Quantum principal component analysis

Cited by (1,001)

Items 601–700 of 1,001

1. Efficient implementation of unitary transformations
   Seth Lloyd, Reevu Maity · 2019 · arXiv (Cornell University)
2. Gaussian quadrature inference for multicarrier continuous-variable quantum key distribution
   László Gyöngyösi, Sándor Imre · 2019 · Quantum Studies Mathematics and Foundations
3. Hardware-efficient quantum principal component analysis for medical image recognition
   Zidong Lin, Hongfeng Liu, Kai Tang, Yidai Liu, Liangyu Che, Xinyue Long, Xiangyu Wang, Yu-ang Fan, Keyi Huang, Xiaodong Yang et al. · 2024 · Frontiers of Physics
4. A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search
   Abhishek Sadhu, Aritra Sarkar, Akash Kundu · 2024 · Quantum Machine Intelligence
5. Quantum advantages for image filtering on images with efficient encoding and lower-bounded signal-to-noise ratio
   Zidong Cui, Shan Jin, Akira Sone, Xiaoting Wang · 2024 · Science China Physics Mechanics and Astronomy
6. Experimental demonstration of quantum continual learning with superconducting qubits
   Chuanyu Zhang, Zhide Lu, Liangtian Zhao, Shibo Xu, Weikang Li, Ke Wang, Jiachen Chen, Yaozu Wu, Feitong Jin, Xuhao Zhu et al. · 2026 · npj Quantum Information
7. Quantum Hamiltonian embedding of images for data reuploading classifiers
   Peiyong Wang, Casey R. Myers, Lloyd C. L. Hollenberg, Udaya Parampalli · 2025 · Quantum Machine Intelligence
8. Quantum technology: a financial risk assessment
   Phuong-Nam Nguyen · 2025 · Digital Finance
9. The Convergence of Distributed Computing and Quantum Computing: A Paradigm Shift in Computational Power
   Prudhvi Naayini, Chiranjeevi Bura, Anil Kumar Jonnalagadda · 2025 · International Journal Of Scientific Advances
10. LHQNN: sequential and non-sequential layered hybrid quantum neural networks for image classification
    Monika Kabir, Mohammed Golam Kaosar, Hamid Laga, Ferdous Ahmed Sohel · 2025 · Quantum Machine Intelligence
11. Quantum Machine Learning and Deep Learning: Fundamentals, Algorithms, Techniques, and Real-World Applications
    Maria Revythi, Γεωργία Κούκιου · 2025 · Machine Learning and Knowledge Extraction
12. Double-Bracket Quantum Algorithms for Quantum Imaginary-Time Evolution
    Marek Gluza, Jeongrak Son, Bi Hong Tiang, René Zander, Raphael Seidel, Yudai Suzuki, Zoë Holmes, Nelly H. Y. Ng · 2025 · Physical Review Letters
13. Objective function estimation for solving optimization problems in gate-model quantum computers
    László Gyöngyösi · 2020 · Scientific Reports
14. Invited: Trainable Discrete Feature Embeddings for Quantum Machine Learning
    Napat Thumwanit, Chayaphol Lortaraprasert, Rudy Raymond · 2021 · ACM/IEEE Design Automation Conference (DAC)
15. Quantum partial least squares regression algorithm for multiple correlation problem
    Yanyan Hou, Jian Li, Xiu‐Bo Chen, Yuan Tian · 2021 · Chinese Physics B
16. Quantum Support Vector Machine Based on Gradient Descent
    Hong Li, Nan Jiang, Rui Zhang, Zichen Wang, Hailiang Wang · 2022 · International Journal of Theoretical Physics
17. Communication-Efficient Quantum Algorithm for Distributed Machine Learning
    Hao Tang, Boning Li, Guoqing Wang, Haowei Xu, Changhao Li, Ariel Barr, Paola Cappellaro, Ju Li · 2023 · Physical Review Letters
18. Quantity study on a novel quantum neural network with alternately controlled gates for binary image classification
    Qi Bai, Xianliang Hu · 2023 · Quantum Information Processing
19. Analog Quantum Variational Embedding Classifier
    Rui Liang Yang, Samuel Bosch, Bobak T. Kiani, Seth Lloyd, Adrian Lupaşcu · 2023 · Physical Review Applied
20. Variational quantum algorithm for node embedding
