Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2108.01039
Cited By
Quantum machine learning of large datasets using randomized measurements
2 August 2021
Tobias Haug
C. Self
Myungshik S. Kim
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Quantum machine learning of large datasets using randomized measurements"
21 / 21 papers shown
Title
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
Francesco Perciavalle
Francesco Plastina
Michele Pisarra
Nicola Lo Gullo
32
0
0
18 Apr 2025
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
Roberto Flórez Ablan
M. Roth
Jan Schnabel
60
2
0
07 Mar 2025
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
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
Bikram Khanal
Pablo Rivas
36
3
0
10 Apr 2024
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
Cong Lei
Yuxuan Du
Peng Mi
Jun-chen Yu
Tongliang Liu
15
5
0
20 Jan 2024
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
Yoshiaki Kawase
25
5
0
21 Dec 2023
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
Yaswitha Gujju
A. Matsuo
Raymond H. Putra
20
23
0
03 Jul 2023
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
P. Santi
K. Mishra
Sibabrata Mohanty
VLM
16
1
0
22 May 2023
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
Lirande Pira
C. Ferrie
32
16
0
14 Nov 2022
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
E. Torabian
R. Krems
11
10
0
25 Mar 2022
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
Sofiene Jerbi
Lukas J. Fiderer
Hendrik Poulsen Nautrup
Jonas M. Kubler
H. Briegel
Vedran Dunjko
14
160
0
25 Oct 2021
1