Quantum principal component analysis

Cited by (1,001)

Items 201–300 of 1,001

1. Paulihedral: a generalized block-wise compiler optimization framework for Quantum simulation kernels
   Gushu Li, Anbang Wu, Yunong Shi, Ali Javadi-Abhari, Yufei Ding, Yuan Xie · 2022 · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
2. Quantum algorithm for support matrix machines
   Bojia Duan, Jiabin Yuan, Ying Liu, Dan Li · 2017 · Physical Review A
3. Designing quantum router in IBM quantum computer
   Bikash K. Behera, Tasnum Reza, Angad Gupta, Prasanta K. Panigrahi · 2019 · Quantum Information Processing
4. A Leap among Quantum Computing and Quantum Neural Networks: A Survey
   Fabio Valerio Massoli, Lucia Vadicamo, Giuseppe M. Amato, Fabrizio Falchi · 2022 · ACM Computing Surveys
5. Circuit Depth Reduction for Gate-Model Quantum Computers
   László Gyöngyösi, Sándor Imre · 2020 · Scientific Reports
6. Quantum Machine Learning in Drug Discovery: Applications in Academia and Pharmaceutical Industries
   Anthony M. Smaldone, Yu Shee, Gregory W. Kyro, Chuzhi Xu, Nam P. Vu, Rishab Dutta, Marwa H. Farag, Alexey Galda, Sandeep Kumar, Elica S. Kyoseva et al. · 2025 · Chemical Reviews
7. Hamiltonian Simulation by Uniform Spectral Amplification
   Guang Hao Low, Isaac L. Chuang · 2017 · arXiv (Cornell University)
8. Quantum Image Processing: Opportunities and Challenges
   Yue Ruan, Xiling Xue, Yuanxia Shen · 2021 · Mathematical Problems in Engineering
9. Detecting quantum entanglement with unsupervised learning
   Yiwei Chen, Yu Pan, Guofeng Zhang, Shuming Cheng · 2021 · Quantum Science and Technology
10. Universal Quantum Computing with Arbitrary Continuous-Variable Encoding
    Hoi-Kwan Lau, Martin Bodo Plenio · 2016 · Physical Review Letters
11. An Approach to Cryptography Based on Continuous-Variable Quantum Neural Network
    Jinjing Shi, Shuhui Chen, Yuhu Lu, Yanyan Feng, Ronghua Shi, Yu‐Guang Yang, Jian Li · 2020 · Scientific Reports
12. Experimental Quantum Principal Component Analysis via Parametrized Quantum Circuits
    Tao Xin, Liangyu Che, Xi Cheng, Amandeep Singh, Xinfang Nie, Jun Li, Ying Dong, Dawei Lu · 2021 · Physical Review Letters
13. Expanding Data Encoding Patterns For Quantum Algorithms
    Manuela Weigold, Johanna Barzen, Frank Leymann, Marie Salm · 2021 · IEEE International Conference on Software Architecture Companion (ICSA-C)
14. Experimental demonstration of a quantum router
    Xinxing Yuan, J.-J. Ma, Pan‐Yu Hou, X.-Y. Chang, Chong Zu, L-M Duan · 2015 · Scientific Reports
15. Generative Quantum Machine Learning via Denoising Diffusion Probabilistic Models
    Bingzhi Zhang, Peng Xu, Xiaohui Chen, Quntao Zhuang · 2024 · Physical Review Letters
16. Computational Investigations of the Lithium Superoxide Dimer Rearrangement on Noisy Quantum Devices
    Qi Gao, Hajime Nakamura, Tanvi P. Gujarati, Gavin O. Jones, Julia E. Rice, Stephen Wood, Marco Pistoia, Jeannette M. Garcı́a, Naoki Yamamoto · 2021 · The Journal of Physical Chemistry A
17. Building quantum neural networks based on a swap test
    Jian Zhao, Yuanhang Zhang, Changpeng Shao, Yu-Chun Wu, Guang‐Can Guo, Guo‐Ping Guo · 2019 · Physical Review A
18. Applications of quantum computing for investigations of electronic transitions in phenylsulfonyl-carbazole TADF emitters
    Qi Gao, Gavin O. Jones, Mário Motta, Michihiko Sugawara, Hiroshi C Watanabe, Takao Kobayashi, Eriko Watanabe, Yu‐ya Ohnishi, Hajime Nakamura, Naoki Yamamoto · 2021 · npj Computational Materials
19. Simulating Many-Body Systems with a Projective Quantum Eigensolver