    Zengrong Zhou, Hang Li, Gui‐Lu Long · 2023 · Fundamental Research
21. Evaluating the Impact of Noise on Variational Quantum Circuits in NISQ Era Devices
    Bikram Khanal, Pablo Rivas · 2023 · Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE)
22. Hybrid Toffoli gate on photons and quantum spins
    Ming-Xing Luo, Song-Ya Ma, Xiu‐Bo Chen, Xiaojun Wang · 2015 · Scientific Reports
23. Quantum-inspired algorithm for general minimum conical hull problems
    Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao · 2020 · Physical Review Research
24. Quantum polarimetry
    Aaron Z. Goldberg · 2022 · Progress in optics
25. Harnessing the power of quantum systems based on spin magnetic resonance: from ensembles to single spins
    Xing Rong, Dawei Lu, Xi Kong, Jianpei Geng, Ya Wang, Fazhan Shi, Chang‐Kui Duan, Jiangfeng Du · 2016 · Advances in Physics X
26. Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization
    Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao · 2018 · International Joint Conference on Artificial Intelligence
27. Quantum Higher Order Singular Value Decomposition
    Lejia Gu, Xiaoqiang Wang, Guofeng Zhang · 2019 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
28. Entanglement concentration service for the quantum Internet
    László Gyöngyösi, Sándor Imre · 2020 · Quantum Information Processing
29. Experimental Challenges of Implementing Quantum Phase Estimation Algorithms on IBM Quantum Computer
    Hamed Mohammadbagherpoor, Young-Hyun Oh, Anand Singh, Xianqing Yu, Andy Rindos · 2019 · arXiv (Cornell University)
30. QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems
    Jinjing Shi, Zimeng Xiao, Heyuan Shi, Yu Jiang, Xuelong Li · 2024 · ACM Transactions on Software Engineering and Methodology
31. Quantum‐Enhanced K‐Nearest Neighbors for Text Classification: A Hybrid Approach with Unified Circuit and Reduced Quantum Gates
    Amine Zeguendry, Zahi Jarir, Mohamed Quafafou · 2024 · Advanced Quantum Technologies
32. Efficient Variational Quantum Linear Solver for Structured Sparse Matrices
    Abeynaya Gnanasekaran, Amit Surana · 2024 · IEEE International Conference on Quantum Computing and Engineering (QCE)
33. Improving Data Encoding for Enhanced AI Performance in Complex Datasets via Quantum Feature Space Mapping: Harnessing Quantum Algorithms
    Gurpreet Singh Walia, Sathiya Priya S, KV Karthikeya, D. Suresh, P Sudheer, V. Syambabu · 2025 · International Conference on Pervasive Computational Technologies (ICPCT)
34. Pushing the boundary of quantum advantage in hard combinatorial optimization with probabilistic computers
    Shuvro Chowdhury, Navid Anjum Aadit, Andrea Grimaldi, Eleonora Raimondo, Atharva Raut, P. Aaron Lott, Johan H. Mentink, Marek M. Rams, Federico Ricci‐Tersenghi, M. Chiappini et al. · 2025 · Nature Communications
35. Learning Unitary Transformation by Quantum Machine Learning Model
    Yiming Huang, Xiaoyu Li, Yixuan Zhu, Hang Lei, Zhu Qing-sheng, Shan Lin Yang · 2021 · Computers, materials & continua/Computers, materials & continua (Print)
36. Qsun: an open-source platform towards practical quantum machine learning applications
    Quoc Chuong Nguyen, Le Bin Ho, Lan Nguyen Tran, Hung Q. Nguyen · 2022 · Machine Learning Science and Technology
37. PQKLP: Projected Quantum Kernel based Link Prediction in Dynamic Networks
    Mukesh Kumar, Shivansh Mishra, Bhaskar Biswas · 2022 · Computer Communications
38. Quantum Enhanced Machine Learning for Unobtrusive Stress Monitoring
    Anupama Padha, Anita Sahoo · 2022 · International Conference on Contemporary Computing
39. Machine and quantum learning for diamond-based quantum applications
