Quantum principal component analysis

Cited by (1,001)

Items 801–900 of 1,001

  1. Quantum kernel evaluation via Hong–Ou–Mandel interference
    Cassandra Bowie, Sally Shrapnel, Michael J. Kewming · 2023 · Quantum Science and Technology
  2. Software for Massively Parallel Quantum Computing
    Thien Nguyen, Daanish Arya, Marcus W. Doherty, Nils Herrmann, Johannes Kuhlmann, Florian Preis, Pat Scott, Simon Yin · 2023 · Springer eBooks
  3. QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits
    Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Zhigang Pan, Frederic T. Chong, Song Han, Zhangyang Wang · 2023 · IEEE International Conference on Quantum Computing and Engineering (QCE)
  4. Quantum Privacy and Hypothesis-Testing
    Farhad Farokhi · 2023 · IEEE Conference on Decision and Control (CDC)
  5. Quantum self-organizing feature mapping neural network algorithm based on Grover search algorithm
    Zi Ye, Kai Yu, Gongde Guo, Song Lin · 2024 · Physica A Statistical Mechanics and its Applications
  6. Behavior prediction of fiber optic temperature sensor based on hybrid classical quantum regression model
    T. Kanimozhi, S. Sridevi, M. Valliammai, Jayavelu Mohanraj, N. Vinodhkumar, Amirthalingam Sathasivam · 2024 · Quantum Machine Intelligence
  7. Advancements and Applications of Quantum Computing in Robotics
    Anandakumar Haldorai · 2024 · Journal of Computing and Natural Science
  8. Matrix product state ansatz for the variational quantum solution of the Heisenberg model on Kagome geometries
    Younes Javanmard, Ugnė Liaubaitė, Tobias J. Osborne, Xusheng Xu, Man‐Hong Yung · 2024 · APL Quantum
  9. Limbs synergies based human motion intention estimation algorithm for using cane-type walking-aid robot
    Qingyang Yan, Jian Huang, Wenxia Xu · 2017 · International Conference on Advanced Robotics and Mechatronics (ICARM)
  10. Distributed Quantum Computation Assisted by Remote Toffoli Gate
    Ming‐Xing Luo, Hui-Ran Li · 2016 · Lecture notes in computer science
  11. Extracting Bayesian networks from multiple copies of a quantum system
    Kaonan Micadei, Gabriel Teixeira Landi, Eric Lutz · 2023 · Europhysics Letters (EPL)
  12. Quantum discriminative canonical correlation analysis
    Yongmei Li, Hailing Liu, Shi‐Jie Pan, Su‐Juan Qin, Fei Gao, Qiaoyan Wen · 2023 · Quantum Information Processing
  13. RoQNN: Noise-Aware Training for Robust Quantum Neural Networks.
    Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Zhigang Pan, Song Han · 2021 · arXiv (Cornell University)
  14. Quantum Machine Learning Algorithms
    Renata Wong, Tanya Garg, Ritu Thombre, Alberto Maldonado-Romo, PN Niranjan, Pinaki Sen, Mandeep Kaur Saggi, Amandeep Singh Bhatia · 2022 · Wiley eBooks
  15. Role of quantum state texture in probing resource theories and quantum phase transitions
    Ayan Patra, Tanoy Kanti Konar, Pritam Halder, Aditi Sen De · 2026 · Physical Review A
  16. Quantum machine learning for industry 5.0: Fundamental, applications and research challenges
    Zulqarnain Ahmed, J H Hemanth Kakarla, Abhishek Hazra, Mohan Gurusamy · 2026 · Computer Science Review
  17. Quantum simulation of small molecules for multiple applications
    Amit S. Kesari, Siddhartha K. Chaganti, Chandra Chowdhury · 2024 · Chemical Physics
  18. Machine Learning in the Quantum Era
    Sachin Khurana, Manisha J. Nene · 2023 · International Conference on Futuristic Technologies (INCOFT)
  19. Quantum Algorithm for Computing Distances between Subspaces
    Nhat A. Nghiem · 2023 · Physics Letters A
  20. Quantum algorithm for dynamic mode decomposition integrated with a quantum differential equation solver
