Information-theoretic bounds on quantum advantage in machine learning

7 January 2021

Papers citing "Information-theoretic bounds on quantum advantage in machine learning"

35 / 35 papers shown

Title
Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare A. Bhatia David E. Bernal Neira FedML 45 7 0 13 May 2024
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing M. Cerezo Martín Larocca Diego García-Martín N. L. Diaz Paolo Braccia ... Pablo Bermejo Aroosa Ijaz Supanut Thanasilp Eric R. Anschuetz Zoë Holmes 43 128 0 14 Dec 2023
Learning Quantum Processes with Quantum Statistical Queries Chirag Wadhwa Mina Doosti 45 3 0 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 30 5 0 25 Sep 2023
Tight bounds on Pauli channel learning without entanglement Senrui Chen Changhun Oh Sisi Zhou Hsin-Yuan Huang Liang Jiang 24 14 0 23 Sep 2023
Classical Verification of Quantum Learning Matthias C. Caro M. Hinsche M. Ioannou A. Nietner R. Sweke 22 5 0 08 Jun 2023
Transition Role of Entangled Data in Quantum Machine Learning Xinbiao Wang Yuxuan Du Zhuozhuo Tu Yong Luo Xiao Yuan Dacheng Tao 40 8 0 06 Jun 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 28 14 0 22 Mar 2023
Challenges and Opportunities in Quantum Machine Learning M. Cerezo Guillaume Verdon Hsin-Yuan Huang L. Cincio Patrick J. Coles VLM 19 404 0 16 Mar 2023
Spacetime-Efficient Low-Depth Quantum State Preparation with Applications Kaiwen Gui A. Dalzell Alessandro Achille Martin Suchara Frederic T. Chong 30 17 0 03 Mar 2023
Privacy Against Hypothesis-Testing Adversaries for Quantum Computing F. Farokhi 15 2 0 24 Feb 2023
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation H. Yamasaki Sathyawageeswar Subramanian Satoshi Hayakawa Sho Sonoda MLT 30 4 0 27 Jan 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 41 22 0 29 Dec 2022
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix Matthias C. Caro 27 41 0 08 Dec 2022
Quantum Split Neural Network Learning using Cross-Channel Pooling Won Joon Yun Hankyul Baek Joongheon Kim 34 4 0 12 Nov 2022
The Complexity of NISQ Sitan Chen Jordan S. Cotler Hsin-Yuan Huang Jungshian Li 36 70 0 13 Oct 2022
Active Learning on a Programmable Photonic Quantum Processor Chen Ding Xiao-Yue Xu Yun-Fei Niu Shuo Zhang Wansu Bao Heliang Huang 26 6 0 03 Aug 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 26 81 0 07 Jun 2022
Quantum neural network autoencoder and classifier applied to an industrial case study Stefano Mangini A. Marruzzo M. Piantanida D. Gerace D. Bajoni C. Macchiavello AI4CE 25 16 0 09 May 2022
Tight Bounds for Quantum State Certification with Incoherent Measurements Sitan Chen Brice Huang Jungshian Li Allen Liu 17 22 0 14 Apr 2022
Analytic theory for the dynamics of wide quantum neural networks Junyu Liu K. Najafi Kunal Sharma F. Tacchino Liang Jiang Antonio Mezzacapo 27 52 0 30 Mar 2022
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze Han Zheng Zimu Li Junyu Liu Sergii Strelchuk Risi Kondor 53 54 0 14 Dec 2021
Revisiting dequantization and quantum advantage in learning tasks Jordan S. Cotler Hsin-Yuan Huang Jarrod R. McClean 46 31 0 01 Dec 2021
Exponential separations between learning with and without quantum memory Sitan Chen Jordan S. Cotler Hsin-Yuan Huang J. Li 34 109 0 10 Nov 2021
A Hierarchy for Replica Quantum Advantage Sitan Chen Jordan S. Cotler Hsin-Yuan Huang J. Li 48 22 0 10 Nov 2021
Generalization in quantum machine learning from few training data Matthias C. Caro Hsin-Yuan Huang M. Cerezo Kunal Sharma A. Sornborger L. Cincio Patrick J. Coles 8 354 0 09 Nov 2021
Subtleties in the trainability of quantum machine learning models Supanut Thanasilp Samson Wang Nhat A. Nghiem Patrick J. Coles M. Cerezo 38 61 0 27 Oct 2021
Theory of overparametrization in quantum neural networks Martín Larocca Nathan Ju Diego García-Martín Patrick J. Coles M. Cerezo 37 188 0 23 Sep 2021
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 19 58 0 08 Sep 2021
Recent advances for quantum classifiers Weikang Li D. Deng AAML 33 84 0 30 Aug 2021
Photonic Quantum Policy Learning in OpenAI Gym D. Nagy Zsolt I. Tabi Péter Hága Zsófia Kallus Z. Zimborás 23 7 0 29 Aug 2021
Accelerating variational quantum algorithms with multiple quantum processors Yuxuan Du Yan Qian Dacheng Tao 9 8 0 24 Jun 2021
The Inductive Bias of Quantum Kernels Jonas M. Kubler Simon Buchholz Bernhard Schölkopf 19 118 0 07 Jun 2021
Toward Instance-Optimal State Certification With Incoherent Measurements Sitan Chen J. Li Ryan O'Donnell 13 19 0 25 Feb 2021
Power of data in quantum machine learning Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean 23 621 0 03 Nov 2020