Quantum advantage in learning from experiments

Quantum advantage in learning from experiments

1 December 2021

Hsin-Yuan Huang

Michael Broughton

Jordan S. Cotler

Masoud Mohseni

Hartmut Neven

Jarrod R. McClean

Papers citing "Quantum advantage in learning from experiments"

17 / 17 papers shown

Title
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Siddhant Dutta Iago Leal de Freitas Pedro Maciel Xavier Claudio Miceli de Farias David E. Bernal Neira AI4CE FedML 109 0 0 23 Nov 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 41 24 0 27 Feb 2024
Pseudorandom unitaries are neither real nor sparse nor noise-robust Tobias Haug Kishor Bharti D. E. Koh 46 22 0 20 Jun 2023
Multi-Armed Bandits and Quantum Channel Oracles Simon Buchholz Jonas M. Kubler Bernhard Schölkopf 58 2 0 20 Jan 2023
Revisiting dequantization and quantum advantage in learning tasks Jordan S. Cotler Hsin-Yuan Huang Jarrod R. McClean 63 31 0 01 Dec 2021
Exponential separations between learning with and without quantum memory Sitan Chen Jordan S. Cotler Hsin-Yuan Huang Jingkai Li 57 113 0 10 Nov 2021
A Hierarchy for Replica Quantum Advantage Sitan Chen Jordan S. Cotler Hsin-Yuan Huang Jingkai Li 69 22 0 10 Nov 2021
Provably efficient machine learning for quantum many-body problems Hsin-Yuan Huang R. Kueng Giacomo Torlai Victor V. Albert J. Preskill AI4CE 89 233 0 23 Jun 2021
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 80 218 0 07 Jan 2021
TensorFlow Quantum: A Software Framework for Quantum Machine Learning Michael Broughton Guillaume Verdon Trevor McCourt Antonio J. Martinez Jae Hyeon Yoo ... Sergio Boixo Dave Bacon Alan K. Ho Hartmut Neven Masoud Mohseni VLM AI4CE 36 206 0 06 Mar 2020
Predicting Many Properties of a Quantum System from Very Few Measurements Hsin-Yuan Huang R. Kueng J. Preskill 38 1,092 0 18 Feb 2020
Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning Nai-Hui Chia A. Gilyén Tongyang Li Han-Hsuan Lin Ewin Tang Cong Wang 41 135 0 14 Oct 2019
Quantum principal component analysis only achieves an exponential speedup because of its state preparation assumptions Ewin Tang 31 107 0 31 Oct 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 519 129,831 0 12 Jun 2017
Quantum Machine Learning Jacob Biamonte P. Wittek Nicola Pancotti Patrick Rebentrost N. Wiebe S. Lloyd 50 2,004 0 28 Nov 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 363 12,662 0 11 Dec 2014