    Dylan G. Stone, Carlo Bradac · 2023 · Materials for Quantum Technology
40. Quantum attacks on Beyond-Birthday-Bound MACs
    Hong-Wei Sun, Bin‐Bin Cai, Su‐Juan Qin, Qiaoyan Wen, Fei Gao · 2023 · Physica A Statistical Mechanics and its Applications
41. The power of one clean qubit in supervised machine learning
    Mahsa Karimi, Ali Javadi-Abhari, Christoph Simon, Roohollah Ghobadi · 2023 · Scientific Reports
42. Quantum density estimation with density matrices: Application to quantum anomaly detection
    Diego H. Useche, Oscar A. Bustos-Brinez, Joseph A. Gallego-Mejia, Fabio Augusto Gonzalez · 2024 · Physical Review A
43. Quantum-assisted Hilbert-space Gaussian process regression
    Ahmad Farooq, Cristian A. Galvis-Florez, Simo Särkkä · 2024 · Physical Review A
44. Efficient quantum circuits for machine learning activation functions including constant T-depth ReLU
    Wei Zi, Siyi Wang, Hyunji Kim, Xiaoming Sun, Anupam Chattopadhyay, Patrick Rebentrost · 2024 · Physical Review Research
45. Quantum phase transition detection via quantum support vector machine
    Youle Wang, Linyun Cao · 2024 · Quantum Science and Technology
46. Simulating non-completely positive actions via exponentiation of Hermitian-preserving maps
    Fuchuan Wei, Zhenhuan Liu, Guoding Liu, Zizhao Han, Dong-Ling Deng, Zhengwei Liu · 2024 · npj Quantum Information
47. Fast reconstruction of high-qubit-number quantum states via low-rate measurements
    Kai Li, Jiaojiao Zhang, Shuang Cong · 2017 · Physical Review A
48. Quantum subspace alignment for domain adaptation
    Xi He · 2020 · Physical Review A
49. Deterministic algorithms for compiling quantum circuits with recurrent patterns
    Davide Ferrari, Ivano Tavernelli, Michele Amoretti · 2021 · Quantum Information Processing
50. Statistical approach to quantum phase estimation
    Alexandria J. Moore, Yuchen Wang, Zixuan Hu, Sabre Kais, Andrew M. Weiner · 2021 · New Journal of Physics
51. Design of quantum neuron model for quantum neural networks
    Yao Zhang, Qiang Ni · 2021 · Quantum Engineering
52. Tight bound for estimating expectation values from a system of linear equations
    Abhijeet Alase, Robert R. Nerem, Mohsen Bagherimehrab, Peter Høyer, Barry C. Sanders · 2022 · Physical Review Research
53. Robust Quantum State Tomography Method for Quantum Sensing
    Ahmad Farooq, Uman Khalid, Junaid ur Rehman, Hyundong Shin · 2022 · Sensors
54. Quantum computational quantitative trading: high-frequency statistical arbitrage algorithm
    Xi‐Ning Zhuang, Zhao‐Yun Chen, Yu-Chun Wu, Guo‐Ping Guo · 2022 · New Journal of Physics
55. Quantum algorithms for SVD-based data representation and analysis
    Armando Bellante, Alessandro Luongo, Stefano Zanero · 2022 · Quantum Machine Intelligence
56. A Quantum Algorithm for Solving Eigenproblem of the Laplacian Matrix of a Fully Connected Weighted Graph
    Hailing Liu, Lin‐Chun Wan, Chao‐Hua Yu, Shi‐Jie Pan, Su‐Juan Qin, Fei Gao, Qiaoyan Wen · 2023 · Advanced Quantum Technologies
57. Quantum State Filter With Disturbance and Noise
    Jiaojiao Zhang, Shuang Cong, Qing Hua Ling, Kezhi Li, HERSCHEL A. RABITZ · 2019 · IEEE Transactions on Automatic Control
58. Classical Equivalent Quantum Unsupervised Learning Algorithms
    Prakhar Shrivastava, Kapil Kumar Soni, Akhtar Rasool · 2020 · Procedia Computer Science
59. Quantum algorithm for solving matrix equations of the form AX = B
    Xu Li, Xiaoqi Liu, Jin‐Min Liang, Jing Wang, Ming Li, Shu‐Qian Shen · 2022 · Laser Physics Letters
60. Quantum algorithm for logistic regression
    Hailing Liu, Chao‐Hua Yu, Yusen Wu, Shi‐Jie Pan, Su‐Juan Qin, Fei Gao, Qiaoyan Wen · 2019 · arXiv (Cornell University)
61. Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions
