Quantum Machine Learning
4,009 papers
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 1273-1284 of 4,009
The Inverse Born Rule Fallacy: On the Informational Limits of Phase-Locked Amplitude Encoding
Sebastian Zając, Jacob L. Cybulski, Bartosz Dziewit, Tomasz Kulpa
The Magical Realism of Quantum Physics: A Postcolonial Reading
M. V. Kharkevich
The MQT Compiler Collection: A Blueprint for a Future-Proof Quantum-Classical Compilation Framework
Lukas Burgholzer, Daniel Haag, Yannick Stade, Damian Rovara, Patrick Hopf, Robert Wille
The Polymerase Chain Reaction Combined With Quantum Dot Fluorescence Analysis Method for Rapid Detection of Multiple Urinary Tract Infection Pathogens in Children.
Li C, Yin H, Yu P, Meng Q, Ye Q, Zhao F, Wang C
The possibility of fairly mitigating penalties in the quantum Prisoner’s Dilemma via classical noise channels
A. T. M. Makram-Allah, M. Y. Abd-Rabbou, N. Metwally
The Potential Blind Spot of the τ-Dependent Exchange Density Functional Approximations.
Leonov AV, Epifanov EY, Gerasimov IS, Losev TV, Medvedev MG
The power of entanglement in distributed quantum machine learning
Yerim Kim, Kiwmann Hwang, Hyukjoon Kwon, Yosep Kim
The pros and cons of using deep reinforcement learning or genetic algorithms to design control schemes for quantum state transfer on qubit chains
Sofía Perón Santana, Ariel Fiuri, Martín Domínguez, Omar Osenda
The Python Simulations of Chemistry Framework: 10 years of an open-source quantum chemistry project
Qiming Sun, Matthew R Hermes, Xiaojie Wu, Huanchen Zhai, Xing Zhang, Abdelrahman M. Ahmed, Juan José Aucar, Oliver J. Backhouse, Samragni Banerjee, Peng Bao, Nikolay A. Bogdanov, Kyle Bystrom, Frédéric Chapoton, Ning-Yuan Chen, Ivan Yu. Chernyshov, Helen S. Clifford, Sander Cohen-Janes, Zhi-Hao Cui, Nike Dattani, Linus Bjarne Dittmer, Sebastian Ehlert, Janus Juul Eriksen, Francesco A. Evangelista, Simon A. Ewing, Ardavan Farahvash, Kevin Focke, Yang Gao, Kevin E. Gasperich, Nathan Gillispie, Jonas Greiner, Matthew R. Hennefarth, Jan Hermann, Christopher Hillenbrand, Joonatan Huhtasalo, Basil Ibrahim, Bhavnesh Jangid, Alireza Nejati Javaremi, Andrew J. Jenkins, Yu Jin, Daniel S. King, Derk Pieter Kooi, Henrik R. Larsson, Bryan Tak Gwong Lau, Seunghoon Lee, Susi Lehtola, Chenghan Li, Hao Li, Jiachen Li, Rui Li, Shuhang Li, Aleksandr O. Lykhin, Nastasia Mauger, Pablo del Mazo-Sevillano, Jonathan Moussa, Kousuke Nakano, Verena A. Neufeld, Linqing Peng, Hung Q. Pham, Peter Pinski, Pavel Pokhilko, Zhichen Pu, Yubing Qian, Stephen Jon Quiton, Wanja T. Schulze, Thais R. Scott, Aniruddha Seal, James E. T. Smith, Kori E. Smyser, Terrence Stahl, Chong Sun, Kevin J. Sung, Egor Trushin, Shiv Upadhyay, Ethan A. Vo, Thijs Vogels, Shirong Wang, Tai Wang, Xiao Wang, Xubo Wang, Yuanheng Wang, Mark Williamson, Junjie Yang, Hong-Zhou Ye, Chia-Nan Yeh, Haiyang Yu, Jincheng Yu, Victor Wen-zhe Yu, Chaoqun Zhang, Dayou Zhang, Zijun Zhao, Zehao Zhou, Andrew J. Zhu, Tianyu Zhu, Timothy C. Berkelbach, Laura Gagliardi, Sandeep Sharma, Alexander Sokolov, Garnet Kin-Lic Chan
The Quantum Education Ecosystem: A Review of Global Initiatives, Methods, and Challenges
Sara Ayman Metwalli, Aryan Iliat, Steven Thomas, Suresh Nair, Zizwe A. Chase, Russell R. Ceballos
The Quantum Learning Menagerie (A survey on Quantum learning for Classical concepts)
Sagnik Chatterjee
The Quantum thinking approach in medical education: A change in perspective.
Surapaneni KM