Quantum Machine Learning
46 papers for year 2016
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 1-12 of 46
A modular design of molecular qubits to implement universal quantum gates.
Ferrando-Soria J, Moreno Pineda E, Chiesa A, Fernandez A, Magee SA, Carretta S, Santini P, Vitorica-Yrezabal IJ, Tuna F, Timco GA, McInnes EJ, Winpenny RE.
A Neural Decoder for Topological Codes
Giacomo Torlai, Roger G. Melko
A novel quantum representation of color digital images
Jianzhi Sang, Shen Wang, Qiong Li
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