Quantum Machine Learning
248 papers for year 2022
Showing 97-108 of 248
High-Q trampoline resonators from strained crystalline InGaP for integrated free-space optomechanics
Sushanth Kini Manjeshwar, Anastasiia Ciers, Fia Hellman, Jürgen Bläsing, André Strittmater, Witlef Wieczorek
HOTS-Speed Test Integrated Quantum Learning Model: Can Improve Mathematical Concept Mastery?
I Wayan Eka Mahendra
How Much Structure Is Needed for Huge Quantum Speedups?
Scott Aaronson
Hybrid actor-critic algorithm for quantum reinforcement learning at CERN beam lines
Michael Schenk, Elías F. Combarro, Michele Grossi, Verena Kain, Kevin Shing Bruce Li, Mircea-Marian Popa, Sofia Vallecorsa
Hybrid classical-quantum machine learning based on dissipative two-qubit channels.
Ghasemian E, Tavassoly MK.
Hybrid quantum neural network for drug response prediction
Asel Sagingalieva, Mohammad Kordzanganeh, Nurbolat Kenbayev, Daria Kosichkina, Tatiana Tomashuk, Alexey Melnikov
Identification of quantum entanglement with Siamese convolutional neural networks and semi-supervised learning
Jarosław Pawłowski, Mateusz Krawczyk
Impact of the form of weighted networks on the quantum extreme reservoir computation
Aoi Hayashi, Akitada Sakurai, Shin Nishio, William J. Munro, Kae Nemoto
Implementation of Quantum Algorithms via Fast Three-Rydberg-Atom CCZ Gates.
Tang S, Yang C, Li D, Shao X.
Implicit differentiation of variational quantum algorithms
Shahnawaz Ahmed, Nathan Killoran, Juan Felipe Carrasquilla Álvarez
Improved Tomographic Estimates by Specialised Neural Networks
Massimiliano Guarneri, Ilaria Gianani, Marco Barbieri, Andrea Chiuri
Improving Quantum Classifier Performance in NISQ Computers by Voting Strategy from Ensemble Learning
Ruiyang Qin, Zhiding Liang, Jinglei Cheng, Peter Kogge, Yiyu Shi