchronization
   Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J. Guibas · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
10. New trends in quantum machine learning (a)
    Lorenzo Buffoni, Filippo Caruso · 2020 · Europhysics Letters (EPL)
11. The Efficient Preparation of Normal Distributions in Quantum Registers
    Arthur G. Rattew, Yue Sun, Pierre Minssen, Marco Pistoia · 2021 · Quantum
12. Quantum k-means algorithm based on Manhattan distance
    Zhihao Wu, Tingting Song, Yanbing Zhang · 2021 · Quantum Information Processing
13. Optimal (controlled) quantum state preparation and improved unitary synthesis by quantum circuits with any number of ancillary qubits
    Pei Yuan, Shengyu Zhang · 2023 · Quantum
14. Machine Learning and Quantum Devices
    Marquardt, F. · 2021 · MPG.PuRe (Max Planck Society)
15. Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies
    Stefano Markidis · 2023 · Entropy
16. Brain Tumour Classification Using Quantum Support Vector Machine Learning Algorithm
    Tarun Kumar, Dilip Kumar, Gurmohan Singh · 2023 · IETE Journal of Research
17. Multivariate trace estimation in constant quantum depth
    Yihui Quek, Eneet Kaur, Mark M. Wilde · 2024 · Quantum
18. Quantum algorithm for the nonlinear dimensionality reduction with arbitrary kernel
    Yaochong Li, Ri‐Gui Zhou, Ruiqing Xu, WenWen Hu, Ping Fan · 2020 · Quantum Science and Technology
19. Quantum superposition inspired spiking neural network
    Yinqian Sun, Yi Zeng, Tielin Zhang · 2021 · iScience
20. Quantum Graph Neural Network Models for Materials Search
    Ju-Young Ryu, Eyuel Elala, June‐Koo Kevin Rhee · 2023 · Materials
21. Circuit Decomposition of Multicontrolled Special Unitary Single-Qubit Gates
    Rafaella F. Vale, Thiago Melo D. Azevedo, Ismael C. S. Araújo, Israel F. Araujo, Adenilton José da Silva · 2023 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
22. Network intrusion detection based on variational quantum convolution neural network
    Changqing Gong, Weiqi Guan, Hongsheng Zhu, Abdullah Gani, Han Qi · 2024 · The Journal of Supercomputing
23. Entropy power inequalities for qudits
    Koenraad M. R. Audenaert, Nilanjana Datta, Māris Ozols · 2016 · Journal of Mathematical Physics
24. Adaptive routing for quantum memory failures in the quantum Internet
    László Gyöngyösi, Sándor Imre · 2019 · Quantum Information Processing
25. Dense Quantum Measurement Theory
    Laszlo Gyongyosi, Sándor Imre · 2019 · Scientific Reports
26. Qubit-efficient entanglement spectroscopy using qubit resets
    Justin Yirka, Yiğit Subaşı · 2021 · Quantum
27. Climate Change Through Quantum Lens: Computing and Machine Learning
    Syed Masiur Rahman, Omar Hamad Alkhalaf, Md Shafiul Alam, Surya Prakash Tiwari, Md Shafiullah, Sarah Mohammed Al-Judaibi, Fahad Saleh Al–Ismail · 2024 · Earth Systems and Environment
28. One-to-many image generation model based on parameterized quantum circuits
    Jun-Jie Pei, Li‐Hua Gong, Li‐Guo Qin, Nanrun Zhou · 2025 · Digital Signal Processing
29. Quantum circuit design for objective function maximization in gate-model quantum computers
    Laszlo Gyongyosi, Sándor Imre · 2019 · Quantum Information Processing
30. Quantum Technology for Economists
    Isaiah Hull, Or Sattath, Eleni Diamanti, Goran P. Wendin · 2020 · Contributions to economics
31. Universal Adversarial Examples and Perturbations for Quantum Classifiers
    Weiyuan Gong, Dong-Ling Deng · 2021 · National Science Review
32. Fock state-enhanced expressivity of quantum machine learning models
    Beng Yee Gan, Daniel Leykam, Dimitris G. Angelakis · 2022 · EPJ Quantum Technology
33. A Variational Quantum Linear Solver Application to Discrete Finite-Element Methods
    Corey Jason Trahan, Mark Loveland, Noah A. Davis, Elizabeth Ellison · 2023 · Entropy
34. End-To-End Quantum Machine Learning Implemented with Controlled Quantum Dynamics
    Re-Bing Wu, Xi Cao, Pinchen Xie, Yu-xi Liu · 2020 · Physical Review Applied