    Nicholas H. Stair, Francesco A. Evangelista · 2021 · PRX Quantum
20. Quantum machine learning and quantum biomimetics: A perspective
    Lucas Lamata · 2020 · Machine Learning Science and Technology
21. Towards a Quantum-Inspired Binary Classifier
    Prayag Tiwari, Massimo Melucci · 2019 · IEEE Access
22. Training Optimization for Gate-Model Quantum Neural Networks
    László Gyöngyösi, Sándor Imre · 2019 · Scientific Reports
23. The theory of the quantum kernel-based binary classifier
    Daniel K. Park, Carsten Blank, Francesco Petruccione · 2020 · Physics Letters A
24. A path towards quantum advantage in training deep generative models with quantum annealers
    Walter Vinci, Lorenzo Buffoni, Hossein Sadeghi, Amir H. Khoshaman, Evgeny Andriyash, M. H. S. Amin · 2020 · Machine Learning Science and Technology
25. A Variational Quantum Algorithm for Preparing Quantum Gibbs States
    Anirban Ch Narayan Chowdhury, Guang Hao Low, Nathan Wiebe · 2020 · arXiv (Cornell University)
26. Quantum reinforcement learning in continuous action space
    Shaojun Wu, Shan Jin, Dingding Wen, Donghong Han, Xiaoting Wang · 2025 · Quantum
27. A new quantum approach to binary classification
    Giuseppe Sergioli, Roberto Giuntini, Héctor Freytes · 2019 · PLoS ONE
28. Realization of a quantum autoencoder for lossless compression of quantum data
    Chang-Jiang Huang, Hailan Ma, Qi Yin, Jun-Feng Tang, Daoyi Dong, Chunlin Chen, Guo‐Yong Xiang, Chuan‐Feng Li, Guang‐Can Guo · 2020 · Physical Review A
29. Quantum Variational Learning of the Entanglement Hamiltonian
    Christian Kokail, Bhuvanesh Sundar, Torsten V. Zache, Andreas Elben, Benoît Vermersch, Marcello Dalmonte, Rick van Bijnen, P. Zoller · 2021 · Physical Review Letters
30. A Survey of Quantum Learning Theory
    Srinivasan Arunachalam, Ronald de Wolf · 2017 · arXiv (Cornell University)
31. Entanglement access control for the quantum Internet
    Laszlo Gyongyosi, Sándor Imre · 2019 · Quantum Information Processing
32. Hybrid Quantum Computing with Conditional Beam Splitter Gate in Trapped Ion System
    Jaren Gan, Gleb Maslennikov, Ko-Wei Tseng, Chi Huan Nguyen, Dzmitry Matsukevich · 2020 · Physical Review Letters
33. Efficient Quantum Circuits for Accurate State Preparation of Smooth, Differentiable Functions
    Adam A. Holmes, A. Y. Matsuura · 2020 · IEEE International Conference on Quantum Computing and Engineering (QCE)
34. Power-optimal, stabilized entangling gate between trapped-ion qubits
    R. Blümel, Nikodem Grzesiak, Neal C. Pisenti, Kenneth Wright, Yunseong Nam · 2021 · npj Quantum Information
35. Managing Distributed Machine Learning Lifecycle for Healthcare Data in the Cloud
    Engin Zeydan, Şuayb S. Arslan, Madhusanka Liyanage · 2024 · IEEE Access
36. Quantum algorithm and quantum circuit for A-optimal projection: Dimensionality reduction
    Bojia Duan, Jiabin Yuan, Juan Xu, Dan Li · 2019 · Physical Review A
37. An Improved Implementation Approach for Quantum Phase Estimation on Quantum Computers
    Hamed Mohammadbagherpoor, Young-Hyun Oh, Patrick Dreher, Anand Singh, Xianqing Yu, Andy Rindos · 2019 · IEEE International Conference on Rebooting Computing (ICRC)
38. Improved Handwritten Digit Recognition using Quantum K-Nearest Neighbor Algorithm
    Yuxiang Wang, Ruijin Wang, Dongfen Li, Daniel Adu-Gyamfi, Kaibin Tian, Yixin Zhu · 2019 · International Journal of Theoretical Physics
39. Generalized quantum circuit differentiation rules
    Oleksandr Kyriienko, Vincent E. Elfving · 2021 · Physical Review A
