Academic literature on the topic 'Variational quantum circuits'
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Journal articles on the topic "Variational quantum circuits"
Plekhanov, Kirill, Matthias Rosenkranz, Mattia Fiorentini, and Michael Lubasch. "Variational quantum amplitude estimation." Quantum 6 (March 17, 2022): 670. http://dx.doi.org/10.22331/q-2022-03-17-670.
Full textYetiş, Hasan, and Mehmet Karaköse. "A New Framework Containing Convolution and Pooling Circuits for Image Processing and Deep Learning Applications with Quantum Computing Implementation." Traitement du Signal 39, no. 2 (2022): 501–12. http://dx.doi.org/10.18280/ts.390212.
Full textSalmeron, Jose L., and Isabel Fernández-Palop. "Variational Quantum Circuit Topology Grid Search for Hypocalcemia Following Thyroid Surgery." Mathematics 11, no. 17 (2023): 3659. http://dx.doi.org/10.3390/math11173659.
Full textSen, Pinaki, Amandeep Singh Bhatia, Kamalpreet Singh Bhangu, and Ahmed Elbeltagi. "Variational quantum classifiers through the lens of the Hessian." PLOS ONE 17, no. 1 (2022): e0262346. http://dx.doi.org/10.1371/journal.pone.0262346.
Full textOgur, Besir, and Ihsan Yılmaz. "The effect of superposition and entanglement on hybrid quantum machine learning for weather forecasting." Quantum Information & Computation 23, no. 3&4 (2023): 181–94. http://dx.doi.org/10.26421/qic23.3-4-1.
Full textLi, Guangxi, Zhixin Song, and Xin Wang. "VSQL: Variational Shadow Quantum Learning for Classification." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 9 (2021): 8357–65. http://dx.doi.org/10.1609/aaai.v35i9.17016.
Full textLockwood, Owen, and Mei Si. "Reinforcement Learning with Quantum Variational Circuit." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 16, no. 1 (2020): 245–51. http://dx.doi.org/10.1609/aiide.v16i1.7437.
Full textMonbroussou, Léo, Eliott Z. Mamon, Jonas Landman, Alex B. Grilo, Romain Kukla, and Elham Kashefi. "Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning." Quantum 9 (May 15, 2025): 1745. https://doi.org/10.22331/q-2025-05-15-1745.
Full textFuncke, Lena, Tobias Hartung, Karl Jansen, Stefan Kühn, and Paolo Stornati. "Dimensional Expressivity Analysis of Parametric Quantum Circuits." Quantum 5 (March 29, 2021): 422. http://dx.doi.org/10.22331/q-2021-03-29-422.
Full textCai, Haoyuan, Qi Ye, and Dong-Ling Deng. "Sample complexity of learning parametric quantum circuits." Quantum Science and Technology 7, no. 2 (2022): 025014. http://dx.doi.org/10.1088/2058-9565/ac4f30.
Full textDissertations / Theses on the topic "Variational quantum circuits"
Murça, Miguel Eduardo de Vasconcelos Morais. "Molecular Geometry Calculations Using a Novel Quantum Variational Approach." Master's thesis, 2020. http://hdl.handle.net/10316/92475.
Full textBook chapters on the topic "Variational quantum circuits"
Conti, Claudio. "Variational Circuits for Quantum Solitons." In Quantum Science and Technology. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-44226-1_13.
Full textSchuld, Maria, and Francesco Petruccione. "Variational Circuits as Machine Learning Models." In Quantum Science and Technology. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83098-4_5.
Full textRizvi, Syed Muhammad Abuzar, Muhammad Shohibul Ulum, Naema Asif, and Hyundong Shin. "Neural Networks with Variational Quantum Circuits." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47359-3_15.
Full textGajjar, Pranshav, Zhenyu Zuo, Yanghepu Li, and Liang Zhao. "Enhancing Graph Convolutional Networks with Variational Quantum Circuits for Drug Activity Prediction." In Third Congress on Intelligent Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9379-4_57.
