Quantum principal component analysis

Cited by (1,001)

Items 101–200 of 1,001

1. Projection-based runtime assertions for testing and debugging Quantum programs
   Gushu Li, Li Zhou, Nengkun Yu, Yufei Ding, Mingsheng Ying, Yuan Xie · 2020 · Proceedings of the ACM on Programming Languages
2. Variational quantum algorithm for the Poisson equation
   Hailing Liu, Yusen Wu, Lin‐Chun Wan, Shi‐Jie Pan, Su‐Juan Qin, Fei Gao, Qiaoyan Wen · 2021 · Physical Review A
3. Quantum Computational Finance: Quantum Algorithm for Portfolio Optimization
   Patrick Rebentrost, Seth Lloyd · 2024 · Künstliche Intell.
4. The Power of Block-Encoded Matrix Powers: Improved Regression Techniques via Faster Hamiltonian Simulation
   Chakraborty, Shantanav, Gilyén, András, Jeffery, Stacey · 2019 · Schloss Dagstuhl – Leibniz-Zentrum für Informatik
5. Quantum Algorithm for K-Nearest Neighbors Classification Based on the Metric of Hamming Distance
   Yue Ruan, Xiling Xue, Heng Liu, Jianing Tan, Xi Li · 2017 · International Journal of Theoretical Physics
6. Machine Learning Algorithms in Quantum Computing: A Survey
   Somayeh Bakhtiari Ramezani, Alexander Sommers, Harish Kumar Manchukonda, Shahram Rahimi, Amin Amirlatifi · 2020 · International Joint Conference on Neural Networks (IJCNN)
7. Quantum federated learning through blind quantum computing
   Weikang Li, Sirui Lu, Dong-Ling Deng · 2021 · Science China Physics Mechanics and Astronomy
8. Programmable Interference between Two Microwave Quantum Memories
   Yvonne Y. Gao, Brian Lester, Yaxing Zhang, Chen Wang, Serge Rosenblum, Luigi Frunzio, Liang Jiang, S. M. Girvin, Robert J. Schoelkopf · 2018 · Physical Review X
9. Quantum Perceptron Models
   Nathan Wiebe, Ashish Kapoor, Krysta M. Svore · 2016 · arXiv (Cornell University)
10. Deep Reinforcement Learning With Quantum-Inspired Experience Replay
    Qing Wei, Hailan Ma, Chunlin Chen, Daoyi Dong · 2021 · IEEE Transactions on Cybernetics
11. Quantum machine learning: from physics to software engineering
    Alexey A. Melnikov, Mohammad Kordzanganeh, A. P. Alodjants, Ray‐Kuang Lee · 2023 · Advances in Physics X
12. Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases
    J. Herrmann, Sergi Masot-Llima, Ants Remm, Petr Zapletal, Nathan A. McMahon, Colin Scarato, François Swiadek, Christian Kraglund Andersen, Christoph Hellings, Sebastian Krinner et al. · 2022 · Nature Communications
13. Demonstration of WDM weighted addition for principal component analysis
    Alexander N. Tait, John H.C. Chang, Bhavin J. Shastri, Mitchell A. Nahmias, Paul R. Prucnal · 2015 · Optics Express
14. Nearest centroid classification on a trapped ion quantum computer
    Sonika Johri, Shantanu Debnath, Avinash Mocherla, Alexandros Singh, Anupam Prakash, Jungsang Kim, Iordanis Kerenidis · 2021 · npj Quantum Information
15. A comprehensive review of quantum machine learning: from NISQ to fault tolerance
    Yunfei Wang, Junyu Liu · 2024 · Reports on Progress in Physics
16. Variational Quantum Classifier for Binary Classification: Real vs Synthetic Dataset
    Maheshwari, Danyal, Sierra-Sosa, Daniel, Garcia-Zapirain, Begonya · 2022 · IEEE Access
17. Quantum Machine Learning: A tutorial
    Martín-Guerrero, José D., Lamata, Lucas · 2022 · Neurocomputing
18. Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing Quantum machine learning
    Nai-Hui Chia, András Gilyén, Tongyang Li, Han-Hsuan Lin, Ewin Tang, Chunhao Wang · 2020 · ACM Symposium on Theory of Computing (STOC)
19. Recent advances for quantum classifiers
