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Parameterized quantum circuits as machine learning models

Parameterized quantum circuits as machine learning models

Marcello Benedetti
Erika Lloyd
Stefan H. Sack
Mattia Fiorentini
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Papers citing "Parameterized quantum circuits as machine learning models"

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
88
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
71
61
0
20 Feb 2025
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks
Koki Chinzei
Shinichiro Yamano
Quoc-Hoan Tran
Yasuhiro Endo
H. Oshima
65
2
0
26 Jun 2024
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
Hoang-Quan Nguyen
Xuan-Bac Nguyen
Samuel Yen-Chi Chen
Hugh Churchill
Nicholas Borys
Samee U. Khan
Khoa Luu
DiffM
63
5
0
02 Jun 2024
Training-efficient density quantum machine learning
Training-efficient density quantum machine learning
Brian Coyle
El Amine Cherrat
Nishant Jain
Natansh Mathur
Snehal Raj
Skander Kazdaghli
Iordanis Kerenidis
51
5
0
30 May 2024
Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations
Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations
Yin Mo
Lei Zhang
Yuanyi Chen
Yingjian Liu
Tengxiang Lin
Xin Wang
53
3
0
06 Mar 2024
Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
José Daniel Viqueira
Daniel Faílde
M. M. Juane
Andrés Gómez
David Mera
43
5
0
31 Oct 2023
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
Kamila Zaman
Alberto Marchisio
Muhammad Abdullah Hanif
Mohamed Bennai
38
26
0
16 Oct 2023
Computing the gradients with respect to all parameters of a quantum neural network using a single circuit
Computing the gradients with respect to all parameters of a quantum neural network using a single circuit
Guanglei He
44
1
0
16 Jul 2023
Input Redundancy for Parameterized Quantum Circuits
Input Redundancy for Parameterized Quantum Circuits
Javier Gil Vidal
D. Theis
22
73
0
31 Jan 2019
A Tutorial on Bayesian Optimization
A Tutorial on Bayesian Optimization
P. Frazier
GP
69
1,759
0
08 Jul 2018
Universal discriminative quantum neural networks
Universal discriminative quantum neural networks
Hongxiang Chen
Leonard Wossnig
Simone Severini
Hartmut Neven
Masoud Mohseni
28
80
0
22 May 2018
Towards Quantum Machine Learning with Tensor Networks
Towards Quantum Machine Learning with Tensor Networks
W. Huggins
P. Patil
K. B. Whaley
E. Stoudenmire
83
344
0
30 Mar 2018
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines
Song Cheng
J. Chen
Lei Wang
39
102
0
12 Dec 2017
Unsupervised Generative Modeling Using Matrix Product States
Unsupervised Generative Modeling Using Matrix Product States
Zhaoyu Han
Jun Wang
H. Fan
Lei Wang
Pan Zhang
80
269
0
06 Sep 2017

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