35. Quantum-enhanced feature selection with forward selection and backward elimination
    Zhimin He, Lvzhou Li, Zhiming Huang, Haozhen Situ · 2018 · Quantum Information Processing
36. An improved quantum principal component analysis algorithm based on the quantum singular threshold method
    Jie Lin, Wan‐Su Bao, Shuo Zhang, Tan Li, Xiang Wang · 2019 · Physics Letters A
37. Principal component analysis of collective flow in relativistic heavy-ion collisions
    Ziming Liu, Wenbin Zhao, Huichao Song · 2019 · The European Physical Journal C
38. Quantum State Optimization and Computational Pathway Evaluation for Gate-Model Quantum Computers
    László Gyöngyösi · 2020 · Scientific Reports
39. Quantum dimensionality reduction by linear discriminant analysis
    Kai Yu, Song Lin, Gongde Guo · 2023 · Physica A Statistical Mechanics and its Applications
40. A quantum-inspired version of the nearest mean classifier
    Giuseppe Sergioli, Enrica Santucci, Luca Didaci, Jarosław Adam Miszczak, Roberto Giuntini · 2017 · Soft Computing
41. Generative training of quantum Boltzmann machines with hidden units
    Nathan Wiebe, Leonard Wossnig · 2019 · arXiv (Cornell University)
42. Quantum state tomography using quantum machine learning
    Nouhaila Innan, Owais Ishtiaq Siddiqui, Shivang Arora, Tamojit Ghosh, Yasemin Poyraz Kocak, Dominic Paragas, Abdullah Al Omar Galib, Muhammad Al-Zafar Khan, Mohamed Bennai · 2024 · Quantum Machine Intelligence
43. The potential of multidimensional photonic computing
    Ivonne Bente, Shabnam Taheriniya, Francesco Lenzini, Frank Brückerhoff‐Plückelmann, Michael Kues, Harish Bhaskaran, Christopher David Wright, Wolfram H. P. Pernice · 2025 · Nature Reviews Physics
44. A Quantum-inspired Version of the Classification Problem
    Giuseppe Sergioli, G. M. Bosyk, Enrica Santucci, Roberto Giuntini · 2017 · International Journal of Theoretical Physics
45. Experimental Realization of a Deterministic Quantum Router with Superconducting Quantum Circuits
    Zhiling Wang, Yukai Wu, Zenghui Bao, Yan Li, Cheng Ma, Haiyan Wang, Yipu Song, Hongyi Zhang, Luming Duan · 2021 · Physical Review Applied
46. Neural network-based prediction of the secret-key rate of quantum key distribution
    Min-Gang Zhou, Zhiping Liu, Wen‐Bo Liu, Chenlong Li, Jun-Lin Bai, Yi-Ran Xue, Yao Fu, Hua‐Lei Yin, Zeng‐Bing Chen · 2022 · Scientific Reports
47. Quantum Machine Learning in Prediction of Breast Cancer
    Jigna Bhupendra Prajapati, Himanshu Paliwal, Bhupendra Gopalbhai Prajapati, Surovi Saikia, Rajiv Pandey · 2023 · Studies in computational intelligence
48. Quantum reinforcement learning via policy iteration
    El Amine Cherrat, Iordanis Kerenidis, Anupam Prakash · 2023 · Quantum Machine Intelligence
49. Low-Rank Quantum State Preparation
    Israel F. Araujo, Carsten Blank, Ismael C. S. Araújo, Adenilton José da Silva · 2023 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
50. Efficient quantum circuit for singular-value thresholding
    Bojia Duan, Jiabin Yuan, Ying Liu, Dan Li · 2018 · Physical Review A
51. Quantum circulant preconditioner for a linear system of equations
    Changpeng Shao, Hua Xiang · 2018 · Physical Review A
52. The learnability of unknown quantum measurements
    Hao–Chung Cheng, Min-Hsiu Hsieh, Ping‐Cheng Yeh · 2016 · Quantum Information and Computation
53. Entanglement accessibility measures for the quantum Internet
    László Gyöngyösi, Sándor Imre · 2020 · Quantum Information Processing
54. Quantum Differentially Private Sparse Regression Learning
    Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao · 2022 · IEEE Transactions on Information Theory
55. An invitation to distributed quantum neural networks
    Lirandë Pira, Christopher Ferrie · 2023 · Quantum Machine Intelligence
56. Leveraging Quantum Kernel Support Vector Machine for breast cancer diagnosis from Digital Breast Tomosynthesis images
