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Towards understanding the power of quantum kernels in the NISQ era
v1v2 (latest)

Towards understanding the power of quantum kernels in the NISQ era

Quantum (Quantum), 2021
31 March 2021
Xinbiao Wang
Yuxuan Du
Yong Luo
Dacheng Tao
ArXiv (abs)PDFHTMLGithub

Papers citing "Towards understanding the power of quantum kernels in the NISQ era"

38 / 38 papers shown
A Primer on Quantum Machine Learning
A Primer on Quantum Machine Learning
Su Yeon Chang
M. Cerezo
245
7
0
20 Nov 2025
Robust and Efficient Quantum Reservoir Computing with Discrete Time Crystal
Robust and Efficient Quantum Reservoir Computing with Discrete Time Crystal
Da Zhang
Xin Li
Yibin Guo
Haifeng Yu
Yirong Jin
Zhang-Qi Yin
109
0
0
21 Aug 2025
QuProFS: An Evolutionary Training-free Approach to Efficient Quantum Feature Map Search
QuProFS: An Evolutionary Training-free Approach to Efficient Quantum Feature Map Search
Yaswitha Gujju
Romain Harang
Chao Li
Tetsuo Shibuya
Qibin Zhao
174
2
0
09 Aug 2025
Towards Quantum Operator-Valued Kernels
Towards Quantum Operator-Valued Kernels
Hachem Kadri
Joachim Tomasi
Yuka Hashimoto
S. Anthoine
314
0
0
04 Jun 2025
Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications
Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications
Srikanth Thudumu
Jason Fisher
Hung Du
611
3
0
30 May 2025
Predictive Performance of Deep Quantum Data Re-uploading Models
Predictive Performance of Deep Quantum Data Re-uploading Models
Xin Wang
Han-Xiao Tao
Re-Bing Wu
200
3
0
24 May 2025
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
Junghoon Justin Park
Jiook Cha
Samuel Yen-Chi Chen
Huan-Hsin Tseng
Shinjae Yoo
521
5
0
13 May 2025
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A SurveyQuantum Machine Intelligence (QMI), 2024
Bikram Khanal
Pablo Rivas
Arun Sanjel
Korn Sooksatra
Ernesto Quevedo
Alejandro Rodriguez
311
15
0
11 Sep 2024
Separable Power of Classical and Quantum Learning Protocols Through the
  Lens of No-Free-Lunch Theorem
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem
Xinbiao Wang
Yuxuan Du
Kecheng Liu
Yong Luo
Bo Du
Dacheng Tao
194
3
0
12 May 2024
A Modified Depolarization Approach for Efficient Quantum Machine
  Learning
A Modified Depolarization Approach for Efficient Quantum Machine Learning
Bikram Khanal
Pablo Rivas
328
8
0
10 Apr 2024
A comprehensive review of Quantum Machine Learning: from NISQ to Fault
  Tolerance
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
Yunfei Wang
Sergii Strelchuk
345
99
0
21 Jan 2024
Neural auto-designer for enhanced quantum kernels
Neural auto-designer for enhanced quantum kernelsInternational Conference on Learning Representations (ICLR), 2024
Cong Lei
Yuxuan Du
Peng Mi
Jun-chen Yu
Tongliang Liu
223
11
0
20 Jan 2024
Élivágar: Efficient Quantum Circuit Search for Classification
Élivágar: Efficient Quantum Circuit Search for ClassificationInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024
Sashwat Anagolum
Narges Alavisamani
Poulami Das
Moinuddin K. Qureshi
Eric Kessler
Yunong Shi
255
32
0
17 Jan 2024
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
390
12
0
15 Nov 2023
Coreset selection can accelerate quantum machine learning models with
  provable generalization
Coreset selection can accelerate quantum machine learning models with provable generalizationPhysical Review Applied (Phys. Rev. Appl.), 2023
Yiming Huang
Huiyuan Wang
Yuxuan Du
Xiao Yuan
311
6
0
19 Sep 2023
QKSAN: A Quantum Kernel Self-Attention Network
QKSAN: A Quantum Kernel Self-Attention NetworkIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Ren-Xin Zhao
Jinjing Shi
Xuelong Li
336
61
0
25 Aug 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 ApplicationsPhysical Review Applied (Phys. Rev. Appl.), 2023
Yaswitha Gujju
A. Matsuo
Raymond H. Putra
547
60
0
03 Jul 2023
Transition Role of Entangled Data in Quantum Machine Learning
Transition Role of Entangled Data in Quantum Machine LearningNature Communications (Nat. Commun.), 2023
Xinbiao Wang
Yuxuan Du
Zhuozhuo Tu
Yong Luo
Xiao Yuan
Dacheng Tao
320
22
0
06 Jun 2023
Quantum Gaussian Process Regression for Bayesian Optimization
Quantum Gaussian Process Regression for Bayesian OptimizationQuantum Machine Intelligence (QMI), 2023
Frederic Rapp
Marco Roth
GP
310
31
0
25 Apr 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class
  Classification
