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Unravelling physics beyond the standard model with classical and quantum
  anomaly detection
v1v2 (latest)

Unravelling physics beyond the standard model with classical and quantum anomaly detection

25 January 2023
Julian Schuhmacher
Laura Boggia
Vasilis Belis
E. Puljak
Michele Grossi
M. Pierini
S. Vallecorsa
F. Tacchino
Panagiotis Kl Barkoutsos
I. Tavernelli
ArXiv (abs)PDFHTML

Papers citing "Unravelling physics beyond the standard model with classical and quantum anomaly detection"

25 / 25 papers shown
Title
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches
Ivan Oleksiyuk
Svyatoslav Voloshynovskiy
Tobias Golling
DiffM
75
0
0
06 Mar 2025
Quantum anomaly detection in the latent space of proton collision events
  at the LHC
Quantum anomaly detection in the latent space of proton collision events at the LHC
Kinga Anna Wo'zniak
Vasilis Belis
E. Puljak
Panagiotis Kl Barkoutsos
Günther Dissertori
Michele Grossi
M. Pierini
F. Reiter
I. Tavernelli
S. Vallecorsa
53
38
0
25 Jan 2023
Numerical evidence against advantage with quantum fidelity kernels on
  classical data
Numerical evidence against advantage with quantum fidelity kernels on classical data
L. Slattery
Ruslan Shaydulin
Shouvanik Chakrabarti
Marco Pistoia
Sami Khairy
Stefan M. Wild
34
18
0
29 Nov 2022
Quantum-probabilistic Hamiltonian learning for generative modelling &
  anomaly detection
Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection
Jack Y. Araz
M. Spannowsky
49
13
0
07 Nov 2022
Quantum Advantage Seeker with Kernels (QuASK): a software framework to
  speed up the research in quantum machine learning
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning
Francesco Di Marcantonio
Massimiliano Incudini
Davide Tezza
Michele Grossi
110
15
0
30 Jun 2022
Quantum advantage in learning from experiments
Quantum advantage in learning from experiments
Hsin-Yuan Huang
Michael Broughton
Jordan S. Cotler
Sitan Chen
Jingkai Li
...
Hartmut Neven
Ryan Babbush
R. Kueng
J. Preskill
Jarrod R. McClean
55
483
0
01 Dec 2021
Importance of Kernel Bandwidth in Quantum Machine Learning
Importance of Kernel Bandwidth in Quantum Machine Learning
Ruslan Shaydulin
Stefan M. Wild
71
39
0
09 Nov 2021
The Inductive Bias of Quantum Kernels
The Inductive Bias of Quantum Kernels
Jonas M. Kubler
Simon Buchholz
Bernhard Schölkopf
54
122
0
07 Jun 2021
The Dark Machines Anomaly Score Challenge: Benchmark Data and Model
  Independent Event Classification for the Large Hadron Collider
The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider
T. Aarrestad
M. Beekveld
M. Bona
A. Boveia
S. Caron
...
M. White
E. Wulff
E. Wallin
K. Wozniak
Z. Zhang
74
83
0
28 May 2021
Training Quantum Embedding Kernels on Near-Term Quantum Computers
Training Quantum Embedding Kernels on Near-Term Quantum Computers
T. Hubregtsen
David Wierichs
Elies Gil-Fuster
Peter-Jan H. S. Derks
Paul K. Faehrmann
Johannes Jakob Meyer
71
101
0
05 May 2021
Higgs analysis with quantum classifiers
Higgs analysis with quantum classifiers
Vasilis Belis
Samuel González-Castillo
C. Reissel
S. Vallecorsa
E. Combarro
Günther Dissertori
F. Reiter
30
44
0
15 Apr 2021
Hybrid Quantum-Classical Graph Convolutional Network
Hybrid Quantum-Classical Graph Convolutional Network
Samuel Yen-Chi Chen
T. Wei
Chao Zhang
Haiwang Yu
Shinjae Yoo
GNN
53
36
0
15 Jan 2021
Quantum Convolutional Neural Networks for High Energy Physics Data
  Analysis
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis
Samuel Yen-Chi Chen
T. Wei
Chao Zhang
Haiwang Yu
Shinjae Yoo
92
114
0
22 Dec 2020
Power of data in quantum machine learning
Power of data in quantum machine learning
Hsin-Yuan Huang
Michael Broughton
Masoud Mohseni
Ryan Babbush
Sergio Boixo
Hartmut Neven
Jarrod R. McClean
90
651
0
03 Nov 2020
A rigorous and robust quantum speed-up in supervised machine learning
A rigorous and robust quantum speed-up in supervised machine learning
Yunchao Liu
Srinivasan Arunachalam
K. Temme
87
542
0
05 Oct 2020
Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering
  the top quark
Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark
Oliver Knapp
Guenther Dissertori
O. Cerri
Thong Q. Nguyen
J. Vlimant
M. Pierini
47
67
0
04 May 2020
Simulation Assisted Likelihood-free Anomaly Detection
Simulation Assisted Likelihood-free Anomaly Detection
Anders Andreassen
Benjamin Nachman
David Shih
50
112
0
14 Jan 2020
Anomaly Detection with Density Estimation
Anomaly Detection with Density Estimation
Benjamin Nachman
David Shih
51
219
0
14 Jan 2020
Variational Autoencoders for New Physics Mining at the Large Hadron
  Collider
Variational Autoencoders for New Physics Mining at the Large Hadron Collider
O. Cerri
Thong Q. Nguyen
M. Pierini
M. Spiropulu
J. Vlimant
DRL
41
144
0
26 Nov 2018
Novelty Detection Meets Collider Physics
Novelty Detection Meets Collider Physics
Jan Hajer
Ying-Ying Li
Tao Liu
He Wang
85
103
0
26 Jul 2018
Machine Learning in High Energy Physics Community White Paper
Machine Learning in High Energy Physics Community White Paper
K. Albertsson
Piero Altoe
D. Anderson
John R. Anderson
Michael Andrews
...
Michael Williams
Wenjing Wu
Stefan Wunsch
Kun Yang
O. Zapata
AI4CE
45
221
0
08 Jul 2018
Supervised learning with quantum enhanced feature spaces
Supervised learning with quantum enhanced feature spaces
Vojtěch Havlíček
A. Córcoles
K. Temme
A. Harrow
A. Kandala
J. Chow
J. Gambetta
84
1,831
0
30 Apr 2018
Quantum Machine Learning
Quantum Machine Learning
Jacob Biamonte
P. Wittek
Nicola Pancotti
Patrick Rebentrost
N. Wiebe
S. Lloyd
60
2,022
0
28 Nov 2016
Quantum support vector machine for big data classification
Quantum support vector machine for big data classification
Patrick Rebentrost
Masoud Mohseni
S. Lloyd
90
602
0
01 Jul 2013
Introduction to Machine Learning: Class Notes 67577
Introduction to Machine Learning: Class Notes 67577
Amnon Shashua
50
52
0
23 Apr 2009
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