    R. V. Aswiga, S. Sridevi, Indira B · 2024 · Quantum Machine Intelligence
57. Topology adaption for the quantum Internet
    Laszlo Gyongyosi, Sándor Imre · 2018 · Quantum Information Processing
58. Experimental Quantum Stochastic Walks Simulating Associative Memory of Hopfield Neural Networks
    Hao Long Tang, Zhen Feng, Yinghan Wang, Peng-Cheng Lai, Chaoyue Wang, Zhuoyang Ye, Cheng-Kai Wang, Zi-Yu Shi, Tianyu Wang, Yuan Chen et al. · 2019 · Physical Review Applied
59. Machine learning and quantum devices
    Florian Marquardt · 2021 · SciPost Physics Lecture Notes
60. Quantum computation for pricing the collateralized debt obligations
    Hao Long Tang, Anurag Pal, Tian‐Yu Wang, Lu‐Feng Qiao, Jun Gao, Xian‐Min Jin · 2021 · Quantum Engineering
61. A Survey on Quantum Computational Finance for Derivatives Pricing and VaR
    Andrés Gómez, Álvaro Leitao, Alberto Manzano, Daniele Musso, María R. Nogueiras, Gustavo Ordóñez, Carlos Vázquez · 2022 · Archives of Computational Methods in Engineering
62. Covariance Matrix Preparation for Quantum Principal Component Analysis
    Max Hunter Gordon, Marco Cerezo, Łukasz Cincio, Patrick J. Coles · 2022 · PRX Quantum
63. Nonlinear transformations in quantum computation
    Zoë Holmes, Nolan J. Coble, Andrew T. Sornborger, Yiğit Subaşı · 2023 · Physical Review Research
64. Quantum Algorithms for Estimating Quantum Entropies
    Youle Wang, Benchi Zhao, Xin Wang · 2023 · Physical Review Applied
65. Quantum capsule networks
    Zidu Liu, Pei-Xin Shen, Weikang Li, L-M Duan, Dong-Ling Deng · 2022 · Quantum Science and Technology
66. Hybrid Quantum Convolutional Neural Networks for UWB Signal Classification
    Seon-Geun Jeong, Quang Vinh, Hae-Ji Hwang, Mikio Hasegawa, Hiroo Sekiya, Won–Joo Hwang · 2023 · IEEE Access
67. Survey of Quantum Generative Adversarial Networks (QGAN) to Generate Images
    Mohammadsaleh Pajuhanfard, Rasoul Kiani, Victor S. Sheng · 2024 · Mathematics
68. Quantum Computing for Advanced Driver Assistance Systems and Autonomous Vehicles: A Review
    Avantika Rattan, Abhishek Rudra Pal, Muralimohan Gurusamy · 2025 · IEEE Access
69. Quantum machine learning based wind turbine condition monitoring: State of the art and future prospects
    Zhefeng Zhang, Yueqi Wu, Xiandong Ma · 2025 · Energy Conversion and Management
70. A Simple Quantum Neural Net with a Periodic Activation Function
    Ammar Daskin · 2018 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
71. A Low-Complexity Quantum Principal Component Analysis Algorithm
    Chen He, Jiazhen Li, Weiqi Liu, Jinye Peng, Z. Jane Wang · 2022 · IEEE Transactions on Quantum Engineering
72. A brief introduction to quantum algorithms
    Shihao Zhang, Lvzhou Li · 2022 · CCF Transactions on High Performance Computing
73. Data centers with quantum random access memory and quantum networks
    Junyu Liu, Connor T. Hann, Liang Jiang · 2023 · Physical Review A
74. Routing space exploration for scalable routing in the quantum Internet
    László Gyöngyösi, Sándor Imre · 2020 · Scientific Reports
75. HQ-DCGAN: Hybrid quantum deep convolutional generative adversarial network approach for ECG generation
    Zhiguo Qu, Weilong Chen, Prayag Tiwari · 2024 · Knowledge-Based Systems
76. Quantum locally linear embedding for nonlinear dimensionality reduction
    Xi He, Sun Li, Chufan Lyu, Xiaoting Wang · 2020 · Quantum Information Processing
77. The Computational and Latency Advantage of Quantum Communication Networks
    Roberto Ferrara, Riccardo Bassoli, Christian Deppe, Frank H. P. Fitzek, Holger Boche · 2021 · IEEE Communications Magazine
78. wpScalable Quantum Neural Networks for Classification
    Jindi Wu, Zeyi Tao, Qun Li · 2022 · IEEE International Conference on Quantum Computing and Engineering (QCE)
79. Variational quantum one-class classifier
    Gunhee Park, Joonsuk Huh, Daniel K. Park · 2023 · Machine Learning Science and Technology
80. Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning
