Quantum principal component analysis

Cited by (1,001)

Items 501–600 of 1,001

1. When Quantum Computation Meets Data Science: Making Data Science Quantum
   Yazhen Wang · 2022 · Harvard Data Science Review
2. Quantum kernels with Gaussian state encoding for machine learning
   Long Hin Li, Dan-Bo Zhang, Z.D. Wang · 2022 · Physics Letters A
3. Quantum spectral clustering algorithm for unsupervised learning
   Qingyu Li, Yuhan Huang, Shan Jin, Xiaokai Hou, Xiaoting Wang · 2022 · Science China Information Sciences
4. Information Encoding
   Maria Schuld, Francesco Petruccione · 2018 · Quantum science and technology
5. Obtaining a linear combination of the principal components of a matrix on quantum computers
   Ammar Daskin · 2016 · Quantum Information Processing
6. Quantum Lower Bound for Approximate Counting Via Laurent Polynomials
   Scott Aaronson, Robin Kothari, Kretschmer, William, Justin Thaler · 2018 · arXiv (Cornell University)
7. Revisiting dequantization and quantum advantage in learning tasks
   Jordan S. Cotler, Hsin-Yuan Huang, Jarrod R. McClean · 2021 · arXiv (Cornell University)
8. Quantum Computing for Climate Change Detection, Climate Modeling, and Climate Digital Twin
   Soronzonbold Otgonbaatar, Olli Nurmi, Mikael P. Johansson, Jarmo Mäkelä, tadeusz kocman, Piotr Gawron, Zbigniew Puchała, Jakub Mielzcarek, Artur Miroszewski, Corneliu Octavian Dumitru · 2023
9. Secret key rate proof of multicarrier continuous‐variable quantum key distribution
   László Gyöngyösi, Sándor Imre · 2019 · International Journal of Communication Systems
10. Diabetes Type 2: Poincar�Data Preprocessing for Quantum Machine Learning
    Sierra-Sosa, Daniel, D. Arcila-Moreno, Juan, Garcia-Zapirain, Begonya, Elmaghraby, Adel · 2021 · Computers, Materials & Continua
11. A quantum algorithm of K-means toward practical use
    Hiroshi Ohno · 2022 · Quantum Information Processing
12. Variational convolutional neural networks classifiers
    Fangyu Huang, Xiaoqing Tan, Rui Huang, Qingshan Xu · 2022 · Physica A Statistical Mechanics and its Applications
13. QSurfNet: a hybrid quantum convolutional neural network for surface defect recognition
    Shraddha Mishra, Chi‐Yi Tsai · 2023 · Quantum Information Processing
14. Rotationally Invariant Circuits: Universality with the Exchange Interaction and Two Ancilla Qubits
    Iman Marvian, Hanqing Liu, Austin Hulse · 2024 · Physical Review Letters
15. Statistical Complexity of Quantum Learning
    Leonardo Banchi, Jason L. Pereira, Sharu Theresa Jose, Osvaldo Simeone · 2024 · Advanced Quantum Technologies
16. A One-Query Lower Bound for Unitary Synthesis and Breaking Quantum Cryptography
    Alex Lombardi, Fermi Ma, John Wright · 2024 · ACM Symposium on Theory of Computing (STOC)
17. A Hybrid Transformer Architecture with a Quantized Self-Attention Mechanism Applied to Molecular Generation
    Anthony M. Smaldone, Yu Shee, Gregory W. Kyro, Marwa H. Farag, Zohim Chandani, Elica S. Kyoseva, Víctor S. Batista · 2025 · Journal of Chemical Theory and Computation
18. Quantum Artificial Intelligence Scalability in the NISQ Era: Pathways to Quantum Utility
    Giuliana Siddi Moreau, Lorenzo Pisani, Manuela Profir, Carlo Podda, Lidia Leoni, Giacomo Cao · 2025 · Advanced Quantum Technologies
19. Hybrid quantum-state joining and splitting assisted by quantum dots in one-side optical microcavities
    Ming‐Xing Luo, Song-Ya Ma, Xiu‐Bo Chen, Xiaojun Wang · 2015 · Physical Review A
20. Protocol for Implementing Quantum Nonparametric Learning with Trapped Ions
