Quantum principal component analysis

Cited by (1,001)

Items 401–500 of 1,001

1. Optimal quantum-programmable projective measurement with linear optics
   Ulysse Chabaud, Eleni Diamanti, Damian Markham, Elham Kashefi, Antoine Joux · 2018 · Physical Review A
2. Boltzmann machine learning with a variational quantum algorithm
   Yuta Shingu, Yuya Seki, Shohei Watabe, Suguru Endo, Yuichiro Matsuzaki, Shiro Kawabata, Tetsuro Nikuni, Hideaki Hakoshima · 2021 · Physical Review A
3. Implementation of a Hamming distance–like genomic quantum classifier using inner products on ibmqx2 and ibmq_16_melbourne
   Kunal Kathuria, Aakrosh Ratan, Michael J. McConnell, Stefan Bekiranov · 2020 · Quantum Machine Intelligence
4. Quantum Algorithms for Similarity Measurement Based on Euclidean Distance
   Kai Yu, Gongde Guo, Jing Li, Song Lin · 2020 · International Journal of Theoretical Physics
5. Quantum random access memory via quantum walk
   Ryo Asaka, Kazumitsu Sakai, Ryoko Yahagi · 2021 · Quantum Science and Technology
6. On Depth, Robustness and Performance Using the Data Re-Uploading Single-Qubit Classifier
   Philip Easom, Ahmed Bouridane, Ammar Belatreche, Richard Jiang · 2021 · IEEE Access
7. A Quantum-Classical Hybrid Method for Image Classification and Segmentation
   Sayantan Pramanik, M Girish Chandra, C V Sridhar, Aniket Kulkarni, Prabin Ranjan Sahoo, Chethan D V Vishwa, Hrishikesh Sharma, Vidyut Navelkar, Sudhakara Poojary, Pranav Shah et al. · 2022 · IEEE/ACM Symposium on Edge Computing (SEC)
8. Effects of quantum resources and noise on the statistical complexity of quantum circuits
   Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, Yaobo Zhang · 2023 · Quantum Science and Technology
9. Quantum Regularized Least Squares
   Shantanav Chakraborty, Aditya Morolia, Anurudh Peduri · 2023 · Quantum
10. Efficient quantum feature extraction for CNN-based learning
    Tong Dou, Guofeng Zhang, Wei Cui · 2023 · Journal of the Franklin Institute
11. Approximate complex amplitude encoding algorithm and its application to data classification problems
    Naoki Mitsuda, Tatsuhiro Ichimura, Kouhei Nakaji, Yohichi Suzuki, Tomoki Tanaka, Rudy Raymond, Hiroyuki Tezuka, Tamiya Onodera, Naoki Yamamoto · 2024 · Physical Review A
12. Mitigating noise in digital and digital–analog quantum computation
    Paula García-Molina, Ana Martin, Mikel Garcia de Andoin, Mikel Sanz · 2024 · Communications Physics
13. Quantum second-order optimization algorithm for general polynomials
    Pan Gao, Keren Li, Shijie Wei, Gui‐Lu Long · 2021 · Science China Physics Mechanics and Astronomy
14. Enhanced Machine Learning using Quantum Computing
    Aishwarya Jhanwar, Manisha J. Nene · 2021 · International Conference on Electronics and Sustainable Communication Systems (ICESC)
15. Quantum Algorithms to Matrix Multiplication
    Changpeng Shao · 2018 · arXiv (Cornell University)
16. Multilevel Leapfrogging Initialization Strategy for Quantum Approximate Optimization Algorithm
    Xiao‐Hui Ni, Bin‐Bin Cai, Hailing Liu, Su‐Juan Qin, Fei Gao, Qiaoyan Wen · 2024 · Advanced Quantum Technologies
17. Quantum computing in renewable energy exploration: status, opportunities, and challenges
    Obafemi O. Olatunji, Paul Adeola Adedeji, Nkosinathi Madushele · 2021 · Elsevier eBooks
18. A duplication-free quantum neural network for universal approximation
    Xiaokai Hou, Guanyu Zhou, Qingyu Li, Shan Jin, Xiaoting Wang · 2023 · Science China Physics Mechanics and Astronomy
19. Dynamics of entangled networks of the quantum Internet
    László Gyöngyösi · 2020 · Scientific Reports
