Quantum Machine Learning
256 papers for year 2021
Showing 85-96 of 256
Hybrid Quantum-Classical Neural Network for Incident Detection
Zadid Khan, Sakib Mahmud Khan, Jean Michel Tine, Ayse Turhan Comert, Diamon Rice, Gurcan Comert, Dimitra Michalaka, Judith Mwakalonge, Reek Majumdar, Mashrur Chowdhury
ICARUS-Q: Integrated Control and Readout Unit for Scalable Quantum Processors
Kun Hee Park, Yung Szen Yap, Yuanzheng Paul Tan, Christoph Hufnagel, Long Hoang Nguyen, Karn Hwa Lau, Patrick Bore, Stavros Efthymiou, Stefano Carrazza, Rangga P. Budoyo, Rainer Dumke
Illinois Express Quantum Network for Distributing and Controlling Entanglement on Metro-Scale
Wenji Wu, Joaquin Chung, Gregory Kanter, Nikolai Lauk, Raju Valivarthi, Russell R. Ceballos, Cristin Pena, Neil Sinclair, Jordan M. Thomas, Ely M. Eastman, Si Xie, Rajkumar Kettimuthu, Prem Kumar, Panagiotis Spentzouris, Maria Spiropulu
Image-enhanced single-pixel imaging using fractional calculus
Xiao Zhang, Rui Li, Jiaying Hong, Xi Zhou, Nian Xin, Qin Li
Importance of Kernel Bandwidth in Quantum Machine Learning
Shaydulin R, Wild S.
Improving PV Resilience by Dynamic Reconfiguration in Distribution Grids: Problem Complexity and Computation Requirements
Filipe F. C. Silva, Pedro M. S. Carvalho, Luís A. F. M. Ferreira
Improving quantum linear system solvers via a gradient descent perspective
Sander Gribling, Iordanis Kerenidis, Dániel Szilágyi
Information-Theoretic Limits of Quantum Learning via Data Compression
Armando Angrisani, Brian Coyle, Elham Kashefi
Intrinsic mechanisms for drive-dependent Purcell decay in superconducting quantum circuits
Ryo Hanai, Alexander McDonald, Aashish Clerk
Introduction to the Special Issue on Design Automation for Quantum Computing
Robert Wille, Rolf Drechsler
Investigation of Quantum Support Vector Machine for Classification in NISQ era
Anekait Kariya, Bikash K. Behera
IQWOA: Improved Quantum Whale Optimization Algorithm for Clustering in Industrial Wireless Sensor Network
Yang Liu, Chaoqun Li, Yao Zhang, Jing Xiao, Jie Zhou