    Dan-Bo Zhang, Shi-Liang Zhu, Z. D. Wang · 2020 · Physical Review Letters
21. Circuit-based digital adiabatic quantum simulation and pseudoquantum simulation as new approaches to lattice gauge theory
    Xiaopeng Cui, Yu Shi, Ji-Chong Yang · 2020 · Journal of High Energy Physics
22. How to enhance quantum generative adversarial learning of noisy information
    Paolo Braccia, Filippo Caruso, Leonardo Banchi · 2021 · New Journal of Physics
23. Resource prioritization and balancing for the quantum internet
    László Gyöngyösi, Sándor Imre · 2020 · Scientific Reports
24. Quantum algorithm for gravitational-wave matched filtering
    Sijia Gao, F. J. Hayes, Sarah Croke, Christopher Messenger, John Veitch · 2022 · Physical Review Research
25. Quantum-Inspired Classical Algorithms for Singular Value Transformation
    Dhawal Jethwani, François Le Gall, Sanjay Kumar Singh · 2019 · arXiv (Cornell University)
26. Quantum Computing and Machine Learning Algorithms - A Review
    Iram Manan, Faisal Ur Rehman, Hanan Sharif, Naveed Riaz, Muhammad Atif, Muhammad Aqeel · 2022 · International Conference on Innovations in Computer Science & Software Engineering (ICONICS)
27. Quantum alternating operator ansatz for solving the minimum exact cover problem
    Shasha Wang, Hailing Liu, Yan-Qi Song, Fei Gao, Su‐Juan Qin, Qiaoyan Wen · 2023 · Physica A Statistical Mechanics and its Applications
28. Towards An End-To-End Approach For Quantum Principal Component Analysis
    Emanuele Dri, Antonello Aita, Tommaso Fioravanti, Giulia Franco, Edoardo Giusto, Giacomo Ranieri, Davide Corbelletto, Bartolomeo Montrucchio · 2023 · IEEE International Conference on Quantum Computing and Engineering (QCE)
29. Quantum image compression with autoencoders based on parameterized quantum circuits
    Hengyan Wang, Jing Tan, Yixiao Huang, Wenqiang Zheng · 2024 · Quantum Information Processing
30. A novel approach for quantum financial simulation and quantum state preparation
    Yen-Jui Chang, Wei‐Ting Wang, Hao-Yuan Chen, Shih-Wei Liao, Ching‐Ray Chang · 2024 · Quantum Machine Intelligence
31. Quantum simulation of discrete linear dynamical systems and simple iterative methods in linear algebra
    Shi Jin, Nana Liu · 2024 · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
32. Quantum support vector data description for anomaly detection
    Hyeondo Oh, Daniel K. Park · 2024 · Machine Learning Science and Technology
33. Artificial Intelligence in Quantum Communications: A Comprehensive Survey
    Istiak Mahmud, Ahmed Abdelhadi · 2025 · IEEE Access
34. An improved robust ADMM algorithm for quantum state tomography
    Kezhi Li, Hui Zhang, Sen Kuang, Fangfang Meng, Shuang Cong · 2016 · Quantum Information Processing
35. Quantum algorithm for MUSIC-based DOA estimation in hybrid MIMO systems
    Fan‐Xu Meng, Ze‐Tong Li, Xutao Yu, Zaichen Zhang · 2021 · Quantum Science and Technology
36. The Development of Quantum Machine Learning
    Khadijeh Najafi, Susanne F. Yelin, Xun Gao · 2022 · Harvard Data Science Review
37. Adapting the Harrow-Hassidim-Lloyd algorithm to quantum many-body theory
    Nishanth Baskaran, Abhishek Singh Rawat, Akshaya Jayashankar, Dibyajyoti Chakravarti, Kenji Sugisaki, Shibdas Roy, Sudhindu Bikash Mandal, D. Mukherjee, V. S. Prasannaa · 2023 · Physical Review Research
38. Quantum simulation of colour in perturbative quantum chromodynamics
    Herschel A. Chawdhry, Mathieu Pellen · 2023 · SciPost Physics
39. Quantum DeepONet: Neural operators accelerated by quantum computing