    Léo Monbroussou, Eliott Z. Mamon, Jonas Landman, Alex B. Grilo, R. Kukla, Elham Kashefi · 2025 · Quantum
81. Integration of Quantum Accelerators with High Performance Computing—A Review of Quantum Programming Tools
    Amr Elsharkawy, Xiao-Ting Michelle To, Philipp Seitz, Yanbin Chen, Yannick Stade, Manuel Geiger, Qunsheng Huang, Xiaorang Guo, Muhammad Arslan Ansari, Christian B. Mendl et al. · 2025 · ACM Transactions on Quantum Computing
82. A reconstruction algorithm for compressive quantum tomography using various measurement sets
    Zheng Kai, Kezhi Li, Shuang Cong · 2016 · Scientific Reports
83. Can small quantum systems learn
    Wiebe, Nathan, Grandade, Christopher · 2017 · Quantum Information and Computation
84. A novel image classification framework based on variational quantum algorithms
    Yixiong Chen · 2024 · Quantum Information Processing
85. Quantum neural networks with data re-uploading for urban traffic time series forecasting
    Nikolaos A. Schetakis, P. Bonfini, Negin Alisoltani, Konstantinos V. Blazakis, S. I. Tsintzos, Alexis Askitopoulos, Davit Aghamalyan, Panagiotis Fafoutellis, Eleni I. Vlahogianni · 2025 · Scientific Reports
86. A Proposal of Quantum-Inspired Machine Learning for Medical Purposes: An Application Case
    Domenico Pomarico, Annarita Fanizzi, Nicola Amoroso, R. Bellotti, Albino Biafora, Samantha Bove, Vittorio Didonna, Daniele La Forgia, Maria Irene Pastena, Pasquale Tamborra et al. · 2021 · Mathematics
87. A quantum‐based diagnostics approach for additive manufacturing machine
    Vishal Sharma, Shantanu Gupta, Gaurav Mehta, Bhupesh K. Lad · 2021 · IET Collaborative Intelligent Manufacturing
88. Compiling basic linear algebra subroutines for quantum computers
    Liming Zhao, Zhikuan Zhao, Patrick Rebentrost, Joseph F. Fitzsimons · 2021 · Quantum Machine Intelligence
89. Quantum approximate optimization for combinatorial problems with constraints
    Yue Ruan, Zhiqiang Yuan, Xiling Xue, Zhihao Liu · 2022 · Information Sciences
90. Quantum mixed state compiling
    Nic Ezzell, Elliott M. Ball, Aliza U. Siddiqui, Mark M. Wilde, Andrew T. Sornborger, Patrick J. Coles, Zoë Holmes · 2023 · Quantum Science and Technology
91. A Quantum Computational Approach to Correspondence Problems on Point Sets
    Vladislav Golyanik, Christian Theobalt · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
92. Predicting excited states from ground state wavefunction by supervised quantum machine learning
    Hiroki Kawai, Yuya O. Nakagawa · 2020 · Machine Learning Science and Technology
93. Dementia Prediction Applying Variational Quantum Classifier
    Daniel Sierra-Sosa, Juan D. Arcila-Moreno, Begonya García-Zapirain, Cristián Castillo-Olea, Adel Said Elmaghraby · 2020 · arXiv (Cornell University)
94. Quantum Transfer Learning with Adversarial Robustness for Classification of High‐Resolution Image Datasets
    Amena Khatun, Muhammad Usman · 2024 · Advanced Quantum Technologies
95. Quantum algorithms for scientific computing
    Rhonda Au-Yeung, Bruno Camino, Omer Rathore, Viv M. Kendon · 2024 · Reports on Progress in Physics
96. Demonstration of essentiality of entanglement in a Deutsch-like quantum algorithm
    He-Liang Huang, Ashutosh Goswami, Wan‐Su Bao, Prasanta Kumar Panigrahi · 2018 · Science China Physics Mechanics and Astronomy
97. Hybrid digital-analog simulation of many-body dynamics with superconducting qubits
    Бабухин Данила Валерьевич, A. A. Zhukov, W. V. Pogosov · 2020 · Physical Review A
98. Key questions for the quantum machine learner to ask themselves
    Nathan Wiebe · 2020 · New Journal of Physics
99. Quantum kernels to learn the phases of quantum matter
    Teresa Sancho-Lorente, Juan Román-Roche, David Zueco · 2022 · Physical Review A
100. Quantum algorithm for neighborhood preserving embedding
     Shi‐Jie Pan, Lin‐Chun Wan, Hailing Liu, Yusen Wu, Su‐Juan Qin, Qiaoyan Wen, Fei Gao · 2022 · Chinese Physics B