Quantum Machine Learning
237 papers for year 2020
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 133-144 of 237
Prospects and challenges of quantum finance
Adam Bouland, Wim van Dam, Hamed Joorati, Iordanis Kerenidis, Anupam Prakash
Prospects for Quantum Enhancement with Diabatic Quantum Annealing
E. J. Crosson, D. A. Lidar
Protocol Discovery for the Quantum Control of Majoranas by Differentiable Programming and Natural Evolution Strategies
Luuk Coopmans, Di Luo, Graham Kells, Bryan K. Clark, Juan Carrasquilla
Prove-It: A Proof Assistant for Organizing and Verifying General Mathematical Knowledge
Wayne M. Witzel, Warren D. Craft, Robert D. Carr, Joaquín E. Madrid Larrañaga
QHSL: a quantum hue, saturation, and lightness color model
Fei Yan, Nianqiao Li, Kaoru Hirota
Quanteninformationsverarbeitung in der Gymnasialen Oberstufe
Andreas J. C. Woitzik
Quantum advantage for differential equation analysis
Bobak T. Kiani, Giacomo De Palma, Dirk Englund, William Kaminsky, Milad Marvian, Seth Lloyd
Quantum chemical exercise linking computational chemistry to general chemistry topics
Simpson Scott, Evanoski-Cole Ashley, Gast Kellie, Wedvik Madeleine C., Schneider Patrick W., Klingensmith Isaac
Quantum Circuit Design Search
Mohammad Pirhooshyaran, Tamas Terlaky
Quantum circuit optimization using quantum Karnaugh map.
Bae JH, Alsing PM, Ahn D, Miller WA.
Quantum CNOT Circuits Synthesis for NISQ Architectures Using the Syndrome Decoding Problem
de Brugière T, Baboulin M, Valiron B, Martiel S, Allouche C.
Quantum Communication -- Celebrating the Silver Jubilee of Teleportation
Rotem Liss, Tal Mor