    Pengpeng Xiao, Muqing Zheng, Anran Jiao, Yang Xiu, Lu Lu · 2025 · Quantum
40. Learnable antinoise-receiver algorithm based on a quantum feedforward neural network in optical quantum communication
    Zhiguo Qu, Xinzhu Liu, Le Sun · 2022 · Physical Review A
41. Quantum Algorithm for Estimating Largest Eigenvalues
    Nhat A. Nghiem, Tzu-Chieh Wei · 2023 · Physics Letters A
42. Wave Matrix Lindbladization II: General Lindbladians, Linear Combinations, and Polynomials
    Dhrumil Patel, Mark M. Wilde · 2023 · Open Systems & Information Dynamics
43. Enhancing variational quantum state diagonalization using reinforcement learning techniques
    Akash Kundu, Przemysław Bedełek, Mateusz Ostaszewski, Onur Danaci, Yash J. Patel, Vedran Dunjko, Jarosław Adam Miszczak · 2024 · New Journal of Physics
44. A survey on quantum data mining algorithms: challenges, advances and future directions
    Han Qi, Liyuan Wang, Changqing Gong, Abdullah Gani · 2024 · Quantum Information Processing
45. A survey on quantum deep learning
    Huaiguang Wu, Jiahui Zhang, Lijie Wang, Daiyi Li, Delong Kong, Yucan Han · 2025 · The Journal of Supercomputing
46. Experimental demonstration of quantum-enhanced machine learning in a nitrogen-vacancy-center system
    Xiaolong Ouyang, Xianzhi Huang, Yukai Wu, W.-G. Zhang, Xunuo Wang, Huanlong Zhang, L. He, X.-Y. Chang, L.-M. Duan · 2020 · Physical Review A
47. Quantum gradient algorithm for general polynomials
    Pan Gao, Keren Li, Shijie Wei, Jiancun Gao, Guilu Long · 2021 · Physical Review A
48. Computing Eigenvalues of Diagonalizable Matrices on a Quantum Computer
    Changpeng Shao · 2022 · ACM Transactions on Quantum Computing
49. A Derivative-Free Method for Quantum Perceptron Training in Multi-layered Neural Networks
    Tariq Mahmood Khan, Antonio Robles‐Kelly · 2020 · Communications in computer and information science
50. Handling Non-unitaries in Quantum Circuit Equivalence Checking
    Lukas Burgholzer, Robert Wille · 2022 · Springer eBooks
51. Experimental Implementation of Quantum Algorithm for Association Rules Mining
    Chao‐Hua Yu · 2022 · IEEE Journal on Emerging and Selected Topics in Circuits and Systems
52. Introduction
    Maria Schuld, Francesco Petruccione · 2018 · Quantum science and technology
53. Quantum mean centering for block-encoding-based quantum algorithm
    Hailing Liu, Chao‐Hua Yu, Lin‐Chun Wan, Su‐Juan Qin, Fei Gao, Qiaoyan Wen · 2022 · Physica A Statistical Mechanics and its Applications
54. Improved Differential Privacy Noise Mechanism in Quantum Machine Learning
    Hang Yang, Xunbo Li, Zhigui Liu, Witold Pedrycz C · 2023 · IEEE Access
55. An efficient quantum algorithm for spectral estimation
    Adrian Steffens, Patrick Rebentrost, Iman Marvian, Jens Eisert, Seth Lloyd · 2017 · New Journal of Physics
56. Secret Key Rate Adaption for Multicarrier Continuous-Variable Quantum Key Distribution
    László Gyöngyösi, Sándor Imre · 2019 · SN Computer Science
57. Quantum correlation alignment for unsupervised domain adaptation
    Xi He · 2020 · Physical Review A
58. Quantum Gram-Schmidt processes and their application to efficient state readout for quantum algorithms
    Kaining Zhang, Min-Hsiu Hsieh, Liu Liu, Dacheng Tao · 2021 · Physical Review Research
59. State stabilization for gate-model quantum computers
    László Gyöngyösi, Sándor Imre · 2019 · Quantum Information Processing
60. Quantum AI: Achievements and Challenges in the Interplay of Quantum Computing and Artificial Intelligence