20. Natural Embedding of the Stokes Parameters of Polarimetric Synthetic Aperture Radar Images in a Gate-Based Quantum Computer
    Soronzonbold Otgonbaatar, Mihai P. Datcu · 2021 · IEEE Transactions on Geoscience and Remote Sensing
21. Sustainable pathways: Decoding the interplay of renewable energy, economic policy uncertainty, infrastructure, and innovation on transport CO2 in QUAD economies
    Shuang Wang, Saif Ur Rahman, Mehwish Zulfiqar, Shahzad Ali, Sukaina Khalid, Muhammad Sibt‐e‐Ali · 2025 · Renewable Energy
22. Quantum face recognition protocol with ghost imaging
    Vahid Salari, Dilip Paneru, Erhan Sağlamyürek, Milad Ghadimi, Moloud Abdar, Mohammadreza Rezaee, Mehdi Aslani, Shabir Barzanjeh, Ebrahim Karimi · 2023 · Scientific Reports
23. New Single-Preparation Methods for Unsupervised Quantum Machine Learning Problems
    Yannick Deville, Alain Deville · 2021 · IEEE Transactions on Quantum Engineering
24. Searching for anomalous quartic gauge couplings at muon colliders using principal component analysis
    Yifei Dong, Ying-Chen Mao, Ji-Chong Yang · 2023 · The European Physical Journal C
25. Quantum computation for large-scale image classification
    Yue Ruan, Hanwu Chen, Jianing Tan, Xi Li · 2016 · Quantum Information Processing
26. Hardening quantum machine learning against adversaries
    Nathan Wiebe, Ram Shankar Siva Kumar · 2018 · New Journal of Physics
27. Quantum reference frames and their applications to thermodynamics
    Sandu Popescu, Ana Belén Sainz, Anthony J. Short, Andreas Winter · 2018 · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
28. Quantum speedup of twin support vector machines
    Zekun Ye, Lvzhou Li, Haozhen Situ, Yuyi Wang · 2020 · Science China Information Sciences
29. Quantum adiabatic machine learning by zooming into a region of the energy surface
    Alexander Zlokapa, A. Mott, Joshua Job, Jean-Roch Vlimant, Daniel A. Lidar, M. Spiropulu · 2020 · Physical Review A
30. A quantum algorithm for simulating non-sparse Hamiltonians
    Chunhao Wang, Leonard Wossnig · 2020 · Quantum Information and Computation
31. Quantum speedup in adaptive boosting of binary classification
    Ximing Wang, Yuechi Ma, Min-Hsiu Hsieh, Man‐Hong Yung · 2020 · Science China Physics Mechanics and Astronomy
32. QuGAN: A Generative Adversarial Network Through Quantum States
    Samuel A. Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang, Shuai Xu · 2020 · arXiv (Cornell University)
33. Quantum Machine Learning: Unraveling a New Paradigm in Computational Intelligence
    Sachin Khurana, Manisha J. Nene · 2024
34. Implementing smooth functions of a Hermitian matrix on a quantum computer
    Sathyawageeswar Subramanian, Stephen Brierley, Richard Jozsa · 2019 · Journal of Physics Communications
35. Demonstration of Density Matrix Exponentiation Using a Superconducting Quantum Processor
    Morten Kjærgaard, Mollie E. Schwartz, Alex Greene, Gabriel Samach, Andreas Bengtsson, Michael F. O’Keeffe, Christopher M. McNally, Jochen Braumüller, David K. Kim, Philip Krantz et al. · 2022 · Physical Review X
36. Transition role of entangled data in quantum machine learning
    Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu, Yong Luo, Xiao Yuan, Dacheng Tao · 2024 · Nature Communications
37. Predominant Aspects on Security for Quantum Machine Learning: Literature Review
    Nicola Franco, Alona Sakhnenko, Leon Stolpmann, Daniel Thuerck, Fabian Petsch, Annika Rüll, Jeanette Miriam Lorenz · 2024 · IEEE International Conference on Quantum Computing and Engineering (QCE)
38. A QUBO Formulation of the Stereo Matching Problem for D-Wave Quantum Annealers
