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2101.02464
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Information-theoretic bounds on quantum advantage in machine learning
Physical Review Letters (PRL), 2021
7 January 2021
Hsin-Yuan Huang
R. Kueng
J. Preskill
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Papers citing
"Information-theoretic bounds on quantum advantage in machine learning"
50 / 82 papers shown
A Primer on Quantum Machine Learning
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Expressive and Scalable Quantum Fusion for Multimodal Learning
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Trong Nghia Hoang
Phi Le Nguyen
Hai L. Vu
Truong Cong Thang
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08 Oct 2025
Generative quantum advantage for classical and quantum problems
Hsin-Yuan Huang
Michael Broughton
Norhan Eassa
Hartmut Neven
Ryan Babbush
Jarrod R. McClean
260
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10 Sep 2025
Sample-optimal learning of quantum states using gentle measurements
Cristina Butucea
Jan Johannes
Henning Stein
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30 May 2025
Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications
Srikanth Thudumu
Jason Fisher
Hung Du
607
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30 May 2025
Predictive Performance of Deep Quantum Data Re-uploading Models
Xin Wang
Han-Xiao Tao
Re-Bing Wu
199
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24 May 2025
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation
Tao Liu
Rongjie Li
Chongyu Wang
Xuming He
219
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26 Dec 2024
Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images
Quantum Machine Intelligence (QMI), 2024
Daniel Basilewitsch
João F. Bravo
Christian Tutschku
Frederick Struckmeier
322
6
0
28 Nov 2024
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
IEEE Transactions on Quantum Engineering (IEEE Trans. Quantum Eng.), 2024
Bacui Li
T. Alpcan
Chandra Thapa
Udaya Parampalli
AAML
279
0
0
11 Nov 2024
On the sample complexity of purity and inner product estimation
Weiyuan Gong
Jonas Haferkamp
Qi Ye
Zhihan Zhang
309
25
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16 Oct 2024
Predicting quantum channels over general product distributions
Annual Conference Computational Learning Theory (COLT), 2024
Sitan Chen
Jaume de Dios Pont
Jun-Ting Hsieh
Hsin-Yuan Huang
Jane Lange
Jerry Li
206
7
0
05 Sep 2024
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits
Nature Communications (Nat. Commun.), 2024
Yuxuan Du
Min-hsiu Hsieh
Dacheng Tao
311
13
0
22 Aug 2024
Quantum Supervised Learning
A. Macaluso
260
10
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24 Jul 2024
Statistics-Informed Parameterized Quantum Circuit via Maximum Entropy Principle for Data Science and Finance
Xi-Ning Zhuang
Zhao-Yun Chen
Cheng Xue
Xiao-Fan Xu
Chao Wang
Huan-Yu Liu
Tai-ping Sun
Yun-Jie Wang
Yu-Chun Wu
Guo-Ping Guo
204
2
0
03 Jun 2024
Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare
A. Bhatia
David E. Bernal Neira
FedML
449
13
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13 May 2024
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
192
2
0
12 May 2024
Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises
Zhihan Zhang
Weiyuan Gong
Weikang Li
Dong-Ling Deng
258
11
0
01 May 2024
Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension
Changwon Lee
Israel F. Araujo
Dongha Kim
Junghan Lee
Siheon Park
Ju-Young Ryu
Daniel K. Park
282
7
0
28 Mar 2024
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
Yunfei Wang
Sergii Strelchuk
329
98
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21 Jan 2024
Does provable absence of barren plateaus imply classical simulability?
Nature Communications (Nat. Commun.), 2023
M. Cerezo
Martín Larocca
Diego García-Martín
N. L. Diaz
Paolo Braccia
...
Pablo Bermejo
Aroosa Ijaz
Supanut Thanasilp
Eric R. Anschuetz
Zoë Holmes
581
243
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14 Dec 2023
Advantage of Quantum Machine Learning from General Computational Advantages
H. Yamasaki
Natsuto Isogai
M. Murao
226
11
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05 Dec 2023
3D-QAE: Fully Quantum Auto-Encoding of 3D Point Clouds
Lakshika Rathi
Edith Tretschk
Christian Theobalt
Rishabh Dabral
Vladislav Golyanik
3DPC
213
6
0
09 Nov 2023
Hybrid Quantum-Classical Machine Learning for Sentiment Analysis
International Conference on Machine Learning and Applications (ICMLA), 2023
Abu Kaisar
Anshul Maurya
Dhruthi Sridhar
Murthy Pratibha Naveed
Mahmud
217
10
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08 Oct 2023
Learning Quantum Processes with Quantum Statistical Queries
Quantum (Quantum), 2023
Chirag Wadhwa
Mina Doosti
707