    Hayata Yamasaki, Sathyawageeswar Subramanian, Sho Sonoda, Masato Koashi · 2020 · arXiv (Cornell University)
62. Quantum State Discrimination for Supervised Classification
    Roberto Giuntini, Héctor Freytes, Daniel K. Park, Carsten Blank, Federico Holik, Keng Loon Chow, Giuseppe Sergioli · 2021 · arXiv (Cornell University)
63. Quantum Bayesian Neural Networks
    Noah Berner, Vincent Fortuin, Jonas Landman · 2021 · arXiv (Cornell University)
64. Position Papers for the ASCR Workshop on Basic Research Needs in Quantum Computing and Networking
    Pavel Lougovski, Ojas Parekh, Joe Broz, Mark Byrd, Yanne K. Chembo, Wibe Albert de Jong, Eden V. Figueroa, Travis S. Humble, Jeffrey M. Larson, Greg Quiroz et al. · 2023
65. Quantum approximate algorithm for NP optimization problems with constraints
    Ruan, Yue, Marsh, Samuel, Xue, Xilin, Li, Xi, Liu, Zhihao, Wang, Jingbo · 2020 · arXiv
66. Qudit machine learning
    Sebastián Roca-Jerat, Juan Román-Roche, David Zueco · 2024 · Machine Learning Science and Technology
67. Quantum Machine Learning: A Survey
    Pramoda Medisetty · 2024 · Journal of Electrical Systems
68. Autonomous stabilization with programmable stabilized state
    Ziqian Li, Tanay Roy, Yao Lu, Eliot Kapit, David Schuster · 2024 · Nature Communications
69. Quantum-classical separations in shallow-circuit-based learning with and without noises
    Zhihan Zhang, Weiyuan Gong, Weikang Li, Dong-Ling Deng · 2024 · Communications Physics
70. A Hybrid Quantum–Classical Architecture with Data Re-Uploading and Genetic Algorithm Optimization for Enhanced Image Classification
    Aksultan Mukhanbet, Beimbet Daribayev · 2025 · Computation
71. Diversity space of multicarrier continuous‐variable quantum key distribution
    László Gyöngyösi, Sándor Imre · 2019 · International Journal of Communication Systems
72. Solving generalized eigenvalue problems by ordinary differential equations on a quantum computer
    Changpeng Shao, Jin-Peng Liu · 2022 · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
73. Quantum Machine Learning
    2020 · Between science and economics
74. Quantum generative adversarial imitation learning
    Tailong Xiao, Jingzheng Huang, Hongjing Li, Jianping Fan B, Guihua Zeng · 2023 · New Journal of Physics
75. Resource frugal optimizer for quantum machine learning
    Charles Moussa, Max Hunter Gordon, Michał Bączyk, Marco Cerezo, Łukasz Cincio, Patrick J. Coles · 2023 · Quantum Science and Technology
76. Scalable quantum measurement error mitigation via conditional independence and transfer learning
    C. Lee, Daniel K. Park · 2023 · Machine Learning Science and Technology
77. Analysis of learnability of a novel hybrid quantum–classical convolutional neural network in image classification
    Tao 涛 Cheng 程, Run-Sheng Zhao, Shuang 爽 Wang 王, Rui 睿 Wang 王, Hong-Yang 鸿洋 Ma 马 · 2023 · Chinese Physics B
78. Generating Universal Adversarial Perturbations for Quantum Classifiers
    Gautham Anil, Vishnu Vinod, Apurva Narayan · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
79. A complexity efficient penta-diagonal quantum smoothing filter for bio-medical signal denoising: a study on ECG
    Mostafizur Rahaman Laskar, Sawon Pratiher, Amit Kumar Dutta, Nirmalya Ghosh, Amit Patra · 2024 · Scientific Reports
80. Error-tolerant quantum convolutional neural networks for symmetry-protected topological phases
    Petr Zapletal, Nathan A. McMahon, Michael J. Hartmann · 2024 · Physical Review Research
81. Clustering bike sharing stations using Quantum Machine Learning: A case study of Toronto, Canada
    Amirhossein Nourbakhshrezaei, Mojgan Jadidi, Kyarash Shahriari · 2024 · Transportation Research Interdisciplinary Perspectives