    William Cruz-Santos, Salvador Elías Venegas-Andraca, Marco O. Lanzagorta · 2018 · Entropy
39. Quantum Science and Quantum Technology
    Yazhen Wang, Xinyu Song · 2020 · Statistical Science
40. Quantum Exploration Algorithms for Multi-Armed Bandits
    Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
41. Robust Quantum Feature Selection With Sparse Optimization Circuit
    Jiaye Li, Jiagang Song, Jinjing Shi, Hang Xu, Hao Yu, Gang Chen, Shichao Zhang · 2025 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
42. Faster Quantum-inspired Algorithms for Solving Linear Systems
    Changpeng Shao, Ashley Montanaro · 2022 · ACM Transactions on Quantum Computing
43. Accuracy and processing speed trade-offs in classical and quantum SVM classifier exploiting PRISMA hyperspectral imagery
    Riyaaz Uddien Shaik, Shoba Periasamy · 2022 · International Journal of Remote Sensing
44. Compact quantum kernel-based binary classifier
    Carsten Blank, Adenilton José da Silva, Lucas P. de Albuquerque, Francesco Petruccione, Daniel K. Park · 2022 · Quantum Science and Technology
45. Quantum algorithm for Gaussian process regression
    Menghan Chen, Chao‐Hua Yu, Jianliang Gao, Kai Yu, Song Lin, Gongde Guo, Jing Li · 2022 · Physical Review A
46. Conditional quantum circuit Born machine based on a hybrid quantum–classical framework
    Qing-Wei Zeng, Hong-Ying Ge, Chen Gong, Nanrun Zhou · 2023 · Physica A Statistical Mechanics and its Applications
47. New record in the number of qubits for a quantum implementation of AES
    Zhenqiang Li, Fei Gao, Su‐Juan Qin, Qiaoyan Wen · 2023 · Frontiers in Physics
48. Review of ansatz designing techniques for variational quantum algorithms
    Junhan Qin · 2023 · Journal of Physics Conference Series
49. Quantum-Enhanced Federated Learning for Metaverse-Empowered Vehicular Networks
    Bishmita Hazarika, Keshav Kumar Singh, Octavia A. Dobre, Chih–Peng Li, Trung Q. Duong · 2024 · IEEE Transactions on Communications
50. Quantum and quantum-like machine learning: a note on differences and similarities
    Giuseppe Sergioli · 2019 · Soft Computing
51. Massively parallel classical logic via coherent dynamics of an ensemble of quantum systems with dispersion in size
    Hugo Gattuso, Raphael David Levine, F. Remacle · 2020 · Proceedings of the National Academy of Sciences
52. Towards Building a Facial Identification System Using Quantum Machine Learning Techniques
    Philip Easom, Ahmed Bouridane, Ammar Belatreche, Richard Jiang · 2022 · Journal of Advances in Information Technology
53. Quantum advantage for differential equation analysis
    Bobak T. Kiani, Giacomo De Palma, Dirk R. Englund, William M. Kaminsky, Milad Marvian, Seth Lloyd · 2022 · Physical Review A
54. Quantum Machine Learning Algorithm for Knowledge Graphs
    Yunpu Ma, Volker Tresp C · 2021 · ACM Transactions on Quantum Computing
55. Machine Learning at the Interface of Polymer Science and Biology: How Far Can We Go?
    Eleonora Gianti, Simona Percec · 2022 · Biomacromolecules
56. Big data classification with quantum multiclass SVM and quantum one-against-all approach
    Arit Kumar Bishwas, Ashish Mani, Vasile Palade · 2016 · International Conference on Contemporary Computing and Informatics (IC3I)
57. Quantum algorithms for training Gaussian processes
    Zhao, Zhikuan, Fitzsimons, Jack K., Osborne, Michael A., Roberts, Stephen J., Fitzsimons, Joseph F. · 2019 · Physical Review A
58. Quantum-machine-assisted drug discovery
    Yidong Zhou, Jintai Chen, Jinglei Cheng, Xu Cao, Yuanyuan Zhang, Gopal Karemore, Marinka Žitnik, Frederic T. Chong, Junyu Liu, Tianfan Fu et al. · 2026 · npj Drug Discovery.