    Weikang Li, Dong-Ling Deng · 2021 · Science China Physics Mechanics and Astronomy
20. A quantum federated learning framework for classical clients
    Yanqi Song, Yusen Wu, Shengyao Wu, Dandan Li, Qiaoyan Wen, Su‐Juan Qin, Fei Gao · 2024 · Science China Physics Mechanics and Astronomy
21. Quantum Methods for Neural Networks and Application to Medical Image Classification
    Jonas Landman, Natansh Mathur, Yun Yvonna Li, Martin Strahm, Skander Kazdaghli, Anupam Prakash, Iordanis Kerenidis · 2022 · Quantum
22. Quantum Computing: Circuits, Algorithms, and Applications
    Muhammad Ali Shafique, Arslan Munir, Imran Latif · 2024 · IEEE Access
23. Quantum Algorithms for Deep Convolutional Neural Networks
    Kerenidis, Iordanis, Landman, Jonas, Prakash, Anupam · 2019 · arXiv
24. Quantum Power Method by a Superposition of Time-Evolved States
    Kazuhiro Seki, Seiji Yunoki · 2021 · PRX Quantum
25. Encoding patterns for quantum algorithms
    Manuela Weigold, Johanna Barzen, Frank Leymann, Marie Salm · 2021 · IET Quantum Communication
26. Quantum Machine Learning over Infinite Dimensions
    Hoi-Kwan Lau, Raphael C. Pooser, George Siopsis, Christian Weedbrook · 2017 · Physical Review Letters
27. Near-term quantum computing techniques: Variational quantum algorithms, error mitigation, circuit compilation, benchmarking and classical simulation
    He-Liang Huang, Xiaoyue Xu, Chu Guo, Guojing Tian, Shi-Jie Wei, Xiaoming Sun, Wan‐Su Bao, Gui‐Lu Long · 2023 · Science China Physics Mechanics and Astronomy
28. Holographic quantum algorithms for simulating correlated spin systems
    Foss-Feig, Michael, Hayes, David, Dreiling, Joan M., Figgatt, Caroline, Gaebler, John P., Moses, Steven A., Pino, Juan M., Potter, Andrew C. · 2021 · Physical Review Research
29. Quantum computing in power systems
    Yifan Zhou, Zefan Tang, Nima Nikmehr, Pouya Babahajiani, Fei Feng, Tzu-Chieh Wei, Honghao Zheng, Peng Zhang · 2022 · iEnergy
30. Asymptotically Optimal Circuit Depth for Quantum State Preparation and General Unitary Synthesis
    Xiaoming Sun, Guojing Tian, Shuai Yang, Pei Yuan, Shengyu Zhang · 2023 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
31. Towards provably efficient quantum algorithms for large-scale machine-learning models
    Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yunfei Wang, Yuri Alexeev, Jens Eisert, Liang Jiang · 2024 · Nature Communications
32. Entanglement-based quantum information technology: a tutorial
    Zheshen Zhang, Chenglong You, Omar S. Magaña‐Loaiza, Robert Fickler, Roberto de J. León‐Montiel, Juan P. Torres, Travis S. Humble, Shuai Liu, Yi Xia, Quntao Zhuang · 2024 · Advances in Optics and Photonics
33. Quantum estimation, control and learning: Opportunities and challenges
    Daoyi Dong, Ian R. Petersen · 2022 · Annual Reviews in Control
34. Quantum machine learning for support vector machine classification
    S. S. Kavitha, Narasimha Kaulgud · 2022 · Evolutionary Intelligence
35. Transforming Bell’s inequalities into state classifiers with machine learning
    Yuechi Ma, Man‐Hong Yung · 2018 · npj Quantum Information
36. Decentralized base-graph routing for the quantum internet
    László Gyöngyösi, Sándor Imre · 2018 · Physical Review A
37. A survey on HHL algorithm: From theory to application in quantum machine learning
    Bojia Duan, Jiabin Yuan, Chao‐Hua Yu, Jianbang Huang, Chang‐Yu Hsieh · 2020 · Physics Letters A
38. Quantum Computing for Molecular Biology**
    Baiardi, Alberto, Christandl, Matthias, Reiher, Markus · 2023 · ChemBioChem