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03 Oct 2023
Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm
Till Muser
Elias Zapusek
Vasilis Belis
Florentin Reiter
273
15
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25 Sep 2023
Tight bounds on Pauli channel learning without entanglement
Physical Review Letters (PRL), 2023
Senrui Chen
Changhun Oh
Sisi Zhou
Hsin-Yuan Huang
Liang Jiang
246
30
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23 Sep 2023
Statistical Complexity of Quantum Learning
Advanced Quantum Technologies (AQT), 2023
L. Banchi
Jason Luke Pereira
Sharu Theresa Jose
Osvaldo Simeone
242
20
0
20 Sep 2023
Quantum-Noise-Driven Generative Diffusion Models
Advanced Quantum Technologies (AQT), 2023
Marco Parigi
Stefano Martina
Filippo Caruso
DiffM
359
38
0
23 Aug 2023
Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates II: Single-Copy Measurements
Sabee Grewal
Vishnu Iyer
William Kretschmer
Daniel Liang
205
5
0
14 Aug 2023
Classical Verification of Quantum Learning
Information Technology Convergence and Services (ITCS), 2023
Matthias C. Caro
M. Hinsche
M. Ioannou
A. Nietner
R. Sweke
283
9
0
08 Jun 2023
Transition Role of Entangled Data in Quantum Machine Learning
Nature Communications (Nat. Commun.), 2023
Xinbiao Wang
Yuxuan Du
Zhuozhuo Tu
Yong Luo
Xiao Yuan
Dacheng Tao
319
22
0
06 Jun 2023
On quantum backpropagation, information reuse, and cheating measurement collapse
Neural Information Processing Systems (NeurIPS), 2023
Amira Abbas
Robbie King
Hsin-Yuan Huang
W. Huggins
R. Movassagh
D. Gilboa
Jarrod R. McClean
322
65
0
22 May 2023
Efficient information recovery from Pauli noise via classical shadow
Yifei Chen
Zhan Yu
Chenghong Zhu
Xin Wang
145
3
0
06 May 2023
The power and limitations of learning quantum dynamics incoherently
Sofiene Jerbi
Joe Gibbs
Manuel S. Rudolph
Matthias C. Caro
Patrick J. Coles
Hsin-Yuan Huang
Zoë Holmes
229
19
0
22 Mar 2023
Challenges and Opportunities in Quantum Machine Learning
Nature Computational Science (Nat. Comput. Sci.), 2022
M. Cerezo
Guillaume Verdon
Hsin-Yuan Huang
L. Cincio
Patrick J. Coles
VLM
298
702
0
16 Mar 2023
Towards provably efficient quantum algorithms for large-scale machine-learning models
Nature Communications (Nat. Commun.), 2023
Junyu Liu
Minzhao Liu
Jin-Peng Liu
Ziyu Ye
Yunfei Wang
Yuri Alexeev
Jens Eisert
Liang Jiang
634
91
0
06 Mar 2023
Spacetime-Efficient Low-Depth Quantum State Preparation with Applications
Quantum (Quantum), 2023
Kaiwen Gui
A. Dalzell
Alessandro Achille
Martin Suchara
Frederic T. Chong
214
32
0
03 Mar 2023
Privacy Against Hypothesis-Testing Adversaries for Quantum Computing
F. Farokhi
181
2
0
24 Feb 2023
Improved machine learning algorithm for predicting ground state properties
Nature Communications (Nat. Commun.), 2023
Laura Lewis
Hsin-Yuan Huang
Viet-Trung Tran
Sebastian Lehner
R. Kueng
J. Preskill
AI4CE
230
65
0
30 Jan 2023
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation
International Conference on Machine Learning (ICML), 2023
H. Yamasaki
Sathyawageeswar Subramanian
Satoshi Hayakawa
Sho Sonoda
MLT
287
7
0
27 Jan 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
Physical Review Letters (PRL), 2022
Yuxuan Du
Jianlong Wu
Dacheng Tao
Min-hsiu Hsieh
503
36
0
29 Dec 2022
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
ACM Transactions on Quantum Computing (ACM TQC), 2022
Matthias C. Caro
320
64
0
08 Dec 2022
Quantum Split Neural Network Learning using Cross-Channel Pooling
Won Joon Yun
Hankyul Baek
Joongheon Kim
399
8
0
12 Nov 2022
Efficient and quantum-adaptive machine learning with fermion neural networks
Physical Review Applied (Phys. Rev. Appl.), 2022
Peikun Zheng
Jia-Bao Wang
Yi Zhang
176
7
0
10 Nov 2022
Learning to predict arbitrary quantum processes
PRX Quantum (PRX Quantum), 2022
Hsin-Yuan Huang
Sitan Chen
J. Preskill
352
98
0
26 Oct 2022
The Complexity of NISQ
Nature Communications (Nat Commun), 2022
Sitan Chen
Jordan S. Cotler
Hsin-Yuan Huang
Jungshian Li
243
122
0
13 Oct 2022
Exponential concentration in quantum kernel methods
Nature Communications (Nat Commun), 2022
Supanut Thanasilp
Samson Wang
M. Cerezo
Zoë Holmes
272
146
0
23 Aug 2022
Active Learning on a Programmable Photonic Quantum Processor
Quantum Science and Technology (QST), 2022
Chen Ding
Xiao-Yue Xu
Yun-Fei Niu
Shuo Zhang
Wansu Bao
Heliang Huang
227
6
0
03 Aug 2022
When Does Adaptivity Help for Quantum State Learning?
IEEE Annual Symposium on Foundations of Computer Science (FOCS), 2022
Sitan Chen
Brice Huang
Jungshian Li
Allen Liu
Mark Sellke
177
41
0
10 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jinkai Tian
Xiaoyun Sun
Yuxuan Du
Shanshan Zhao
Qing Liu
...
Xingyao Wu
Min-hsiu Hsieh
Tongliang Liu
Wen-Bin Yang
Dacheng Tao
AI4CE
342
127
0
07 Jun 2022
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