59. Quantum latent diffusion models
    Francesca De Falco, Andrea Ceschini, Alessandro Sebastianelli, Bertrand Le Saux, Massimo Panella · 2024 · Quantum Machine Intelligence
60. Unsupervised Quantum Gate Control for Gate-Model Quantum Computers
    László Gyöngyösi · 2020 · Scientific Reports
61. Quantum Fuzzy Support Vector Machine for Binary Classification
    Xi Huang, Shibin Zhang, Lin Chen, Jinyue Xia · 2022 · Computer Systems Science and Engineering
62. Wave Matrix Lindbladization I: Quantum Programs for Simulating Markovian Dynamics
    Dhrumil Patel, Mark M. Wilde · 2023 · Open Systems & Information Dynamics
63. Does Qubit Connectivity Impact Quantum Circuit Complexity?
    Pei Yuan, Jonathan Allcock, Shengyu Zhang · 2023 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
64. Extraction of Roads Using the Archimedes Tuning Process with the Quantum Dilated Convolutional Neural Network
    Mohd Jawed Khan, Pankaj Pratap Singh, Biswajeet Pradhan, Abdullah M. Alamri, Chang-Wook Lee · 2023 · Sensors
65. Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems
    Theshani Nuradha, Ziv Goldfeld, Mark M. Wilde · 2024 · IEEE Transactions on Information Theory
66. Quantum-inspired minimum distance classification in a biomedical context
    Giuseppe Sergioli, Giorgio Ivan Russo, Enrica Santucci, Alessandro Stefano, Sebastiano Emanuele Torrisi, Stefano Palmucci, Carlo Vancheri, Roberto Giuntini · 2018 · International Journal of Quantum Information
67. An Efficient and Fast Quantum State Estimator With Sparse Disturbance
    Jiaojiao Zhang, Shuang Cong, Qing Hua Ling, Kezhi Li · 2018 · IEEE Transactions on Cybernetics
68. Confidence Region of Singular Subspaces for Low-Rank Matrix Regression
    Dong Xia · 2019 · IEEE Transactions on Information Theory
69. Variational quantum extreme learning machine
    Yong Wang, Kuo-Yi Lin, Shuming Cheng, Li Li · 2022 · Neurocomputing
70. Measurement-Based Adaptation Protocol with Quantum Reinforcement Learning in a Rigetti Quantum Computer
    Julio Olivares-Sánchez, Jorge Casanova, E. Solano, Lucas Lamata · 2020 · Quantum Reports
71. Verifying Fairness in Quantum Machine Learning
    Ji Guan, Wang Sheng Fang, Mingsheng Ying · 2022 · Lecture notes in computer science
72. Fast Quantum Algorithms for Trace Distance Estimation
    Qisheng Wang, Zhicheng Zhang · 2023 · IEEE Transactions on Information Theory
73. Benefits of Open Quantum Systems for Quantum Machine Learning
    María Laura Olivera‐Atencio, Lucas Lamata, Jesús Casado‐Pascual · 2023 · Advanced Quantum Technologies
74. Variational quantum algorithm for ergotropy estimation in quantum many-body batteries
    Duc T. Hoang, Friederike Metz, Andreas M. D. Thomasen, Tran Duong Anh-Tai, Thomas Busch, Thomás Fogarty · 2024 · Physical Review Research
75. Spacetime-Efficient Low-Depth Quantum State Preparation with Applications
    Kaiwen Gui, Alexander M. Dalzell, Alessandro Achille, Martin Suchara, Frederic T. Chong · 2024 · Quantum
76. Modular quantum computation in a trapped ion system
    Kuan Zhang, Jayne E. Thompson, Xiang Zhang, Yangchao Shen, Yao Lu, Shuaining Zhang, Jiajun Ma, Vlatko Vedral, Mile Gu, Kihwan Kim · 2019 · Nature Communications
77. High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder
    Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna Nemani, Eleanor Gilbert Rieffel · 2020 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
78. Implementation of a quantum transfer learning approach to image splicing detection
    Angelina Gokhale, Mandaar Bhaskar Pande, Dhanya Pramod · 2020 · International Journal of Quantum Information
79. Witnesses of coherence and dimension from multiphoton indistinguishability tests
    Taira Giordani, Chiara Esposito, Francesco Hoch, Gonzalo Carvacho, Daniel J. Brod, Ernesto F. Galvão, Nicolò Spagnolo, Fabio Sciarrino · 2021 · Physical Review Research
80. Smooth input preparation for quantum and quantum-inspired machine learning
