Quantum Machine Learning
15 papers for year 2023 from Europe PMC
Showing 1-12 of 15
Advances in Quantum Computing.
La Cour B.
Deep Neural Network Assisted Quantum Chemistry Calculations on Quantum Computers.
Ghosh K, Kumar S, Rajan NM, Yamijala SSRKC.
Enhancing the performance of an open quantum battery by adjusting its velocity
Mojaveri B, Bahrbeig RJ, Fasihi MA, Babanzadeh S.
Enhancing the Security of the BB84 Quantum Key Distribution Protocol against Detector-Blinding Attacks via the Use of an Active Quantum Entropy Source in the Receiving Station.
Stipčević M.
Fast reconstruction algorithm based on HMC sampling.
Lian H, Xu J, Zhu Y, Fan Z, Liu Y, Shan Z.
Investigating Imperfect Cloning for Extending Quantum Communication Capabilities.
Iqbal M, Velasco L, Costa N, Napoli A, Pedro J, Ruiz M.
Non-Markovian cost function for quantum error mitigation with Dirac Gamma matrices representation.
Ahn D.
Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction.
Fry D, Deshmukh A, Chen SY, Rastunkov V, Markov V.
Q-Pandora Unboxed: Characterizing Noise Resilience of Quantum Error Correction Codes
Chatterjee A, Das S, Ghosh S.
Quantum neural networks with multi-qubit potentials.
Ban Y, Torrontegui E, Casanova J.
Quantum-enhanced greedy combinatorial optimization solver.
Dupont M, Evert B, Hodson MJ, Sundar B, Jeffrey S, Yamaguchi Y, Feng D, Maciejewski FB, Hadfield S, Alam MS, Wang Z, Grabbe S, Lott PA, Rieffel EG, Venturelli D, Reagor MJ.
Realizing a deep reinforcement learning agent for real-time quantum feedback.
Reuer K, Landgraf J, Fösel T, O'Sullivan J, Beltrán L, Akin A, Norris GJ, Remm A, Kerschbaum M, Besse JC, Marquardt F, Wallraff A, Eichler C.