Quantum Machine Learning
248 papers for year 2022
Showing 133-144 of 248
On Physics-Informed Neural Networks for Quantum Computers
Stefano Markidis
On the Development of the Scientific Base of Quantum Technologies
A. I. Terekhov
On the practical usefulness of the Hardware Efficient Ansatz
Lorenzo Leone, Salvatore F. E. Oliviero, Lukasz Cincio, M. Cerezo
Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States
Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li
OpenQAOA -- An SDK for QAOA
Vishal Sharma, Nur Shahidee Bin Saharan, Shao-Hen Chiew, Ezequiel Ignacio Rodríguez Chiacchio, Leonardo Disilvestro, Tommaso Federico Demarie, Ewan Munro
Optimal storage capacity of quantum Hopfield neural networks
Lukas Bödeker, Eliana Fiorelli, Markus Müller
Optimization of the Memory Reset Rate of a Quantum Echo-State Network for Time Sequential Tasks
Riccardo Molteni, Claudio Destri, Enrico Prati
Optimizing the depth of variational quantum algorithms is strongly QCMA-hard to approximate
Lennart Bittel, Sevag Gharibian, Martin Kliesch
Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach
Daniel T. Chang
Parametric Synthesis of Computational Circuits for Complex Quantum Algorithms
Cesar Borisovich Pronin, Andrey Vladimirovich Ostroukh
Performance of surface codes in realistic quantum hardware
Antonio deMarti iOlius, Josu Etxezarreta Martinez, Patricio Fuentes, Pedro M. Crespo, Javier Garcia-Frias
Physical Computing: A Category Theoretic Perspective on Physical Computation and System Compositionality
Nima Dehghani, Gianluca Caterina