Quantum Machine Learning
3,957 papers
Quantum Machine Learning Research Context
This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.
Showing 3733-3744 of 3,957
A Projective Simulation Scheme for Partially-Observable Multi-Agent Systems
Rasoul Kheiri
A transportable optical lattice clock with $7\times10^{-17}$ uncertainty
S. B. Koller, J. Grotti, St. Vogt, A. Al-Masoudi, S. Dörscher, S. Häfner, U. Sterr, Ch. Lisdat
An Efficient Quantum Algorithm for a Variant of the Closest Lattice-Vector Problem
Lior Eldar, Peter W. Shor
ASSESSMENT OF RESTORATION METHODS OF X-RAY IMAGES WITH EMPHASIS ON MEDICAL PHOTOGRAMMETRIC USAGE
S. Hosseinian, H. Arefi
Calculation of entanglement in graph states up to five-qubit based on generalized concurrence
Ahmad Akhound, Saeed Haddadi, Mohammad Ali Chaman Motlagh
Comment on “Secure quantum private information retrieval using phase-encoded queries”
Run-hua Shi, Yi Mu, Hong Zhong, Shun Zhang
Computational quantum-classical boundary of noisy commuting quantum circuits.
Fujii K, Tamate S.
Concrete Security Against Adversaries with Quantum Superposition Access to Encryption and Decryption Oracles
Shahram Mossayebi, Rüdiger Schack
Design Automation and Design Space Exploration for Quantum Computers
Mathias Soeken, Martin Roetteler, Nathan Wiebe, Giovanni De Micheli
Enhancing quantum sensing sensitivity by a quantum memory.
Zaiser S, Rendler T, Jakobi I, Wolf T, Lee SY, Wagner S, Bergholm V, Schulte-Herbrüggen T, Neumann P, Wrachtrup J.
Evaluation of the capacity of communication lines with nonlinear finite memory
E G Shapiro, D A Shapiro
Fidelity as a figure of merit in quantum error correction
Jonas Almlöf, Gunnar Björk