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Capacity and quantum geometry of parametrized quantum circuits

Capacity and quantum geometry of parametrized quantum circuits

2 February 2021
Tobias Haug
Kishor Bharti
M. S. Kim
ArXivPDFHTML

Papers citing "Capacity and quantum geometry of parametrized quantum circuits"

15 / 15 papers shown
Title
Quantum Complex-Valued Self-Attention Model
Quantum Complex-Valued Self-Attention Model
Fu Chen
Qinglin Zhao
Li Feng
Longfei Tang
Yangbin Lin
Haitao Huang
MQ
59
0
0
24 Mar 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
Kaining Zhang
Liu Liu
Min-hsiu Hsieh
Dacheng Tao
62
60
0
20 Feb 2025
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
Nikolaos Schetakis
Paolo Bonfini
Negin Alisoltani
Konstantinos Blazakis
Symeon I. Tsintzos
Alexis Askitopoulos
Davit Aghamalyan
Panagiotis Fafoutellis
Eleni I. Vlahogianni
46
0
0
22 Jan 2025
sQUlearn -- A Python Library for Quantum Machine Learning
sQUlearn -- A Python Library for Quantum Machine Learning
D. Kreplin
Moritz Willmann
Jan Schnabel
Frederic Rapp
Manuel Hagelüken
M. Roth
GP
35
10
0
15 Nov 2023
Understanding quantum machine learning also requires rethinking
  generalization
Understanding quantum machine learning also requires rethinking generalization
Elies Gil-Fuster
Jens Eisert
Carlos Bravo-Prieto
38
45
0
23 Jun 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
R. Heese
Thore Gerlach
Sascha Mucke
Sabine Muller
Matthias Jakobs
Nico Piatkowski
24
18
0
22 Jan 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class
  Classification
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
Yuxuan Du
Yibo Yang
Dacheng Tao
Min-hsiu Hsieh
41
23
0
29 Dec 2022
Stochastic noise can be helpful for variational quantum algorithms
Stochastic noise can be helpful for variational quantum algorithms
Junyu Liu
Frederik Wilde
A. A. Mele
Liang Jiang
Jens Eisert
Jens Eisert
24
34
0
13 Oct 2022
Beyond Ansätze: Learning Quantum Circuits as Unitary Operators
Beyond Ansätze: Learning Quantum Circuits as Unitary Operators
Bálint Máté
Bertrand Le Saux
Maxwell P. Henderson
15
2
0
01 Mar 2022
Theory of overparametrization in quantum neural networks
Theory of overparametrization in quantum neural networks
Martín Larocca
Nathan Ju
Diego García-Martín
Patrick J. Coles
M. Cerezo
43
188
0
23 Sep 2021
Recent advances for quantum classifiers
Recent advances for quantum classifiers
Weikang Li
D. Deng
AAML
39
84
0
30 Aug 2021
Quantum machine learning of large datasets using randomized measurements
Quantum machine learning of large datasets using randomized measurements
Tobias Haug
C. Self
Myungshik S. Kim
34
50
0
02 Aug 2021
Optimal training of variational quantum algorithms without barren
  plateaus
Optimal training of variational quantum algorithms without barren plateaus
Tobias Haug
M. S. Kim
43
35
0
29 Apr 2021
Entanglement Diagnostics for Efficient Quantum Computation
Entanglement Diagnostics for Efficient Quantum Computation
Joonho Kim
Yaron Oz
29
10
0
24 Feb 2021
Quantum circuit architecture search for variational quantum algorithms
Quantum circuit architecture search for variational quantum algorithms
Yuxuan Du
Tao Huang
Shan You
Min-hsiu Hsieh
Dacheng Tao
44
133
0
20 Oct 2020
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