    Yuta Mizuno, Tamiki Komatsuzaki · 2024 · Physical Review Research
  21. Introduction to Quantum-Train Toolkit
    Chen-Yu Liu, Chu-Hsuan Abraham Lin, Wei‐Jia Huang, Min-Hsiu Hsieh · 2024 · IEEE International Conference on Quantum Computing and Engineering (QCE)
  22. Quantum Algorithms for the Pathwise Lasso
    João Fernando Doriguello, Debbie Lim, Chi Seng Pun, Patrick Rebentrost, Tushar S. Vaidya · 2025 · Quantum
  23. Enhancing Classification Accuracy with Quantum Non-Negative Matrix Factorization and Quantum Support Vector Machines
    Belkacem Chikhaoui · 2025 · International Conference on Quantum Communications, Networking, and Computing (QCNC)
  24. Exploring the Synergy Between Neuro-Inspired Algorithms and Quantum Computing in Machine Learning
    G Nithya, Praveen Kumar R, V. Dineshbabu, P. Umamaheswari, T. Kalaivani · 2025 · International Journal of Computational and Experimental Science and Engineering
  25. Mapping quantum industry demands to education: a critical analysis of skills, qualifications, and modalities
    Shalini Devendrababu, Srinjoy Ganguly, Kannan Hemachandran · 2025 · EPJ Quantum Technology
  26. Enhancing quantum state reconstruction with structured classical shadows
    Zhen Qin, Joseph M. Lukens, Brian T. Kirby, Zhihui Zhu · 2025 · npj Quantum Information
  27. A systematic exploration of quantum software engineering in the NISQ era: Methods, lifecycle practices, and a taxonomy of challenges
    Mir Mohammad Yousuf, Shabir Ahmad Sofi · 2026 · Neurocomputing
  28. Statistical quadrature evolution by inference for multicarrier continuous-variable quantum key distribution
    László Gyöngyösi, Sándor Imre · 2019 · Quantum Studies Mathematics and Foundations
  29. Quantum Imitation Learning
    Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao · 2023 · IEEE Transactions on Neural Networks and Learning Systems
  30. A Bibliometric Analysis of Quantum Machine Learning Research
    Ali Asghar Ahmadikia, Arman Shirzad, Ali Mohammad Saghiri · 2024 · Science & Technology Libraries
  31. Quantum‐inspired hybrid algorithm for image classification and segmentation: Q‐Means ++ max‐cut method
    Suman Kumar Roy, Bhawana Rudra · 2024 · International Journal of Imaging Systems and Technology
  32. Quantum Machine Learning of Bigdata Set Using Randomized Measurements
    R. I. Minu, G. Nagarajan, J. Jabez, G. Yamini · 2024 · International Conference on Circuit, Power and Computing Technologies
  33. Quantum Feasibility Labeling for NP-Complete Vertex Coloring Problem
    Junpeng Zhan · 2025 · IEEE Access
  34. Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma
    Domenico Pomarico, Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Antonio Lacalamita, Marianna La Rocca, T. Maggipinto, Ester Pantaleo, Sabina Tangaro, Sebastiano Stramaglia et al. · 2025 · Discover Applied Sciences
  35. Exploring the Intersection of Quantum Computing and Machine Learning: A Comprehensive Introduction
    Shanti Dhami · 2025 · International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
  36. Quantum Lower Bounds by Sample-to-Query Lifting
    Qisheng Wang, Zhicheng Zhang · 2025 · SIAM Journal on Computing
  37. Experimentally detecting a quantum change point via the Bayesian inference
    Shang Yu, Chang-Jiang Huang, Jian‐Shun Tang, Zhian Jia, Yi-Tao Wang, Zhi‐Jin Ke, Wei Liu, Xiao Liu, Zong‐Quan Zhou, Ze-Di Cheng et al. · 2018 · Physical Review A
  38. An improved quantum algorithm for support matrix machines
    Yanbing Zhang, Tingting Song, Zhihao Wu · 2021 · Quantum Information Processing
  39. A quantum search algorithm of two-dimensional convex hull
    Cheng Wang, Ri‐Gui Zhou · 2021 · Communications in Theoretical Physics
