A survey on the complexity of learning quantum states

05/31/2023
by   Anurag Anshu, et al.
0

We survey various recent results that rigorously study the complexity of learning quantum states. These include progress on quantum tomography, learning physical quantum states, alternate learning models to tomography and learning classical functions encoded as quantum states. We highlight how these results are paving the way for a highly successful theory with a range of exciting open questions. To this end, we distill 25 open questions from these results.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/16/2021

Quantum Pseudorandomness and Classical Complexity

We construct a quantum oracle relative to which 𝖡𝖰𝖯 = 𝖰𝖬𝖠 but cryptograp...
research
08/25/2020

An update on Weihrauch complexity, and some open questions

This is an informal survey of progress in Weihrauch complexity (cf arXiv...
research
07/15/2019

Experimental machine learning quantum homodyne tomography

Complete characterization of states and processes that occur within quan...
research
09/17/2023

Provable learning of quantum states with graphical models

The complete learning of an n-qubit quantum state requires samples expon...
research
05/12/2021

Informationally complete POVM-based shadow tomography

Recently introduced shadow tomography protocols use classical shadows of...
research
09/14/2022

Quantum detector tomography applied to the human visual system: a feasibility study

We show that quantum detector tomography can be applied to the human vis...
research
10/22/2021

On the Connection Between Quantum Pseudorandomness and Quantum Hardware Assumptions

This paper, for the first time, addresses the questions related to the c...

Please sign up or login with your details

Forgot password? Click here to reset