    Iñaki Fernández Pérez, Fernando De la Prieta, Sara Rodrı́guez, Juan M. Corchado, Javier Prieto · 2023 · Lecture notes in networks and systems
61. Quantum K-Nearest Neighbors: Utilizing QRAM and SWAP-Test Techniques for Enhanced Performance
    Alberto Maldonado-Romo, Jesús Yaljá Montiel-Pérez, Victor Onofre, Javier Maldonado-Romo, Humberto Sossa · 2024 · Mathematics
62. Federated quantum machine learning for drug discovery and healthcare
    Mandeep Kaur Saggi, Amandeep Singh Bhatia, Sabre Kais · 2024 · Annual reports in computational chemistry
63. A (t, n) threshold quantum secret sharing with authentication based on single photons
    Jie Zhang, Jie Zhang, Su‐Juan Qin, Zhengping Jin · 2025 · Quantum Information Processing
64. Virtual Channel Purification
    Zhenhuan Liu, Xingjian Zhang, Yue-Yang Fei, Zhenyu Cai · 2025 · PRX Quantum
65. Entanglement-induced provable and robust quantum learning advantages
    Haimeng Zhao, Dong-Ling Deng · 2025 · npj Quantum Information
66. Subcarrier Domain of Multicarrier Continuous-Variable Quantum Key Distribution
    László Gyöngyösi, Sándor Imre · 2019 · Journal of Statistical Physics
67. Singular value decomposition assisted multicarrier continuous-variable quantum key distribution
    László Gyöngyösi · 2019 · Theoretical Computer Science
68. Theory of quantum gravity information processing
    Laszlo Gyongyosi, Sándor Imre · 2019 · Quantum Engineering
69. A quantum active learning algorithm for sampling against adversarial attacks
    P A M Casares, M A Martin-Delgado · 2020 · New Journal of Physics
70. Statistical limits of supervised quantum learning
    Carlo Ciliberto, Andrea Rocchetto, Alessandro Rudi, Leonard Wossnig · 2020 · Physical Review A
71. Indoor–Outdoor Detection in Mobile Networks Using Quantum Machine Learning Approaches
    Frank Phillipson, Robert S. Wezeman, Irina Chiscop · 2021 · Computers
72. Quantum diffusion map for nonlinear dimensionality reduction
    Apimuk Sornsaeng, Ninnat Dangniam, Pantita Palittapongarnpim, Thiparat Chotibut · 2021 · Physical Review A
73. Discriminating Quantum States with Quantum Machine Learning
    David Quiroga, Prasanna Date, Raphael C. Pooser · 2021 · IEEE International Conference on Rebooting Computing (ICRC)
74. Quantum Machine Learning and Quantum Communication Networks: The 2030s and the Future
    Shweta Jain, Anju Gandhi, Sanjay Singla, Lucy Garg, Stuti Mehla · 2022 · International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)
75. An introduction to quantum computing for statisticians and data scientists
    Anna Lopatnikova, Minh‐Ngoc Tran, Scott A. Sisson · 2024 · Foundations of Data Science
76. Quantum computation based on photonic systems with two degrees of freedom assisted by the weak cross-Kerr nonlinearity
    Ming-Xing Luo, Hui-Ran Li, Hong Lai · 2016 · Scientific Reports
77. Correcting finite squeezing errors in continuous-variable cluster states
    Daiqin Su, Christian Weedbrook, Kamil Brádler · 2018 · Physical Review A
78. Quantum Collaborative K-means
    Kaoutar Benlamine, Younès Bennani, Nistor Grozavu, Basarab Mateï · 2020 · International Joint Conference on Neural Networks (IJCNN)
79. Universal control of quantum processes using sector-preserving channels
    Augustin Vanrietvelde, Giulio Chiribella · 2021 · Quantum Information and Computation
80. Quantum process tomography with unknown single-preparation input states: Concepts and application to the qubit pair with internal exchange coupling
    Yannick Deville, Alain Deville · 2020 · Physical Review A