  40. Quantum locality preserving projection algorithm
    Xiaoyun He, Anqi Zhang, Shengmei Zhao · 2022 · Quantum Information Processing
  41. A Quantum-Inspired Classifier for Early Web Bot Detection
    Alberto Cabri, Francesco Masulli, Stefano Rovetta, Grażyna Suchacka · 2022 · IEEE Transactions on Information Forensics and Security
  42. An Example of Use of Variational Methods in Quantum Machine Learning
    Marco Simonetti, Damiano Perri, Osvaldo Gervasi · 2022 · Lecture notes in computer science
  43. Dimension Reduction and Redundancy Removal through Successive Schmidt Decompositions
    Ammar Daskin, Rishabh Gupta, Sabre Kais · 2023 · Applied Sciences
  44. A Decentralized Framework for Kernel PCA With Projection Consensus Constraints
    Fan He, Ruikai Yang, Lei Shi, Xiaolin Huang · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  45. Quantum error-correcting output codes
    David Windridge, Riccardo Mengoni, Rajagopal Nagarajan · 2018 · International Journal of Quantum Information
  46. Quantum QR decomposition in the computational basis
    Guangsheng Ma, Hongbo Li, Jiman Zhao · 2020 · Quantum Information Processing
  47. Decoherence dynamics estimation for superconducting gate-model quantum computers
    László Gyöngyösi · 2020 · Quantum Information Processing
  48. Quantum Ciphertext Dimension Reduction Scheme for Homomorphic Encrypted Data
    Changqing Gong, Zhaoyang Dong, Abdullah Gani, Han Qi · 2021 · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
  49. Quantum Humanities: A First Use Case for Quantum-ML in Media Science
    Johanna Barzen, Frank Leymann · 2019 · Digitale Welt
  50. Sparse quantum Gaussian processes to counter the curse of dimensionality
    Gaweł Kuś, Sybrand van der Zwaag, Miguel Aníbal Bessa · 2021 · Quantum Machine Intelligence
  51. A Complexity-Efficient Quantum Architecture and Simulation for Eigen Spectrum Estimation of Vandermonde System in a Large Antenna Array
    Mostafizur Rahaman Laskar, Amit Kumar Dutta · 2023 · IEEE Transactions on Circuits and Systems I Regular Papers
  52. Quantum Algorithm for Support Vector Machine with Exponentially Improved Dependence on Precision
    Feng Xiao, Jincheng Li, Changgui Huang, Jinze Li, Ruyin Chen, Jinfa Ke, Zhenjiang Ma · 2019 · Lecture notes in computer science
  53. Recommender systems inspired by the structure of quantum theory
    Cyril Stark · 2016 · arXiv (Cornell University)
  54. Quantum Circuit Designs for Gate-Model Quantum Computer Architectures.
    László Gyöngyösi · 2018 · arXiv (Cornell University)
  55. Quantum Computing Aided Machine Learning Through Quantum State Fidelity
    Samuel A. Stein · 2021 · Preprints.org
  56. Exploring Information for Quantum Machine Learning Models
    Michael Telahun · 2020
  57. Trainable Discrete Feature Embeddings for Variational Quantum Classifier
    Napat Thumwanit, Chayaphol Lortaraprasert, Hiroshi Yano, Rudy Raymond · 2021 · arXiv (Cornell University)
  58. A multi-commodity network model for optimal quantum reversible circuit synthesis
    Jihye Jung, In-Chan Choi · 2021 · PLoS ONE
  59. Optimal Coherent Quantum Phase Estimation Via Tapering
    Dhrumil Patel, Shi Jie Samuel Tan, Yiğit Subaşı, Andrew T. Sornborger · 2026 · PRX Quantum
  60. Unrolled generative adversarial network for continuous distributions under hybrid quantum-classical model
    Chen Gong, Zhuo-Yu Wen, Yun-Wei Deng, Nanrun Zhou, Qing-Wei Zeng · 2024 · Laser Physics Letters
  61. Cyber Defense in Quantum Technologies: An Overview
    Attila Balázs Nagy, Beatrix Fregán, Zoltán Rajnai · 2024 · IEEE International Symposium on Intelligent Systems and Informatics (SISY)
