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Parameterized quantum circuits as machine learning models

Parameterized quantum circuits as machine learning models

18 June 2019
Marcello Benedetti
Erika Lloyd
Stefan H. Sack
Mattia Fiorentini
ArXivPDFHTML

Papers citing "Parameterized quantum circuits as machine learning models"

50 / 249 papers shown
Title
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
A Survey of Classical And Quantum Sequence Models
A Survey of Classical And Quantum Sequence Models
I-Chi Chen
Harshdeep Singh
V. L. Anukruti
Brian Quanz
Kavitha Yogaraj
11
0
0
15 Dec 2023
Privacy-preserving quantum federated learning via gradient hiding
Privacy-preserving quantum federated learning via gradient hiding
Changhao Li
Niraj Kumar
Zhixin Song
Shouvanik Chakrabarti
Marco Pistoia
FedML
15
19
0
07 Dec 2023
Clustering by Contour coreset and variational quantum eigensolver
Clustering by Contour coreset and variational quantum eigensolver
Canaan Yung
Muhammad Usman
19
1
0
06 Dec 2023
Toward Automated Quantum Variational Machine Learning
Toward Automated Quantum Variational Machine Learning
Omer Subasi
23
2
0
04 Dec 2023
Training robust and generalizable quantum models
Training robust and generalizable quantum models
Julian Berberich
Daniel Fink
Daniel Pranjić
C. Tutschku
Christian Holm
OOD
21
12
0
20 Nov 2023
Variational Quantum Eigensolver with Constraints (VQEC): Solving
  Constrained Optimization Problems via VQE
Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE
Thinh Viet Le
V. Kekatos
17
3
0
14 Nov 2023
From Conceptual Spaces to Quantum Concepts: Formalising and Learning
  Structured Conceptual Models
From Conceptual Spaces to Quantum Concepts: Formalising and Learning Structured Conceptual Models
Sean Tull
R. A. Shaikh
Sara Sabrina Zemljič
Stephen Clark
21
2
0
06 Nov 2023
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
26
5
0
31 Oct 2023
A general learning scheme for classical and quantum Ising machines
A general learning scheme for classical and quantum Ising machines
Ludwig Schmid
Enrico Zardini
D. Pastorello
AI4CE
24
1
0
27 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
Muhammad Shafique
24
25
0
16 Oct 2023
QonFusion -- Quantum Approaches to Gaussian Random Variables:
  Applications in Stable Diffusion and Brownian Motion
QonFusion -- Quantum Approaches to Gaussian Random Variables: Applications in Stable Diffusion and Brownian Motion
Shlomo Kashani
33
0
0
28 Sep 2023
QUILT: Effective Multi-Class Classification on Quantum Computers Using
  an Ensemble of Diverse Quantum Classifiers
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers
Daniel Silver
Tirthak Patel
Devesh Tiwari
4
24
0
26 Sep 2023
On the expressivity of embedding quantum kernels
On the expressivity of embedding quantum kernels
Elies Gil-Fuster
Jens Eisert
Vedran Dunjko
24
16
0
25 Sep 2023
Provable advantages of kernel-based quantum learners and quantum
  preprocessing based on Grover's algorithm
Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm
Till Muser
Elias Zapusek
Vasilis Belis
Florentin Reiter
28
5
0
25 Sep 2023
Expressive variational quantum circuits provide inherent privacy in
  federated learning
Expressive variational quantum circuits provide inherent privacy in federated learning
Niraj Kumar
Jamie Heredge
Changhao Li
Shaltiel Eloul
Shree Hari Sureshbabu
Marco Pistoia
FedML
54
8
0
22 Sep 2023
Potential and limitations of random Fourier features for dequantizing quantum machine learning
Potential and limitations of random Fourier features for dequantizing quantum machine learning
R. Sweke
Erik Recio
Sofiene Jerbi
Elies Gil-Fuster
Bryce Fuller
Jens Eisert
Johannes Jakob Meyer
22
12
0
20 Sep 2023
Coreset selection can accelerate quantum machine learning models with
  provable generalization
Coreset selection can accelerate quantum machine learning models with provable generalization
Yiming Huang
Huiyuan Wang
Yuxuan Du
Xiao Yuan
43
1
0
19 Sep 2023
Let Quantum Neural Networks Choose Their Own Frequencies
Let Quantum Neural Networks Choose Their Own Frequencies
Ben Jaderberg
Antonio A. Gentile
Youssef Achari Berrada
Elvira Shishenina
V. Elfving
17
16
0
06 Sep 2023
A Post-Training Approach for Mitigating Overfitting in Quantum
  Convolutional Neural Networks
A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks
Aakash Ravindra Shinde
Charu Jain
A. Kalev
25
0
0
04 Sep 2023
What can we learn from quantum convolutional neural networks?
