Stabiliser states are efficiently PAC-learnable

30 April 2017

Papers citing "Stabiliser states are efficiently PAC-learnable"

10 / 10 papers shown

Title
A survey on the complexity of learning quantum states Anurag Anshu Srinivasan Arunachalam 34 67 0 31 May 2023
Learning Energy-Based Representations of Quantum Many-Body States Abhijith Jayakumar Marc Vuffray A. Lokhov AI4CE 32 3 0 08 Apr 2023
Learnability of the output distributions of local quantum circuits M. Hinsche M. Ioannou A. Nietner J. Haferkamp Yihui Quek D. Hangleiter Jean-Pierre Seifert Jens Eisert R. Sweke 35 17 0 11 Oct 2021
On the Hardness of PAC-learning Stabilizer States with Noise Aravind Gollakota Daniel Liang 16 16 0 09 Feb 2021
Quantum statistical query learning Srinivasan Arunachalam A. Grilo Henry Yuen 17 32 0 19 Feb 2020
Quantum Boosting Srinivasan Arunachalam Reevu Maity 27 25 0 12 Feb 2020
Pseudo-dimension of quantum circuits Matthias C. Caro Ishaun Datta 14 43 0 04 Feb 2020
Online Learning of Quantum States S. Aaronson Xinyi Chen Elad Hazan Satyen Kale A. Nayak 24 91 0 25 Feb 2018
Experimental learning of quantum states Andrea Rocchetto Scott Aaronson Simone Severini G. Carvacho D. Poderini I. Agresti M. Bentivegna F. Sciarrino 27 69 0 30 Nov 2017
$Machine learning \& artificial intelligence in the quantum domain$ Machine learning \& artificial intelligence in the quantum domain Vedran Dunjko H. Briegel 27 344 0 08 Sep 2017