39. Decompositions of n-qubit Toffoli Gates with Linear Circuit Complexity
    Yong He, Ming-Xing Luo, E. Zhang, Hong-Ke Wang, Xiaofeng Wang · 2017 · International Journal of Theoretical Physics
40. Quantum-assisted Helmholtz machines: A quantum–classical deep learning framework for industrial datasets in near-term devices
    Marcello Benedetti, John Realpe-Gómez, Alejandro Perdomo‐Ortiz · 2018 · Quantum Science and Technology
41. Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications
    Yaswitha Gujju, Atsushi Matsuo, Rudy Raymond · 2024 · Physical Review Applied
42. An introduction to quantum machine learning: from quantum logic to quantum deep learning
    Leonardo Alchieri, Davide Badalotti, Pietro Bonardi, Simone Bianco · 2021 · Quantum Machine Intelligence
43. QuantumLeap: Hybrid quantum neural network for financial predictions
    Eric Paquet, Farzan Soleymani · 2022 · Expert Systems with Applications
44. Quantum algorithm for nonhomogeneous linear partial differential equations
    Juan Miguel Arrazola, Timjan Zarboski Kalajdzievski, Christian Weedbrook, Seth Lloyd · 2019 · Physical Review A
45. Quantum linear systems algorithms: a primer
    Danial Dervovic, Mark Herbster, Peter Mountney, Simone Severini B, Naïri Usher, Leonard Wossnig · 2018 · arXiv (Cornell University)
46. Universal discriminative quantum neural networks
    Chen, H., Wossnig, L., Severini, S., Neven, H., Mohseni, M. · 2021 · Quantum Machine Intelligence
47. Trading T gates for dirty qubits in state preparation and unitary synthesis
    Guang Hao Low, Vadym Kliuchnikov, Luke Schaeffer · 2024 · Quantum
48. A Quantum Mechanics-Based Framework for EEG Signal Feature Extraction and Classification
    Yaochong Li, Ri‐Gui Zhou, Ruiqing Xu, Jia Luo, She-Xiang Jiang · 2020 · IEEE Transactions on Emerging Topics in Computing
49. Advances in quantum machine learning
    Jeremy C. Adcock, Euan J. Allen, Matthew Day, Stefan Frick, J.J. Hinchliff, Mack Johnson, Sam Morley-Short, Sam Pallister, Alasdair B. Price, Stasja Stanisic · 2015 · arXiv (Cornell University)
50. Quantum implementation of an artificial feed-forward neural network
    Francesco Tacchino, Panagiotis Kl. Barkoutsos, Chiara Macchiavello, Ivano Tavernelli, Dario Gerace, Daniele Bajoni · 2020 · Quantum Science and Technology
51. A survey on the complexity of learning quantum states
    Anurag Anshu, Srinivasan Arunachalam · 2023 · Nature Reviews Physics
52. Biology and medicine in the landscape of quantum advantages
    Cordier, Benjamin A., Sawaya, Nicolas P. D., Guerreschi, Gian Giacomo, McWeeney, Shannon K. · 2022 · Journal of The Royal Society Interface
53. Quantum data compression by principal component analysis
    Chao‐Hua Yu, Fei Gao, Song Lin, Jingbo B. Wang · 2019 · Quantum Information Processing
54. Quantum Federated Learning With Decentralized Data
    Rui Huang, Xiaoqing Tan, Qingshan Xu · 2022 · IEEE Journal of Selected Topics in Quantum Electronics
55. Hamiltonian simulation with optimal sample complexity
    Kimmel, Shelby, Lin, Cedric Yen-Yu, Low, Guang Hao, Ozols, Maris, Yoder, Theodore J. · 2017 · npj Quantum Information
56. Quantum Computing for Pattern Classification
    Maria Schuld, Ilya Sinayskiy, Francesco Petruccione · 2014 · Lecture notes in computer science
57. Noise-Resilient Quantum Machine Learning for Stability Assessment of Power Systems
    Yifan Zhou, Peng Zhang · 2022 · IEEE Transactions on Power Systems
58. Quantum Computing in the Next-Generation Computational Biology Landscape: From Protein Folding to Molecular Dynamics