What can we learn from quantum convolutional neural networks?
Chukwudubem Umeano
Annie E. Paine
V. Elfving
Oleksandr Kyriienko
23
12
0
31 Aug 2023
Development of a Novel Quantum Pre-processing Filter to Improve Image
  Classification Accuracy of Neural Network Models
Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models
Farina Riaz
Shahab A. Abdulla
Hajime Suzuki
Srinjoy Ganguly
R. Deo
Susan Hopkins
22
1
0
22 Aug 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
34
1
0
16 Jul 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
30
45
0
23 Jun 2023
Splitting and Parallelizing of Quantum Convolutional Neural Networks for
  Learning Translationally Symmetric Data
Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data
Koki Chinzei
Q. Tran
Kazunori Maruyama
H. Oshima
S. Sato
28
10
0
12 Jun 2023
Weight Re-Mapping for Variational Quantum Algorithms
Weight Re-Mapping for Variational Quantum Algorithms
Michael Kölle
Alessandro Giovagnoli
Jonas Stein
M. Mansky
Julian Hager
Tobias Rohe
Robert Muller
Claudia Linnhoff-Popien
14
4
0
09 Jun 2023
Reduction of finite sampling noise in quantum neural networks
Reduction of finite sampling noise in quantum neural networks
D. Kreplin
Marco Roth
26
16
0
02 Jun 2023
Shadows of quantum machine learning
Shadows of quantum machine learning
Sofiene Jerbi
Casper Gyurik
Simon Marshall
Riccardo Molteni
Vedran Dunjko
16
41
0
31 May 2023
Improved Financial Forecasting via Quantum Machine Learning
Improved Financial Forecasting via Quantum Machine Learning
Sohum Thakkar
Skander Kazdaghli
Natansh Mathur
Iordanis Kerenidis
A. J. Ferreira-Martins
Samurai Brito QC Ware Corp
AIFin
17
20
0
31 May 2023
On quantum backpropagation, information reuse, and cheating measurement
  collapse
On quantum backpropagation, information reuse, and cheating measurement collapse
Amira Abbas
Robbie King
Hsin-Yuan Huang
W. Huggins
R. Movassagh
D. Gilboa
Jarrod R. McClean
37
39
0
22 May 2023
Classical-to-Quantum Transfer Learning Facilitates Machine Learning with Variational Quantum Circuit
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Min-hsiu Hsieh
Hector Zenil
Jesper Tegner
24
0
0
18 May 2023
Biomarker Discovery with Quantum Neural Networks: A Case-study in
  CTLA4-Activation Pathways
Biomarker Discovery with Quantum Neural Networks: A Case-study in CTLA4-Activation Pathways
Nam D. Nguyen
16
13
0
15 May 2023
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement
  Learning
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning
Nico Meyer
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
M. Hartmann
31
10
0
26 Apr 2023
Quantum Imitation Learning
Quantum Imitation Learning
Zhihao Cheng
Kaining Zhang
Li Shen
Dacheng Tao
16
1
0
04 Apr 2023
A Framework for Demonstrating Practical Quantum Advantage: Racing
  Quantum against Classical Generative Models
A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models
Mohamed Hibat-Allah
M. Mauri
Juan Carrasquilla
A. Perdomo-Ortiz
22
10
0
27 Mar 2023
MAQA: A Quantum Framework for Supervised Learning
MAQA: A Quantum Framework for Supervised Learning
A. Macaluso
Matthias Klusch
Stefano Lodi
Claudio Sartori
14
6
0
20 Mar 2023