81. MAQML: a Meta-approach to Quantum Machine Learning with Accentuated Sample Variations for Unobtrusive Mental Health Monitoring
    Anupama Padha, Anita Sahoo · 2023 · Quantum Machine Intelligence
82. Shallow quantum neural networks (SQNNs) with application to crack identification
    Meghashrita Das, Arundhuti Naskar, Pabitra Mitra, Biswajit Basu · 2024 · Applied Intelligence
83. Dimensionality Reduction for Data Analysis With Quantum Feature Learning
    Shyam R. Sihare · 2024 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
84. PQKELP: Projected Quantum Kernel Embedding based Link Prediction in dynamic networks
    Mukesh Kumar, Nisha Singh, Bhaskar Biswas · 2024 · Expert Systems with Applications
85. Self-adaptive physics-informed quantum machine learning for solving differential equations
    Abhishek Setty, Rasul Abdusalamov, Felix Motzoi · 2024 · Machine Learning Science and Technology
86. Leveraging Quantum Machine Learning to Address Class Imbalance: A Novel Approach for Enhanced Predictive Accuracy
    Seongjun Kwon, Jihye Huh, Sang Ji Kwon, Sang-ho Choi, Ohbyung Kwon · 2025 · Symmetry
87. Thermodynamic matrix exponentials and thermodynamic parallelism
    Samuel Duffield, Maxwell Aifer, Gavin E. Crooks, Thomas D. Ahle, Patrick J. Coles · 2025 · Physical Review Research
88. Diffusion-inspired quantum noise mitigation in parameterized quantum circuits
    Hoang-Quan Nguyen, Xuan-Bac Nguyen, Samuel Yen-Chi Chen, Hugh Churchill, Nicholas J. Borys, Samee U. Khan, Khoa Luu · 2025 · Quantum Machine Intelligence
89. A Systematic Review on Quantum Machine Learning Applications in Classification
    Ehsan MohammadiSavadkoohi, Niusha Shafiabady, James Vakilian · 2025 · IEEE Transactions on Artificial Intelligence
90. Enhancing the performance of variational quantum classifiers with hybrid autoencoders
    Georgios Maragkopoulos, Aikaterini Mandilara, Antonia Tsili, Dimitris Syvridis · 2025 · Quantum Information Processing
91. A hybrid quantum neural network for split learning
    Hevish Cowlessur, Chandra Thapa, Tansu Alpcan, Seyit Ahmet Camtepe · 2025 · Quantum Machine Intelligence
92. New approach of KNN Algorithm in quantum computing based on new design of quantum circuits
    Vu Tuan Hai, Phan Hoang Chuong, Pham The Bao · 2022 · Informatica
93. Quantum kernel logistic regression based Newton method
    Tong Ning, Youlong Yang, Zhenye Du · 2023 · Physica A Statistical Mechanics and its Applications
94. A multi-classification classifier based on variational quantum computation
    Jie Zhou, Dongfen Li, Yuqiao Tan, Xiaolong Yang, Yundan Zheng, Xiaofang Liu · 2023 · Quantum Information Processing
95. Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning ∗
    Qiuhao Chen, Yuxuan Du, Yuliang Jiao, Xiliang Lu, Xingyao Wu, Qi Zhao · 2024 · Quantum Science and Technology
96. Resource-efficient quantum principal component analysis
    Youle Wang, Yu H. Luo · 2024 · Quantum Science and Technology
97. Near-term quantum-classical associative adversarial networks
    Eric R. Anschuetz, Cristian Zanoci · 2019 · Physical Review A
98. Testing a quantum error-correcting code on various platforms
    Qihao Guo, Yuan-Yuan Zhao, Markus Grassl, Xinfang Nie, Guo‐Yong Xiang, Tao Xin, Zhang-Qi Yin, Bei Zeng · 2020 · 中国科学通报：英文版
99. Quantum semi-supervised kernel learning
    Seyran Saeedi, Aliakbar Panahi, Tom J. Arodz · 2021 · Quantum Machine Intelligence
100. Quantum Machine Learning
     Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakrabarti, Elizabeth Behrman · 2020 · De Gruyter eBooks