  62. Improved quantum power method and numerical integration using a quantum singular-value transformation
    Nhat A. Nghiem, Hiroki Sukeno, Shuyu Zhang, Tzu-Chieh Wei · 2025 · Physical Review A
  63. QLSTM4FM: Quantum Assisted Long Short-Term Memory Framework for Financial Market Trend Forecasting
    Sourodeep Kundu, Nachiketa Tarasia, Rabindra Kumar Barik · 2024 · International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT)
  64. Diagnosis, Prediction, and Risk Factor Analysis of Multiple Sclerosis Disease using Quantum Machine Learning Classifier
    Jyoti Garg, Vaishali Mehta Wadhwa, Harminder Kaur, Rohak Tiwari, Vasu Mittal, Avinash Sharma · 2025 · International Conference on Pervasive Computational Technologies (ICPCT)
  65. Parallel Quantum Signal Processing Via Polynomial Factorization
    John M. Martyn, Zane M. Rossi, Kevin Z. Cheng, Yuan Liu, Isaac L. Chuang · 2025 · Quantum
  66. Quantum-enhanced classification: an empirical study of quantum support vector machines using the iris and wine datasets
    Deepak Ranga, Sunil Prajapat, Pankaj Kumar, Zahid Akhtar, Mohammed Al-Khalidi · 2025 · Physica Scripta
  67. Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics
    Chelsea A. Williams, Antonio A. Gentile, Vincent E. Elfving, Daniel Berger, Oleksandr Kyriienko · 2025 · Advanced Quantum Technologies
  68. Quantum convolutional neural network for phase recognition in two dimensions
    Leon C. Sander, Nathan A. McMahon, Petr Zapletal, Michael J. Hartmann · 2025 · Physical Review Research
  69. Efficient Gaussian State Preparation in Quantum Circuits
    Yichen Xie, Nadav Ben-Ami · 2025 · IEEE International Conference on Quantum Computing and Engineering (QCE)
  70. Emerging Paradigm of Quantum Machine Learning: Knowledge Insights and Future Prospects
    Keshav Singh Rawat, Tarun Kr. Sharma · 2026 · IEEE Transactions on Artificial Intelligence
  71. Advancing quantum machine learning from conceptual design to practical use
    Sivarama Prasad Tera, Ravikumar Chinthaginjala, Xin Zhao, Monia Hamdi · 2026 · Expert Systems with Applications
  72. A review of quantum machine learning algorithms, applications, and emerging advantages
    Shreeya Sanjeev Gokhale, Rishit Ravi Dhote, Radhakrishnan Delhibabu · 2026 · Discover Computing
  73. Non-Parametric Semi-Supervised Learning in Many-Body Hilbert Space with Rescaled Logarithmic Fidelity
    Weiming Li, Shi-Ju Ran · 2022 · Mathematics
  74. Efficient Data Loading with Quantum Autoencoder
    Siang-Ruei Wu, Chun-Tse Li, Hao–Chung Cheng · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
  75. Full-Rotation Quantum Convolutional Neural Network for Abnormal Intrusion Detection System
    Suya Chao, Guang Yang, Min Nie, Yuanhua Liu, Meiling Zhang · 2022
  76. Execution of a quantum algorithm for calculating energies of some quantum mechanical systems
    Siddhartha K. Chaganti, Amit S. Kesari, Chandra Chowdhury · 2023 · Chemical Physics
  77. Parallelized variational quantum classifier with shallow QRAM circuit
    Bojia Duan, Xin Sun, Chang‐Yu Hsieh · 2024 · Quantum Information Processing
  78. Regressing bubble cluster dynamics as a disordered many-body system
    Kazuki Maeda, Daniel Fuster · 2024 · Journal of Fluid Mechanics
  79. Mixed-Dimensional Qudit State Preparation Using Edge-Weighted Decision Diagrams
    Kevin Mato, Stefan Hillmich, Robert Wille · 2024 · ACM/IEEE Design Automation Conference (DAC)
  80. Variational Quantum Algorithms in Anomaly Detection, Fraud Indicator Identification, Credit Scoring, and Stock Price Prediction
    Hiep. L. Thi, Thanh Thi Nguyen · 2024 · Lecture notes in networks and systems
