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Quantum-probabilistic Hamiltonian learning for generative modelling &
  anomaly detection

Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection

7 November 2022
Jack Y. Araz
M. Spannowsky
ArXivPDFHTML

Papers citing "Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection"

7 / 7 papers shown
Title
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches
Ivan Oleksiyuk
S. Voloshynovskiy
Tobias Golling
DiffM
41
0
0
06 Mar 2025
MEMO-QCD: Quantum Density Estimation through Memetic Optimisation for
  Quantum Circuit Design
MEMO-QCD: Quantum Density Estimation through Memetic Optimisation for Quantum Circuit Design
Juan E. Ardila-García
Vladimir Vargas-Calderón
Fabio A. González
Diego H. Useche
Herbert Vinck-Posada
21
1
0
12 Jun 2024
Jet Discrimination with Quantum Complete Graph Neural Network
Jet Discrimination with Quantum Complete Graph Neural Network
Yi-An Chen
Kai-Feng Chen
GNN
21
1
0
08 Mar 2024
Machine Learning for Anomaly Detection in Particle Physics
Machine Learning for Anomaly Detection in Particle Physics
Vasilis Belis
Patrick Odagiu
Thea Klæboe Årrestad
30
40
0
20 Dec 2023
Generative Invertible Quantum Neural Networks
Generative Invertible Quantum Neural Networks
Armand Rousselot
M. Spannowsky
BDL
14
9
0
24 Feb 2023
Unravelling physics beyond the standard model with classical and quantum
  anomaly detection
Unravelling physics beyond the standard model with classical and quantum anomaly detection
Julian Schuhmacher
Laura Boggia
Vasilis Belis
E. Puljak
Michele Grossi
M. Pierini
S. Vallecorsa
F. Tacchino
Panagiotis Kl Barkoutsos
I. Tavernelli
6
26
0
25 Jan 2023
Style-based quantum generative adversarial networks for Monte Carlo
  events
Style-based quantum generative adversarial networks for Monte Carlo events
Carlos Bravo-Prieto
J. Baglio
M. Cè
A. Francis
D. Grabowska
Stefano Carrazza
GAN
39
40
0
13 Oct 2021
1