40. Quantum Finance: Exploring the Implications of Quantum Computing on Financial Models
    Jiawei Zhou · 2025 · Computational Economics
41. Quantum Dilated Convolutional Neural Networks
    Yixiong Chen · 2022 · IEEE Access
42. Speeding Up Learning Quantum States Through Group Equivariant Convolutional Quantum Ansätze
    Han Zheng, Zimu Li, Junyu Liu, Sergii Strelchuk, Risi Kondor · 2023 · PRX Quantum
43. Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines
    Artur Miroszewski, Jakub Mielczarek A B, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa · 2023 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
44. A Survey on Available Tools and Technologies Enabling Quantum Computing
    Prateek Singh, R. Dasgupta, Anushka Singh, Harsh Pandey, Vikas Hassija, Vinay Chamola, Biplab Sikdar · 2024 · IEEE Access
45. Analyzing Prospects for Quantum Advantage in Topological Data Analysis
    Dominic William Berry, Yuan Su, Casper Gyurik, Robbie King, Joao Basso, Alexander Del Toro Barba, Abhishek Rajput, Nathan Wiebe, Vedran Dunjko, Ryan Babbush · 2024 · PRX Quantum
46. Resonant quantum principal component analysis
    Zhaokai Li, Zihua Chai, Yuhang Guo, Wentao Ji, Mengqi Wang, Fazhan Shi, Ya Wang, Seth Lloyd, Jiangfeng Du · 2021 · Science Advances
47. Quantum processor-inspired machine learning in the biomedical sciences
    Richard Y. Li, Sharvari Gujja, Sweta R. Bajaj, Omar Gamel, Nicholas A. Cilfone, Jeffrey R. Gulcher, Daniel A. Lidar, Thomas W. Chittenden · 2021 · Patterns
48. Presence and Absence of Barren Plateaus in Tensor-Network Based Machine Learning
    Zidu Liu, Li-Wei Yu, Luming Duan, Dong-Ling Deng · 2022 · Physical Review Letters
49. Trainability barriers and opportunities in quantum generative modeling
    Manuel S. Rudolph, Sacha Lerch, Supanut Thanasilp, Oriel Kiss, Oxana Shaya, Sofia Vallecorsa, Michele Grossi, Zoë Holmes · 2024 · npj Quantum Information
50. Markovian Quantum Neuroevolution for Machine Learning
    Zhide Lu, Pei-Xin Shen, Dong-Ling Deng · 2021 · Physical Review Applied
51. Demonstration of topological data analysis on a quantum processor
    He-Liang Huang, Xi‐Lin Wang, Peter P. Rohde, Yi-Han Luo, Youwei Zhao, Chang Liu, Li Li, Nai-Le Liu, Chao‐Yang Lu, Jian-Wei Pan · 2018 · Optica
52. Optimizing High-Efficiency Quantum Memory with Quantum Machine Learning for Near-Term Quantum Devices
    Laszlo Gyongyosi, Sándor Imre · 2020 · Scientific Reports
53. Variational quantum tensor networks classifiers
    Rui Huang, Xiaoqing Tan, Qingshan Xu · 2021 · Neurocomputing
54. Towards quantum advantage via topological data analysis
    Casper Gyurik, Chris Cade, Vedran Dunjko · 2022 · Quantum
55. Quantum-Inspired Algorithms for Solving Low-Rank Linear Equation Systems with Logarithmic Dependence on the Dimension
    Nai-Hui Chia, Gilyén, András, Han-Hsuan Lin, Seth Lloyd, Tang, Ewin, Chunhao Wang · 2018 · arXiv (Cornell University)
56. Prospects and challenges of quantum finance
    Bouland, Adam, van Dam, Wim, Joorati, Hamed, Kerenidis, Iordanis, Prakash, Anupam · 2020 · arXiv
57. Quantum Embedding Search for Quantum Machine Learning
    Nam Nguyen, Kwang‐Cheng Chen · 2022 · IEEE Access
58. Configurable sublinear circuits for quantum state preparation
    Israel F. Araujo, Daniel K. Park, Teresa B. Ludermir, Wilson Rosa de Oliveira, Francesco Petruccione, Adenilton José da Silva · 2023 · Quantum Information Processing
59. Perspectives of quantum computing for chemical engineering
    David E. Bernal, Akshay Ajagekar, Stuart M. Harwood, Spencer T. Stober, Dimitar Trenev, Fengqi You · 2022 · AIChE Journal