    Pal, Soumen, Bhattacharya, Manojit, Lee, Sang-Soo, Chakraborty, Chiranjib · 2024 · Molecular Biotechnology
59. Random unitaries in extremely low depth
    Thomas Schuster, Jonas Haferkamp, Hsin-Yuan Huang · 2025 · Science
60. Scalable distributed gate-model quantum computers
    László Gyöngyösi, Sándor Imre · 2021 · Scientific Reports
61. Symmetry-adapted variational quantum eigensolver
    Kazuhiro Seki, Tomonori Shirakawa, Seiji Yunoki · 2020 · Physical Review A
62. Entanglement-Gradient Routing for Quantum Networks
    László Gyöngyösi, Sándor Imre · 2017 · Scientific Reports
63. Adversarial quantum circuit learning for pure state approximation
    Marcello Benedetti, Edward Grant, Leonard Wossnig, Simone Severini B · 2019 · New Journal of Physics
64. An applied quantum Hoare logic
    Li Zhou, Nengkun Yu, Mingsheng Ying · 2019 · ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)
65. Quantum Computing: An Overview Across the System Stack
    Salonik Resch, Ulya R. Karpuzcu · 2019 · arXiv (Cornell University)
66. QDNN: deep neural networks with quantum layers
    Chen Zhao, Xiao-Shan Gao · 2021 · Quantum Machine Intelligence
67. RETRACTED ARTICLE: Quantum K-means clustering method for detecting heart disease using quantum circuit approach
    S. S. Kavitha, Narasimha Kaulgud · 2022 · Soft Computing · Retracted
68. Machine learning for anomaly detection in particle physics
    Vasilis Belis, Patrick Odagiu, T. K. Aarrestad · 2024 · Reviews in Physics
69. Quantum K-nearest neighbor classification algorithm based on Hamming distance
    Jing Li, Song Lin, Kai Yu, Gongde Guo · 2021 · Quantum Information Processing
70. Quantum algorithm for association rules mining
    Chao‐Hua Yu, Fei Gao, Qing-Le Wang, Qiaoyan Wen · 2016 · Physical Review A
71. Low-depth quantum state preparation
    Xiao‐Ming Zhang, Man‐Hong Yung, Xiao Yuan · 2021 · Physical Review Research
72. Quantum gate learning in qubit networks: Toffoli gate without time-dependent control
    Banchi, Leonardo, Pancotti, Nicola, Bose, Sougato · 2016 · npj Quantum Information
73. Quantum Reservoir Computing Using Arrays of Rydberg Atoms
    Rodrigo Araiza Bravo, Khadijeh Najafi, Xun Gao, Susanne F. Yelin · 2022 · PRX Quantum
74. Quantum Machine Learning for Finance ICCAD Special Session Paper
    Marco Pistoia, Syed Farhan, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula et al. · 2021 · International Conference on Computer Aided Design
75. Toward pricing financial derivatives with an IBM quantum computer
    Ana Martin, Bruno Candelas, Ángel Rodríguez-Rozas, José D. Martín-Guerrero, Xi Chen, Lucas Lamata, Román Orús, Enrique Solano, Mikel Sanz · 2021 · Physical Review Research
76. Quantum machine learning for data scientists
    Dawid Kopczyk · 2018 · arXiv (Cornell University)
77. Quantum Algorithm Design: Techniques and Applications
    Changpeng Shao, Li Yang, Hongbo Li · 2019 · Journal of Systems Science and Complexity
78. AI meets physics: a comprehensive survey
    Licheng Jiao, Xue Song, Chao You, Xu Liu, Lingling Li, Puhua Chen, Xu Tang, Zhixi Feng, Fang Liu, Yuwei Guo et al. · 2024 · Artificial Intelligence Review
79. Quantum Physical Unclonable Functions: Possibilities and Impossibilities
    Myrto Arapinis, Mahshid Delavar, Mina Doosti, Elham Kashefi · 2021 · Quantum
80. Quantum Enhancements for Deep Reinforcement Learning in Large Spaces
    Sofiène Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Hans J. Briegel, Vedran Dunjko · 2021 · PRX Quantum