  81. Approximate Relational Reasoning for Quantum Programs
    Peng Yan, Hanru Jiang, Nengkun Yu · 2024 · Lecture notes in computer science
  82. CTQW-GraphSAGE: Trainabel Continuous-Time Quantum Walk On Graph
    Yangjie Xu, Hui Huang, Radu State · 2024 · Lecture notes in computer science
  83. Remote sensing classification using quantum image processing
    Hrithik Kumar, Teymoor Ali, Chris J. Holder, Andrew Stephen McGough, Deepayan Bhowmik · 2024 · Image and signal processing for remote sensing. Conference
  84. Quantum Machine Learning for Invasive Ductal Carcinoma Classification using Quantum Kernels
    K. Dhanalakshmi, G. Nagarajan · 2024 · International Conference on Data Intelligence and Cognitive Informatics (ICDICI)
  85. Expressivity of deterministic quantum computation with one qubit
    Yujin Kim, Daniel K. Park · 2025 · Physical Review A
  86. Auction-Based Trustworthy and Resilient Quantum Distributed Learning
    Hyunsoo Lee, Seok Bin Son, Samuel Yen-Chi Chen, Soohyun Park · 2025 · IEEE Internet of Things Journal
  87. Learning Robust Observable to Address Noise in Quantum Machine Learning
    Bikram Khanal, Pablo Rivas · 2025 · Communications in computer and information science
  88. Quantum Computing: Implications for Artificial Intelligence and Machine Learning
    V. Rama Krishna, Ravi Kumar Jalli, Kallakuri N V P S Brahma Ramesh, Neerugatti Varipally Vishwanath, Neha Purohit · 2025 · Metallurgical and Materials Engineering
  89. qlbm – A quantum lattice Boltzmann software framework
    Georgescu Calin, Merel A. Schalkers, Matthias Möller · 2025 · Computer Physics Communications
  90. Sample-based Hamiltonian and Lindbladian simulation: non-asymptotic analysis of sample complexity
    Byeongseon Go, Hyukjoon Kwon, Siheon Park, Dhrumil Patel, Mark M. Wilde · 2025 · Quantum Science and Technology
  91. Batched quantum state exponentiation and quantum Hebbian learning
    Thomas R. Bromley, Patrick Rebentrost · 2019 · Quantum Machine Intelligence
  92. Quantum Anomaly Detection with a Spin Processor in Diamond
    Zihua Chai, Ying Liu, Mengqi Wang, Yuhang Guo, Fazhan Shi, Zhaokai Li, Ya Wang, Jiangfeng Du · 2024 · Advanced Quantum Technologies
  93. Improved real-space parallelizable matrix-product state compression and its application to unitary quantum dynamics simulation
    Rong-Yang Sun, Tomonori Shirakawa, Seiji Yunoki · 2024 · Physical review. B./Physical review. B
  94. Quantum-enhanced algorithms for classical target detection in complex environments
    Peter B. Weichman · 2021 · Physical Review A
  95. Fidelity-based supervised and unsupervised learning for binary classification of quantum states
    Farzad Shahi, A. T. Rezakhani · 2021 · The European Physical Journal Plus
  96. Quasi-polynomial Time Approximation of Output Probabilities of Geometrically-local, Shallow Quantum Circuits
    Nolan J. Coble, Matthew Coudron · 2022 · Annual Symposium on Foundations of Computer Science
  97. An unsupervised feature learning for quantum-classical convolutional network with applications to fault detection
    Tong Dou, Kaiwei Wang, Zhenwei Zhou, Shilu Yan, Wei Cui · 2021 · Chinese Control Conference (CCC)
  98. Quantum Computing for Machine Learning
    Dipesh Niraula, Jamalina Jamaluddin, Julia M. Pakela, Issam El Naqa · 2022 · Springer eBooks
  99. Fast algorithm for quantum polar decomposition and applications
    Yihui Quek, Patrick Rebentrost · 2022 · Physical Review Research
  100. Alternatives to a nonhomogeneous partial differential equation quantum algorithm
    Alexandre C. Ricardo, Gabriel P. L. M. Fernandes, Eduardo I. Duzzioni, V. L. Campo, Celso J. Villas-Bôas · 2022 · Physical Review A