82. Expressibility-induced concentration of quantum neural tangent kernels
    Li-Wei Yu, Weikang Li, Qi Ye, Zhide Lu, Zizhao Han, Dong-Ling Deng · 2024 · Reports on Progress in Physics
83. An invitation to the sample complexity of quantum hypothesis testing
    Hao–Chung Cheng, Nilanjana Datta, Nana Liu, Theshani Nuradha, Robert Salzmann, Mark M. Wilde · 2025 · npj Quantum Information
84. Comparative analysis of quantum and classical support vector classifiers for software bug prediction: an exploratory study
    Md Nadim, Mohammad Mehedi Hassan, Ashis Kumar Mandal, Chanchal Kumar Roy, Banani Roy, Kevin A. Schneider · 2025 · Quantum Machine Intelligence
85. Dynamic Modeling and Quantum-Enhanced Forecasting of Multi-Seasonal Energy Prices in Simulated Microgrid Environments
    Ritesh Dash, Anupa Sinha, Kalvakurthi Jyotheeswara Reddy, C. Dhanamjayulu, Innocent Kamwa · 2025 · IEEE Access
86. Quantum algorithms for matrix geometric means
    Nana Liu, Qisheng Wang, Mark M. Wilde, Zhicheng Zhang · 2025 · npj Quantum Information
87. Quantum Minimum Distance Classifier
    Enrica Santucci · 2017 · Entropy
88. Quantum speedup of Bayes’ classifiers
    Changpeng Shao · 2019 · Journal of Physics A Mathematical and Theoretical
89. Quantum algorithms for group convolution, cross-correlation, and equivariant transformations
    Grecia Castelazo, Quynh T. Nguyen, Giacomo De Palma, Dirk R. Englund, Seth Lloyd, Bobak T. Kiani · 2022 · Physical Review A
90. OPTIC: A Practical Quantum Binary Classifier for Near-Term Quantum Computers
    Tirthak Patel, Daniel Silver, Devesh Tiwari · 2022 · Design, Automation, and Test in Europe
91. Survey on the Improvement and Application of HHL Algorithm
    Xiaonan Liu, Haoshan Xie, Zhengyu Liu, Chenyan Zhao · 2022 · Journal of Physics Conference Series
92. Improved Iterative Quantum Algorithm for Ground‐State Preparation
    Jin‐Min Liang, Qiao-Qiao Lv, Shu‐Qian Shen, Ming Li, Zhi‐Xi Wang, Shao-Ming Fei · 2022 · Advanced Quantum Technologies
93. How Can Resource-Exhausted Cities Get Out of “The Valley of Death”? An Evaluation Index System and Obstacle Degree Analysis of Green Sustainable Development
    Xinyu Zhuang, Xin Li, Yisong Xu · 2022 · International Journal of Environmental Research and Public Health
94. Quantum k -medoids algorithm using parallel amplitude estimation
    Yong-Mei Li, Hailing Liu, Shi‐Jie Pan, Su‐Juan Qin, Fei Gao, Dong-Xu Sun, Qiaoyan Wen · 2023 · Physical Review A
95. Evolution of Quantum Machine Learning and an Attempt of Its Application for SDN Intrusion Detection
    Aakash Ravindra Shinde, Shailesh Pramod Bendale · 2023 · Studies in computational intelligence
96. Exploring the Potential of Quantum-Based Machine Learning: A Comparative Study of QSVM and Classical Machine Learning Algorithms
    Zeynep Özpolat, Murat Karabatak · 2023 · International Symposium on Digital Forensics and Security (ISDFS)
97. Quantum error mitigation for rotation-symmetric bosonic codes with symmetry expansion
    Suguru Endo, Yasunari Suzuki, Kento Tsubouchi, Rui Asaoka, Kaoru Yamamoto, Yuichiro Matsuzaki, Yuuki Tokunaga · 2025 · Physical Review A
98. Quantum Robotics
    Prateek Tandon, Stanley Lam, Ben Shih, Tanay Mehta, Alex Mitev, Zhiyang Ong · 2017 · Synthesis lectures on quantum computing
99. Faster quantum ridge regression algorithm for prediction
    Menghan Chen, Chao‐Hua Yu, Gongde Guo, Song Lin · 2022 · International Journal of Machine Learning and Cybernetics
100. Experimental Quantum‐Enhanced Machine Learning in Spin‐Based Systems
     Xiangyu Wang, Zidong Lin, Liangyu Che, Han-Yu Chen, Dawei Lu · 2022 · Advanced Quantum Technologies