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Quantum machine learning of large datasets using randomized measurements

Quantum machine learning of large datasets using randomized measurements

2 August 2021
Tobias Haug
C. Self
Myungshik S. Kim
ArXivPDFHTML

Papers citing "Quantum machine learning of large datasets using randomized measurements"

21 / 21 papers shown
Title
QuXAI: Explainers for Hybrid Quantum Machine Learning Models
QuXAI: Explainers for Hybrid Quantum Machine Learning Models
Saikat Barua
Mostafizur Rahman
Shehenaz Khaled
Md Jafor Sadek
Rafiul Islam
Shahnewaz Siddique
23
0
0
15 May 2025
Predicting fermionic densities using a Projected Quantum Kernel method
Predicting fermionic densities using a Projected Quantum Kernel method
Francesco Perciavalle
Francesco Plastina
Michele Pisarra
Nicola Lo Gullo
32
0
0
18 Apr 2025
Automating quantum feature map design via large language models
Automating quantum feature map design via large language models
Kenya Sakka
K. Mitarai
Keisuke Fujii
33
2
0
10 Apr 2025
On the similarity of bandwidth-tuned quantum kernels and classical kernels
On the similarity of bandwidth-tuned quantum kernels and classical kernels
Roberto Flórez Ablan
M. Roth
Jan Schnabel
60
2
0
07 Mar 2025
Quantum Kernel Methods under Scrutiny: A Benchmarking Study
Quantum Kernel Methods under Scrutiny: A Benchmarking Study
Jan Schnabel
M. Roth
64
3
0
06 Sep 2024
Reinforcement learning-based architecture search for quantum machine
  learning
Reinforcement learning-based architecture search for quantum machine learning
Frederic Rapp
D. Kreplin
Marco F. Huber
M. Roth
AI4CE
34
5
0
04 Jun 2024
A Modified Depolarization Approach for Efficient Quantum Machine
  Learning
A Modified Depolarization Approach for Efficient Quantum Machine Learning
Bikram Khanal
Pablo Rivas
36
3
0
10 Apr 2024
Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows
Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows
Hong-Ye Hu
Andi Gu
Swarnadeep Majumder
Hang Ren
Yipei Zhang
Derek S. Wang
Yi-Zhuang You
Zlatko K. Minev
S. Yelin
Alireza Seif
29
24
0
27 Feb 2024
Neural auto-designer for enhanced quantum kernels
Neural auto-designer for enhanced quantum kernels
Cong Lei
Yuxuan Du
Peng Mi
Jun-chen Yu
Tongliang Liu
15
5
0
20 Jan 2024
Élivágar: Efficient Quantum Circuit Search for Classification
Élivágar: Efficient Quantum Circuit Search for Classification
Sashwat Anagolum
Narges Alavisamani
Poulami Das
Moinuddin K. Qureshi
Eric Kessler
Yunong Shi
36
14
0
17 Jan 2024
Distributed Quantum Neural Networks via Partitioned Features Encoding
Distributed Quantum Neural Networks via Partitioned Features Encoding
Yoshiaki Kawase
25
5
0
21 Dec 2023
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
30
9
0
15 Nov 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of
  Supervised and Unsupervised Techniques for Real-World Applications
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications
Yaswitha Gujju
A. Matsuo
Raymond H. Putra
20
23
0
03 Jul 2023
Shadows of quantum machine learning
Shadows of quantum machine learning
Sofiene Jerbi
Casper Gyurik
Simon Marshall
Riccardo Molteni
Vedran Dunjko
18
41
0
31 May 2023
Quantum Text Classifier -- A Synchronistic Approach Towards Classical
  and Quantum Machine Learning
Quantum Text Classifier -- A Synchronistic Approach Towards Classical and Quantum Machine Learning
P. Santi
K. Mishra
Sibabrata Mohanty
VLM
16
1
0
22 May 2023
Quantum Gaussian Process Regression for Bayesian Optimization
Quantum Gaussian Process Regression for Bayesian Optimization
Frederic Rapp
Marco Roth
GP
11
19
0
25 Apr 2023
An Invitation to Distributed Quantum Neural Networks
An Invitation to Distributed Quantum Neural Networks
Lirande Pira
C. Ferrie
32
16
0
14 Nov 2022
Universal expressiveness of variational quantum classifiers and quantum
  kernels for support vector machines
Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines
Jonas Jäger
R. Krems
19
66
0
12 Jul 2022
Compositional optimization of quantum circuits for quantum kernels of
  support vector machines
Compositional optimization of quantum circuits for quantum kernels of support vector machines
E. Torabian
R. Krems
11
10
0
25 Mar 2022
High Dimensional Quantum Machine Learning With Small Quantum Computers
High Dimensional Quantum Machine Learning With Small Quantum Computers
Simon Marshall
Casper Gyurik
Vedran Dunjko
16
28
0
25 Mar 2022
Quantum machine learning beyond kernel methods
Quantum machine learning beyond kernel methods
Sofiene Jerbi
Lukas J. Fiderer
Hendrik Poulsen Nautrup
Jonas M. Kubler
H. Briegel
Vedran Dunjko
14
160
0
25 Oct 2021
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