Quantum Machine Learning
248 papers for year 2022
Showing 73-84 of 248
Expressibility-Enhancing Strategies for Quantum Neural Networks
Yalin Liao, Junpeng Zhan
Expressive Quantum Perceptrons for Quantum Neuromorphic Computing
Rodrigo Araiza Bravo, Khadijeh Najafi, Taylor L. Patti, Xun Gao, Susanne F. Yelin
Extracting Wilson loop operators and fractional statistics from a single bulk ground state
Ze-Pei Cian, Mohammad Hafezi, Maissam Barkeshli
Faster Quantum State Decomposition with Tucker Tensor Approximation
Protasov S, Lisnichenko M.
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State Tomography
Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
Feature Selection for Classification with QAOA
Gloria Turati, Maurizio Ferrari Dacrema, Paolo Cremonesi
Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets
Miguel Caçador Peixoto, Nuno Filipe Castro, Miguel Crispim Romão, Maria Gabriela Jordão Oliveira, Inês Ochoa
Fourier-Flow model generating Feynman paths
Shile Chen, Oleh Savchuk, Shiqi Zheng, Baoyi Chen, Horst Stoecker, Lingxiao Wang, Kai Zhou
From point processes to quantum optics and back
Rémi Bardenet, Alexandre Feller, Jérémie Bouttier, Pascal Degiovanni, Adrien Hardy, Adam Rançon, Benjamin Roussel, Grégory Schehr, Christoph I. Westbrook
Fully and partially distributed Quantum Generalized Benders Decomposition for Unit Commitment Problems
Fang Gao, Dejian Huang, Ziwei Zhao, Wei Dai, Mingyu Yang, Qing Gao, Yu Pan
Functional Simulation of Real-Time Quantum Control Software
Leon Riesebos, Kenneth R. Brown
FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features
Hankyul Baek, Won Joon Yun, Joongheon Kim