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 37-48 of 237
Compiling quantamorphisms for the IBM Q Experience
Ana Neri, Rui Soares Barbosa, José N. Oliveira
Complex Paths Around The Sign Problem
Andrei Alexandru, Gokce Basar, Paulo F. Bedaque, Neill C. Warrington
Constant-round Blind Classical Verification of Quantum Sampling
Kai-Min Chung, Yi Lee, Han-Hsuan Lin, Xiaodi Wu
Constant-round Multi-party Quantum Computation for Constant Parties
Zhu Cao
Curriculum-based Deep Reinforcement Learning for Quantum Control
Hailan Ma, Daoyi Dong, Steven X. Ding, Chunlin Chen
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
V. Nguyen, S. B. Orbell, D. T. Lennon, H. Moon, F. Vigneau, L. C. Camenzind, L. Yu, D. M. Zumbühl, G. A. D. Briggs, M. A. Osborne, D. Sejdinovic, N. Ares
Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines
Aidan Kehoe, Peter Wittek, Yanbo Xue, Alejandro Pozas-Kerstjens
Dementia Prediction Applying Variational Quantum Classifier
Daniel Sierra-Sosa, Juan Arcila-Moreno, Begonya Garcia-Zapirain, Cristian Castillo-Olea, Adel Elmaghraby
Demonstrating a Continuous Set of Two-Qubit Gates for Near-Term Quantum Algorithms.
Foxen B, Neill C, Dunsworth A, Roushan P, Chiaro B, Megrant A, Kelly J, Chen Z, Satzinger K, Barends R, Arute F, Arya K, Babbush R, Bacon D, Bardin JC, Boixo S, Buell D, Burkett B, Chen Y, Collins R, Farhi E, Fowler A, Gidney C, Giustina M, Graff R, Harrigan M, Huang T, Isakov SV, Jeffrey E, Jiang Z, Kafri D, Kechedzhi K, Klimov P, Korotkov A, Kostritsa F, Landhuis D, Lucero E, McClean J, McEwen M, Mi X, Mohseni M, Mutus JY, Naaman O, Neeley M, Niu M, Petukhov A, Quintana C, Rubin N, Sank D, Smelyanskiy V, Vainsencher A, White TC, Yao Z, Yeh P, Zalcman A, Neven H, Martinis JM, Google AI Quantum.
Demonstration of non-Markovian process characterisation and control on a quantum processor.
White GAL, Hill CD, Pollock FA, Hollenberg LCL, Modi K.
Density functionals and Kohn-Sham potentials with minimal wavefunction preparations on a quantum computer
Thomas E. Baker, David Poulin