2022
DOI: 10.48550/arxiv.2202.05132
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Quantifying information scrambling via Classical Shadow Tomography on Programmable Quantum Simulators

Abstract: We develop techniques to probe the dynamics of quantum information, and implement them experimentally on an IBM superconducting quantum processor. Our protocols adapt shadow tomography for the study of time evolution channels rather than of quantum states, and rely only on single-qubit operations and measurements. We identify two unambiguous signatures of quantum information scrambling, neither of which can be mimicked by dissipative processes, and relate these to many-body teleportation. By realizing quantum … Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 85 publications
(160 reference statements)
0
1
0
Order By: Relevance
“…Amongst these are extensions of the classical shadows framework to quantum channels [71,72] and to more general ensembles, like locally scrambled unitary ensembles [69] and Pauli-invariant unitary ensembles [77]. Additional applications of classical shadows include avoiding barren plateaus in variational quantum algorithms [76], quantifying information scrambling [78], and estimating gate set properties [73].…”
Section: Classical Shadowsmentioning
confidence: 99%
“…Amongst these are extensions of the classical shadows framework to quantum channels [71,72] and to more general ensembles, like locally scrambled unitary ensembles [69] and Pauli-invariant unitary ensembles [77]. Additional applications of classical shadows include avoiding barren plateaus in variational quantum algorithms [76], quantifying information scrambling [78], and estimating gate set properties [73].…”
Section: Classical Shadowsmentioning
confidence: 99%