    Zhikuan Zhao, Jack Fitzsimons, Patrick Rebentrost, Vedran Dunjko, Joseph F. Fitzsimons · 2021 · Quantum Machine Intelligence
81. A Quantum Algorithm for RF-based Fingerprinting Localization Systems
    Ahmed Shokry, Moustafa A. Youssef · 2022 · Conference on Local Computer Networks
82. Quantum Computing for Location Determination
    Ahmed Shokry, Moustafa A. Youssef · 2021 · arXiv (Cornell University)
83. Theory of Noise-Scaled Stability Bounds and Entanglement Rate Maximization in the Quantum Internet
    László Gyöngyösi, Sándor Imre · 2020 · Scientific Reports
84. Experimental quantum end-to-end learning on a superconducting processor
    Xiaoxuan Pan, Xi Cao, Weiting Wang, Ziyue Hua, Weizhou Cai, Xuegang Li, Haiyan Wang, Jiaqi Hu, Yipu Song, Dong-Ling Deng et al. · 2023 · npj Quantum Information
85. Quantum Fourier Convolutional Network
    Feihong Shen, Jun Liu · 2022 · ACM Transactions on Multimedia Computing Communications and Applications
86. Quantum algorithm for unsupervised anomaly detection
    Mingchao Guo, Shi‐Jie Pan, Wenmin Li, Fei Gao, Su‐Juan Qin, XiaoLing Yu, Xuanwen Zhang, Qiaoyan Wen · 2023 · Physica A Statistical Mechanics and its Applications
87. Quantum Routing for Emerging Quantum Networks
    Wenbo Shi, Robert Malaney · 2023 · IEEE Network
88. Advancements in Quantum Machine Learning and Quantum Deep Learning: A Comprehensive Review of Algorithms, Challenges, and Future Directions
    G. Priyanka, M. Venkatesan, P. Prabhavathy · 2023 · International Conference on Quantum Technologies, Communications, Computing, Hardware and Embedded Systems Security (iQ-CCHESS)
89. Complexity of life sciences in quantum and AI era
    Alexey N. Pyrkov, Alex Aliper, Dmitry S. Bezrukov, Dmitriy I. Podolskiy, Feng Ren, Alex A. Zhavoronkov · 2024 · Wiley Interdisciplinary Reviews Computational Molecular Science
90. Quantum machine learning: a systematic categorization based on learning paradigms, NISQ suitability, and fault tolerance
    Bisma Majid, Shabir Ahmad Sofi, Zamrooda Jabeen · 2025 · Quantum Machine Intelligence
91. Quantum Vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities
    Md Nadim, Mohammad Mehedi Hassan, Ashis Kumar Mandal, Chanchal Kumar Roy · 2025 · IEEE/ACM International Workshop on Quantum Software Engineering (Q-SE)
92. Quantum linear system solvers: A survey of algorithms and applications
    Mauro E. S. Morales, Lirandë Pira, Philipp Schleich, Kelvin Koor, Pedro C. S. Costa, Dong An, Alán Aspuru‐Guzik, Lin Lin, Patrick Rebentrost, Dominic William Berry · 2026 · Reviews of Modern Physics
93. Optimal usage of quantum random access memory in quantum machine learning
    Jeongho Bang, Arijit Dutta, Seung-Woo Lee, Jaewan Kim · 2019 · Physical Review A
94. Row and column iteration methods to solve linear systems on a quantum computer
    Changpeng Shao, Hua Xiang · 2020 · Physical Review A
95. Quantum mean embedding of probability distributions
    Jonas M. Kübler, Krikamol Muandet, Bernhard Schölkopf · 2019 · Physical Review Research
96. Realizing quantum linear regression with auxiliary qumodes
    Dan-Bo Zhang, Zheng‐Yuan Xue, Shi-Liang Zhu, Z.D. Wang · 2019 · Physical Review A
97. Quantum-enhanced least-square support vector machine: Simplified quantum algorithm and sparse solutions
    Jie Lin, Dan-Bo Zhang, Shuo Zhang, Tan Li, Xiang Wang, Wan‐Su Bao · 2020 · Physics Letters A
98. A variational quantum algorithm for Hamiltonian diagonalization
    Jinfeng Zeng, Chenfeng Cao, Chao Zhang, Pengxiang Xu, Bei Zeng · 2021 · Quantum Science and Technology
99. Relevance of Near-Term Quantum Computing in the Cloud: A Humanities Perspective
    Johanna Barzen, Frank Leymann, Michael Falkenthal, Daniel Vietz, Benjamin Weder, Karoline Wild · 2021 · Communications in computer and information science
100. Phase-sensitive quantum spectroscopy with high-frequency resolution
     Nicolas Staudenmaier, Simon Schmitt, Liam Paul McGuinness, Fedor Jelezko · 2021 · Physical Review A