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A single $T$-gate makes distribution learning hard

A single TTT-gate makes distribution learning hard

7 July 2022
M. Hinsche
M. Ioannou
A. Nietner
J. Haferkamp
Yihui Quek
D. Hangleiter
Jean-Pierre Seifert
Jens Eisert
R. Sweke
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Papers citing "A single $T$-gate makes distribution learning hard"

7 / 7 papers shown
Title
On Lattices, Learning with Errors, Random Linear Codes, and Cryptography
On Lattices, Learning with Errors, Random Linear Codes, and Cryptography
O. Regev
LRM
105
1,079
0
08 Jan 2024
Learning Quantum Processes with Quantum Statistical Queries
Learning Quantum Processes with Quantum Statistical Queries
Chirag Wadhwa
Mina Doosti
67
3
0
03 Oct 2023
On the Hardness of PAC-learning Stabilizer States with Noise
On the Hardness of PAC-learning Stabilizer States with Noise
Aravind Gollakota
Daniel Liang
54
16
0
09 Feb 2021
A rigorous and robust quantum speed-up in supervised machine learning
A rigorous and robust quantum speed-up in supervised machine learning
Yunchao Liu
Srinivasan Arunachalam
K. Temme
79
542
0
05 Oct 2020
On the Quantum versus Classical Learnability of Discrete Distributions
On the Quantum versus Classical Learnability of Discrete Distributions
R. Sweke
Jean-Pierre Seifert
D. Hangleiter
Jens Eisert
57
93
0
28 Jul 2020
Parameterized quantum circuits as machine learning models
Parameterized quantum circuits as machine learning models
Marcello Benedetti
Erika Lloyd
Stefan H. Sack
Mattia Fiorentini
89
893
0
18 Jun 2019
Quantum Machine Learning
Quantum Machine Learning
Jacob Biamonte
P. Wittek
Nicola Pancotti
Patrick Rebentrost
N. Wiebe
S. Lloyd
57
2,019
0
28 Nov 2016
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