60. Realizing quantum gates with optically addressable Yb + 171 ion qudits
    Mikhail A. Aksenov, Ilia V. Zalivako, Ilya A. Semerikov, A. S. Borisenko, Nikita V. Semenin, Pavel Sidorov, Aleksey K. Fedorov, Ksenia Yu. Khabarova, N. Kolachevsky · 2023 · Physical Review A
61. Enhancing the Quantum Linear Systems Algorithm Using Richardson Extrapolation
    Almudena Carrera Vazquez, Ralf Hiptmair, Stefan Woerner · 2022 · ACM Transactions on Quantum Computing
62. Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm
    Verdon, Guillaume, Marks, Jacob, Nanda, Sasha, Leichenauer, Stefan, Hidary, Jack · 2019 · arXiv
63. Multiple access multicarrier continuous-variable quantum key distribution
    László Gyöngyösi, Sándor Imre · 2018 · Chaos Solitons & Fractals
64. Multicarrier continuous-variable quantum key distribution
    László Gyöngyösi · 2019 · Theoretical Computer Science
65. Learning to Learn Variational Quantum Algorithm
    Rui Huang, Xiaoqing Tan, Qingshan Xu · 2022 · IEEE Transactions on Neural Networks and Learning Systems
66. Quantum anomaly detection with density estimation and multivariate Gaussian distribution
    Jin‐Min Liang, Shu‐Qian Shen, Ming Li, Lei Li · 2019 · Physical Review A
67. Nonlinear quantum neuron: A fundamental building block for quantum neural networks
    Shilu Yan, Hongsheng Qi, Wei Cui · 2020 · Physical Review A
68. Direct measurement of large-scale quantum states via expectation values of non-Hermitian matrices
    Eliot Bolduc, Genevieve Gariepy, Jonathan Leach · 2016 · Nature Communications
69. Sublinear quantum algorithms for training linear and kernel-based classifiers
    Tongyang Li, Shouvanik Chakrabarti, Xiaodi Wu · 2019 · arXiv (Cornell University)
70. ResQNets: a residual approach for mitigating barren plateaus in quantum neural networks
    Muhammad Kashif, Saif M. Al-Kuwari · 2024 · EPJ Quantum Technology
71. New Quantum Algorithms for Computing Quantum Entropies and Distances
    Qisheng Wang, Ji Guan, Junyi Liu, Zhicheng Zhang, Mingsheng Ying · 2024 · IEEE Transactions on Information Theory
72. QSAN: A Near-Term Achievable Quantum Self-Attention Network
    Jinjing Shi, Ren-Xin Zhao, Wenxuan Wang, Shichao Zhang, Xuelong Li · 2024 · IEEE Transactions on Neural Networks and Learning Systems
73. Quantum-inspired algorithm for direct multi-class classification
    Roberto Giuntini, Federico Holik, Daniel K. Park, Héctor Freytes, Carsten Blank, Giuseppe Sergioli · 2022 · Applied Soft Computing
74. Entanglement Availability Differentiation Service for the Quantum Internet
    László Gyöngyösi, Sándor Imre · 2018 · Scientific Reports
75. Quantum Computation in Robotic Science and Applications
    Christina Petschnigg, Mathias Brandstötter, Horst Pichler, Michael Hofbaur, Bernhard Dieber · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
76. Quantum Machine-Learning for Eigenstate Filtration in Two-Dimensional Materials
    Manas Sajjan, Shree Hari Sureshbabu, Sabre Kais · 2021 · Journal of the American Chemical Society
77. Digital-analog quantum algorithm for the quantum Fourier transform
    Ana Martin, Lucas Lamata, E. Solano, Mikel Sanz · 2020 · Physical Review Research
78. Variational quantum algorithms for dimensionality reduction and classification
    Jin‐Min Liang, Shu‐Qian Shen, Ming Li, Lei Li · 2020 · Physical Review A
79. A Grover-search based quantum learning scheme for classification
    Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Dacheng Tao · 2021 · New Journal of Physics
80. Enhancing quantum adversarial robustness by randomized encodings