Full textKölle, Michael, Alexander Feist, Jonas Stein, Sebastian Wölckert, and Claudia Linnhoff-Popien. "Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-97635-3_33.
Full textKölle, Michael, Karola Schneider, Sabrina Egger, et al. "Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87327-0_3.
Full textKarur Mudugal Mathad, Rajashekharaiah, Abhishek Saurabh, Aditya Mishra, et al. "Transfer Learning Using Variational Quantum Circuit." In Communications in Computer and Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95502-1_20.
Full textCardama, F. Javier, Jorge Vázquez-Pérez, Tomás F. Pena, Juan C. Pichel, and Andrés Gómez. "Quantum Compilation Process: A Survey." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-90200-0_9.
Full textLariane, Mohcene Mouad, and Hacene Belhadef. "Variational Circuit Based Hybrid Quantum-Classical Algorithm VC-HQCA." In Quantum Computing: Applications and Challenges. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59318-5_2.
Full textGrassl, Markus. "Variations on Encoding Circuits for Stabilizer Quantum Codes." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20901-7_9.
Full textConference papers on the topic "Variational quantum circuits"
Liu, Chen-Yu, Kuan-Cheng Chen, and Chu-Hsuan Abraham Lin. "Learning Quantum Phase Estimation by Variational Quantum Circuits." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10651206.
Full textLiu, Chen-Yu, Samuel Yen-Chi Chen, Kuan-Cheng Chen, Wei-Jia Huang, and Yen-Jui Chang. "Programming Variational Quantum Circuits with Quantum-Train Agent." In 2025 International Conference on Quantum Communications, Networking, and Computing (QCNC). IEEE, 2025. https://doi.org/10.1109/qcnc64685.2025.00091.
Full textLi, Chuang, Zhaolin Liu, and Shibin Zhang. "Multiclassification quantum neural network based on variational quantum circuits." In Third International Conference on Electronics Technology and Artificial Intelligence (ETAI 2024), edited by Feng Yin and Zehui Zhan. SPIE, 2024. http://dx.doi.org/10.1117/12.3045429.
Full textTseng, Huan-Hsin, Hsin-Yi Lin, Samuel Yen-Chi Chen, and Shinjae Yoo. "Transfer Learning Analysis of Variational Quantum Circuits." In 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). IEEE, 2025. https://doi.org/10.1109/icasspw65056.2025.11011037.
Full textGushanskiy, Sergey, Viktor Potapov, and Maxim Polenov. "Quantum Neural Networks: Bridging Topological Structures and Variational Quantum Circuits." In 2025 International Russian Smart Industry Conference (SmartIndustryCon). IEEE, 2025. https://doi.org/10.1109/smartindustrycon65166.2025.10986184.
Full textBerti, Alessandro, Giacomo Antonioli, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti, and Alessandro Poggiali. "Variational Compression of Circuits for State Preparation." In 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE, 2024. https://doi.org/10.1109/qce60285.2024.10250.
Full textChen, Samuel Yen-Chi. "Learning to Program Variational Quantum Circuits with Fast Weights." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650743.
Full textBurgstahler, Blake, Ellis Wilson, Scott Pakin, and Frank Mueller. "Synthesis of Approximate Parametric Circuits for Variational Quantum Algorithms." In 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE, 2024. https://doi.org/10.1109/qce60285.2024.00019.
Full textKulshrestha, Ankit, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Bao Bach, and Ilya Safro. "QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits." In 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). IEEE, 2024. https://doi.org/10.1109/qce60285.2024.10264.
Full textGharibyan, Hrant, Vincent Paul Su, and Hayk Tepanyan. "Hierarchical Learning for Training Large-Scale Variational Quantum Circuits." In 2024 International Conference on Machine Learning and Applications (ICMLA). IEEE, 2024. https://doi.org/10.1109/icmla61862.2024.00279.
Full textReports on the topic "Variational quantum circuits"
Pasupuleti, Murali Krishna. Quantum-Enhanced Machine Learning: Harnessing Quantum Computing for Next-Generation AI Systems. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv125.
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