Problem-Dependent Power of Quantum Neural Networks on Multi-Class ClassificationPhysical Review Letters (PRL), 2022
Yuxuan Du
Jianlong Wu
Dacheng Tao
Min-hsiu Hsieh
506
36
0
29 Dec 2022
Shot-frugal and Robust quantum kernel classifiers
Shot-frugal and Robust quantum kernel classifiers
Abhay Shastry
Abhijith Jayakumar
Apoorva D. Patel
Chiranjib Bhattacharyya
355
1
0
13 Oct 2022
A kernel-based quantum random forest for improved classification
A kernel-based quantum random forest for improved classificationQuantum Machine Intelligence (QMI), 2022
Maiyuren Srikumar
C. Hill
Lloyd C. L. Hollenberg
358
28
0
05 Oct 2022
Exponential concentration in quantum kernel methods
Exponential concentration in quantum kernel methodsNature Communications (Nat Commun), 2022
Supanut Thanasilp
Samson Wang
M. Cerezo
Zoë Holmes
278
152
0
23 Aug 2022
Quantum Advantage Seeker with Kernels (QuASK): a software framework to
  speed up the research in quantum machine learning
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learningQuantum Machine Intelligence (QMI), 2022
Francesco Di Marcantonio
Massimiliano Incudini
Davide Tezza
Michele Grossi
388
20
0
30 Jun 2022
Bandwidth Enables Generalization in Quantum Kernel Models
Bandwidth Enables Generalization in Quantum Kernel Models
Abdulkadir Canatar
E. Peters
Cengiz Pehlevan
Stefan M. Wild
Ruslan Shaydulin
279
52
0
14 Jun 2022
Quantum Neural Network Classifiers: A Tutorial
Quantum Neural Network Classifiers: A TutorialSciPost Physics Lecture Notes (SPLN), 2022
Weikang Li
Zhide Lu
D. Deng
192
46
0
06 Jun 2022
Power of Quantum Generative Learning
Power of Quantum Generative Learning
Yuxuan Du
Zhuozhuo Tu
Bujiao Wu
Xiao Yuan
Dacheng Tao
AI4CE
330
10
0
10 May 2022
Efficient and practical quantum compiler towards multi-qubit systems
  with deep reinforcement learning
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learningQuantum Science and Technology (QST), 2022
Qiuhao Chen
Yuxuan Du
Qi Zhao
Yuliang Jiao
Xiliang Lu
Xingyao Wu
248
19
0
14 Apr 2022
Quantum kernels for real-world predictions based on electronic health
  records
Quantum kernels for real-world predictions based on electronic health records
Z. Krunic
Frederik F. Flöther
G. Seegan
Nathan Earnest-Noble
Omar Shehab
272
49
0
12 Dec 2021
Generalization in quantum machine learning from few training data
Generalization in quantum machine learning from few training dataNature Communications (Nat Commun), 2021
Matthias C. Caro
Hsin-Yuan Huang
M. Cerezo
Kunal Sharma
A. Sornborger
L. Cincio
Patrick J. Coles
411
504
0
09 Nov 2021
Quantum Machine Learning for Finance
Quantum Machine Learning for Finance
Marco Pistoia
Syed Farhan Ahmad
Akshay Ajagekar
A. Buts
Shouvanik Chakrabarti
...
Pierre Minssen
Pradeep Niroula
Arthur G. Rattew
Yue Sun
Romina Yalovetzky
AIFin
235
23
0
09 Sep 2021
Recent advances for quantum classifiers
Recent advances for quantum classifiersScience China Physics Mechanics and Astronomy (SCPMA), 2021
Weikang Li
D. Deng
AAML
341
104
0
30 Aug 2021
Fock State-enhanced Expressivity of Quantum Machine Learning Models
Fock State-enhanced Expressivity of Quantum Machine Learning Models
Beng Yee Gan
Daniel Leykam
D. Angelakis
262
37
0
12 Jul 2021
Accelerating variational quantum algorithms with multiple quantum
  processors
Accelerating variational quantum algorithms with multiple quantum processors
Yuxuan Du
Yan Qian
Dacheng Tao
177
8
0
24 Jun 2021
The dilemma of quantum neural networks
The dilemma of quantum neural networksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Yan Qian
Xinbiao Wang
Yuxuan Du
Xingyao Wu
Dacheng Tao
259
42
0
09 Jun 2021
The Inductive Bias of Quantum Kernels
The Inductive Bias of Quantum KernelsNeural Information Processing Systems (NeurIPS), 2021
Jonas M. Kubler
Simon Buchholz
Bernhard Schölkopf
358
151
0
07 Jun 2021
Training Quantum Embedding Kernels on Near-Term Quantum Computers
Training Quantum Embedding Kernels on Near-Term Quantum Computers
T. Hubregtsen
David Wierichs
Elies Gil-Fuster
Peter-Jan H. S. Derks
Paul K. Faehrmann
Johannes Jakob Meyer
220
142
0
05 May 2021
Quantum circuit architecture search for variational quantum algorithms
Quantum circuit architecture search for variational quantum algorithmsnpj Quantum Information (npjQI), 2020
Yuxuan Du
Tao Huang
Shan You
Min-hsiu Hsieh
Dacheng Tao
537
218
0
20 Oct 2020
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