81. Quantum KNN Classification With K Value Selection and Neighbor Selection
    Jiaye Li, Jian Zhang, Jilian Zhang, Shichao Zhang · 2023 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
82. Review of medical image processing using quantum-enabled algorithms
    Fei Yan, Hesheng Huang, Witold Pedrycz C, Kaoru Hirota · 2024 · Artificial Intelligence Review
83. Differential Privacy in Quantum Computation
    Li Zhou, Mingsheng Ying · 2017 · IEEE Computer Security Foundations Workshop (CSFW)
84. Quantum spectral clustering
    Iordanis Kerenidis, Jonas Landman · 2021 · Physical Review A
85. Advances in Quantum Deep Learning: An Overview
    Siddhant Garg, Goutham Ramakrishnan · 2020 · arXiv (Cornell University)
86. QuGAN: A Quantum State Fidelity based Generative Adversarial Network
    Stein, Samuel A., Baheri, Betis, Chen, Daniel, Mao, Ying, Guan, Qiang, Li, Ang, Fang, Bo, Xu, Shuai · 2021 · 2021 IEEE International Conference on Quantum Computing and Engineering (QCE)
87. Measuring fermionic entanglement: Entropy, negativity, and spin structure
    Eyal Cornfeld, Eran Sela, Moshe Goldstein · 2019 · Physical Review A
88. Automatic design of quantum feature maps
    Sergio Altares-López, Ángela Ribeiro, Juan José García‐Ripoll · 2021 · Quantum Science and Technology
89. Restrictions on realizable unitary operations imposed by symmetry and locality
    Iman Marvian · 2022 · Nature Physics
90. Review of some existing QML frameworks and novel hybrid classical–quantum neural networks realising binary classification for the noisy datasets
    Nikolaos A. Schetakis, Davit Aghamalyan, Paul Griffin, Michael Boguslavsky · 2022 · Scientific Reports
91. Quantum in the Cloud: Application Potentials and Research Opportunities
    Frank Leymann, Johanna Barzen, Michael Falkenthal, Daniel Vietz, Benjamin Weder, Karoline Wild · 2020 · International Conference on Cloud Computing and Services Science
92. Kernel methods in Quantum Machine Learning
    Riccardo Mengoni, Alessandra Di Pierro · 2019 · Quantum Machine Intelligence
93. Quantum Algorithm for Petz Recovery Channels and Pretty Good Measurements
    András Gilyén, Seth Lloyd, Iman Marvian, Yihui Quek, Mark M. Wilde · 2022 · Physical Review Letters
94. Representation Learning via Quantum Neural Tangent Kernels
    Junyu Liu, Francesco Tacchino, Jennifer R. Glick, Liang Jiang, Antonio Mezzacapo · 2022 · PRX Quantum
95. Penalty methods for a variational quantum eigensolver
    Kohdai Kuroiwa, Yuya O. Nakagawa · 2021 · Physical Review Research
96. Experimental Realization of a Quantum Refrigerator Driven by Indefinite Causal Orders
    Xinfang Nie, Xuanran Zhu, Keyi Huang, Kai Tang, Xinyue Long, Zidong Lin, Yu Peng Tian, Chu-Dan Qiu, Xi Cheng, Xiaodong Yang et al. · 2022 · Physical Review Letters
97. Classification of the MNIST data set with quantum slow feature analysis
    Iordanis Kerenidis, Alessandro Luongo · 2020 · Physical Review A
98. Reconstruction of a Photonic Qubit State with Reinforcement Learning
    Shang Yu, F. Albarrán-Arriagada, J. C. Retamal, Yi‐Tao Wang, Wei Liu, Zhi‐Jin Ke, Yu Meng, Zhi‐Peng Li, Jian‐Shun Tang, Enrique Solano et al. · 2019 · Advanced Quantum Technologies
99. Opportunistic Entanglement Distribution for the Quantum Internet
    László Gyöngyösi, Sándor Imre · 2019 · Scientific Reports
100. On Learning Linear Functions from Subset and Its Applications in Quantum Computing
     Fernando G. S. L. Brandão, Kalev, Amir, Tongyang Li, Cedric Yen-Yu Lin, Krysta M. Svore, Xiaodi Wu · 2017 · arXiv (Cornell University)