Quantum Machine Learning
248 papers for year 2022
Showing 121-132 of 248
Local quantum overlapping tomography
Bruna G. M. Araújo, Márcio M. Taddei, Daniel Cavalcanti, Antonio Acín
Long-Range QKD without Trusted Nodes is Not Possible with Current Technology
Bruno Huttner, Romain Alléaume, Eleni Diamanti, Florian Fröwis, Philippe Grangier, Hannes Hübel, Vicente Martin, Andreas Poppe, Joshua A. Slater, Tim Spiller, Wolfgang Tittel, Benoit Tranier, Adrian Wonfor, Hugo Zbinden
Machine Learning based Discrimination for Excited State Promoted Readout
Utkarsh Azad, Helena Zhang
Machine learning based joint polarization and phase compensation for CV-QKD
Hou-Man Chin, Adnan E. Hajomer, Nitin Jain, Ulrik L. Andersen, Tobias Gehring
Measuring Quantum Entanglement from Local Information by Machine Learning
Yulei Huang, Liangyu Che, Chao Wei, Feng Xu, Xinfang Nie, Jun Li, Dawei Lu, Tao Xin
Missing Value Estimation Framework Using Quantum Mechanics-based Generative Adversarial Network
Eunseo Oh, Hyunsoo Lee
Modelling Conformational Flexibility in a Spectrally Addressable Molecular Multi-Qubit Model System.
Rogers CJ, Asthana D, Brookfield A, Chiesa A, Timco GA, Collison D, Natrajan LS, Carretta S, Winpenny REP, Bowen AM.
Multiparameter estimation of continuous-time Quantum Walk Hamiltonians through Machine Learning
Ilaria Gianani, Claudia Benedetti
Multipartite entanglement generation in coupled microcavity arrays
Marc Bostelmann, Steffen Wilksen, Frederik Lohof, Christopher Gies
Navigating the dynamic noise landscape of variational quantum algorithms with QISMET
Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker, Tejas Kannan, Nathan Earnest, Ali Javadi-Abhari, Henry Hoffmann, Frederic T. Chong
Noise-Resilient Quantum Power Flow
Fei Feng, Yifan Zhou, Peng Zhang
Observing a topological phase transition with deep neural networks from experimental images of ultracold atoms
Entong Zhao, Ting Hin Mak, Chengdong He, Zejian Ren, Ka Kwan Pak, Yu-Jun Liu, Gyu-Boong Jo