Revisiting dequantization and quantum advantage in learning tasks

Revisiting dequantization and quantum advantage in learning tasks

1 December 2021

Jordan S. Cotler

Hsin-Yuan Huang

Jarrod R. McClean

Papers citing "Revisiting dequantization and quantum advantage in learning tasks"

6 / 6 papers shown

Title
Quantum advantage in learning from experiments Hsin-Yuan Huang Michael Broughton Jordan S. Cotler Sitan Chen Jingkai Li ... Hartmut Neven Ryan Babbush R. Kueng J. Preskill Jarrod R. McClean 48 477 0 01 Dec 2021
Exponential separations between learning with and without quantum memory Sitan Chen Jordan S. Cotler Hsin-Yuan Huang Jingkai Li 69 116 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 109 233 0 23 Jun 2021
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 91 221 0 07 Jan 2021
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 57 135 0 14 Oct 2019
A quantum-inspired classical algorithm for recommendation systems Ewin Tang VLM 62 370 0 10 Jul 2018