Hybrid quantum-classical convolutional neural network for phytoplankton
  classification
Hybrid quantum-classical convolutional neural network for phytoplankton classification
S. Shi
Zhimin Wang
R. Shang
Yanan Li
Jiaxin Li
Guoqiang Zhong
Yongjian Gu
19
6
0
07 Mar 2023
Parallel Hybrid Networks: an interplay between quantum and classical
  neural networks
Parallel Hybrid Networks: an interplay between quantum and classical neural networks
Mohammad Kordzanganeh
Daria Kosichkina
A. Melnikov
GNN
37
22
0
06 Mar 2023
Quantum algorithms applied to satellite mission planning for Earth
  observation
Quantum algorithms applied to satellite mission planning for Earth observation
S. Rainjonneau
Igor Tokarev
S. Iudin
Saaketh Rayaprolu
Karan Pinto
...
Miras Koblan
Egor Barashov
Mohammad Kordzanganeh
M. Pflitsch
A. Melnikov
22
37
0
14 Feb 2023
Effects of noise on the overparametrization of quantum neural networks
Effects of noise on the overparametrization of quantum neural networks
Diego García-Martín
Martín Larocca
M. Cerezo
25
17
0
10 Feb 2023
Formalising and Learning a Quantum Model of Concepts
Formalising and Learning a Quantum Model of Concepts
Sean Tull
R. A. Shaikh
Sara Sabrina Zemljič
Stephen Clark
14
2
0
07 Feb 2023
Quantum Recurrent Neural Networks for Sequential Learning
Quantum Recurrent Neural Networks for Sequential Learning
Yanan Li
Zhimin Wang
Rongbing Han
S. Shi
Jiaxin Li
R. Shang
Haiyong Zheng
Guoqiang Zhong
Yongjian Gu
21
27
0
07 Feb 2023
A supplemental investigation of non-linearity in quantum generative
  models with respect to simulatability and optimization
A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization
Kaitlin Gili
Rohan S. Kumar
Mykolas Sveistrys
C. Ballance
32
3
0
01 Feb 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Maolin Wang
Y. Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
43
19
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
36
22
0
29 Dec 2022
Improving Convergence for Quantum Variational Classifiers using Weight
  Re-Mapping
Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping
Michael Kölle
Alessandro Giovagnoli
Jonas Stein
M. Mansky
Julian Hager
Claudia Linnhoff-Popien
14
11
0
22 Dec 2022
Hybrid Quantum-Classical Generative Adversarial Network for High
  Resolution Image Generation
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation
S. Tsang
Maxwell T. West
S. Erfani
Muhammad Usman
GAN
13
32
0
22 Dec 2022
Quantum policy gradient algorithms
Quantum policy gradient algorithms
Sofiene Jerbi
A. Cornelissen
M. Ozols
Vedran Dunjko
29
11
0
19 Dec 2022
Quantum Policy Gradient Algorithm with Optimized Action Decoding
Quantum Policy Gradient Algorithm with Optimized Action Decoding
Nico Meyer
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
M. Hartmann
29
19
0
13 Dec 2022
Benchmarking simulated and physical quantum processing units using
  quantum and hybrid algorithms
Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms
Mohammad Kordzanganeh
M. Buchberger
Basil Kyriacou
Maxim Povolotskii
W. Fischer
Andrii Kurkin
Wilfrid Somogyi
Asel Sagingalieva
M. Pflitsch
A. Melnikov
35
38
0
28 Nov 2022
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