    Weiyuan Gong, Yuan Dong, Weikang Li, Dong-Ling Deng · 2024 · Physical Review Research
81. A resource-efficient quantum convolutional neural network
    Yanqi Song, Jing Li, Yusen Wu, Su‐Juan Qin, Qiaoyan Wen, Fei Gao · 2024 · Frontiers in Physics
82. How quantum computing can enhance biomarker discovery
    Frederik F. Flöther, Daniel J Blankenberg, Maria Demidik, Karl Jansen, Raga Krishnakumar, Rajiv Krishnakumar, Nouamane Laanait, Laxmi Parida, Carl Y. Saab, Filippo Utro · 2025 · Patterns
83. Improved quantum algorithm for A-optimal projection
    Shi‐Jie Pan, Lin‐Chun Wan, Hailing Liu, Qing-Le Wang, Su‐Juan Qin, Qiaoyan Wen, Fei Gao · 2020 · Physical Review A
84. QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity
    Stein, Samuel A., Baheri, Betis, Chen, Daniel, Mao, Ying, Guan, Qiang, Li, Ang, Xu, Shuai, Ding, Caiwen · 2021 · arXiv
85. QDataSet, quantum datasets for machine learning
    Elija Perrier, Akram Youssry, Christopher Ferrie · 2022 · Scientific Data
86. Quantum Algorithms for Anomaly Detection Using Amplitude Estimation
    Mingchao Guo, Hailing Liu, Yongmei Li, Wenmin Li, Fei Gao, Su‐Juan Qin, Qiaoyan Wen · 2022 · Physica A Statistical Mechanics and its Applications
87. Variational quantum algorithms: fundamental concepts, applications and challenges
    Han Qi, Sihui Xiao, Zhuo Liu, Changqing Gong, Abdullah Gani · 2024 · Quantum Information Processing
88. Quantum‐Noise‐Driven Generative Diffusion Models
    Marco Parigi, Stefano Martina, Filippo Caruso · 2024 · Advanced Quantum Technologies
89. Quantum Algorithm for Fidelity Estimation
    Qisheng Wang, Zhicheng Zhang, Kean Chen, Ji Guan, Wang Sheng Fang, Junyi Liu, Mingsheng Ying · 2022 · IEEE Transactions on Information Theory
90. Quantum Speed-ups for Semidefinite Programming
    Fernando G. S. L. Brandão, Krysta M. Svore · 2016 · arXiv (Cornell University)
91. Entanglement-Induced Barren Plateaus
    Ortiz Marrero, Carlos, Kieferová, Mária, Wiebe, Nathan · 2021 · PRX Quantum
92. Quantum Transfer Learning for Real-World, Small, and High-Dimensional Remotely Sensed Datasets
    Soronzonbold Otgonbaatar, Gottfried Schwarz, Mihai P. Datcu, Dieter August Kranzlmüller · 2023 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
93. Imaging the collective excitations of an ultracold gas using statistical correlations
    Romain Dubessy, Camilla De Rossi, Thomas Badr, Laurent Longchambon, Hélène Perrin · 2014 · New Journal of Physics
94. An all-pair quantum SVM approach for big data multiclass classification
    Arit Kumar Bishwas, Ashish Mani, Vasile Palade · 2018 · Quantum Information Processing
95. QUANTUM INFORMATICS: OVERVIEW OF THE MAIN ACHIEVEMENTS
    Alexander S. Sigov, E. Andrianova, Dmitry Zhukov, Sergey V. Zykov, Ilya E. Tarasov · 2019 · Russian Technological Journal
96. 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 · 2022 · Journal of the ACM
97. Non-IID quantum federated learning with one-shot communication complexity
    Haimeng Zhao · 2023 · Quantum Machine Intelligence
98. Hybrid quantum genetic algorithm for structural damage identification
    Lianming Xu, Xiaojun Wang, Zhenghuan Wang, Geyong Cao · 2025 · Computer Methods in Applied Mechanics and Engineering
99. Multilayer Optimization for the Quantum Internet
    Laszlo Gyongyosi, Sándor Imre · 2018 · Scientific Reports
100. A quantum-inspired classifier for clonogenic assay evaluations
     Giuseppe Sergioli, Carmelo Militello, Leonardo Rundo, Luigi Minafra, Filippo Torrisi, Giorgio Ivan Russo, Keng Loon Chow, Roberto Giuntini · 2021 · Scientific Reports