Vincent E. Elfving

According to our database, Vincent E. Elfving authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Quantum extremal learning.

Savvas Varsamopoulos, Evan Philip, Vincent E. Elfving, Herman W. T. van Vlijmen, Sairam Menon, Ann Vos, Natalia Dyubankova, Bert Torfs, Anthony Rowe

Quantum Mach. Intell., December, 2024

Geometric quantum machine learning of BQP^A protocols and latent graph classifiers.

Chukwudubem Umeano, Vincent E. Elfving, Oleksandr Kyriienko

CoRR, 2024

Qadence: a differentiable interface for digital-analog programs.

Dominik Seitz, Niklas Heim, João P. Moutinho, Roland Guichard, Vytautas Abramavicius, Aleksander Wennersteen, Gert-Jan Both, Anton Quelle, Caroline de Groot, Gergana V. Velikova, Vincent E. Elfving, Mario Dagrada

CoRR, 2024

2023

Let Quantum Neural Networks Choose Their Own Frequencies.

Ben Jaderberg, Antonio A. Gentile, Youssef Achari Berrada, Elvira Shishenina, Vincent E. Elfving

CoRR, 2023

What can we learn from quantum convolutional neural networks?

Chukwudubem Umeano, Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko

CoRR, 2023

Harmonic Neural Networks.

Atiyo Ghosh, Antonio Andrea Gentile, Mario Dagrada, Chul Lee, Seong-Hyok Sean Kim, Hyukgeun Cha, Yunjun Choi, Dongho Kim, Jeong-Il Kye, Vincent Emanuel Elfving

Proceedings of the International Conference on Machine Learning, 2023

2022

Harmonic (Quantum) Neural Networks.

Atiyo Ghosh, Antonio A. Gentile, Mario Dagrada, Chul Lee, Seong-Hyok Sean Kim, Hyukgeun Cha, Yunjun Choi, Brad Kim, Jeong-Il Kye, Vincent E. Elfving

CoRR, 2022

Financial Risk Management on a Neutral Atom Quantum Processor.

Lucas Leclerc, Luis Ortiz-Guitierrez, Sebastián Grijalva, Boris Albrecht, Julia R. K. Cline, Vincent E. Elfving, Adrien Signoles, Loïc Henriet, Gianni Del Bimbo, Usman Ayub Sheikh, Maitree Shah, Luc Andrea, Faysal Ishtiaq, Andoni Duarte, Samuel Mugel, Irene Caceres, Michel Kurek, Roman Orus, Achraf Seddik, Oumaima Hammammi, Hacene Isselnane, Didier M'tamon

CoRR, 2022

Integral Transforms in a Physics-Informed (Quantum) Neural Network setting: Applications & Use-Cases.

Niraj Kumar, Evan Philip, Vincent E. Elfving

CoRR, 2022

2021

Quantum Model-Discovery.

Niklas Heim, Atiyo Ghosh, Oleksandr Kyriienko, Vincent E. Elfving

CoRR, 2021

2020

Quantum Approximate Optimization for Hard Problems in Linear Algebra.

Ajinkya Borle, Vincent E. Elfving, Samuel J. Lomonaco

CoRR, 2020