Testing multipartite productness is easier than testing bipartite productness

We prove a lower bound on the number of copies needed to test the property of a multipartite quantum state being product across some bipartition (i.e., not genuinely multipartite entangled), given the promise that the input state either has this property or is ϵ-far in trace distance from any state with this property. We show that Ω(n/log n) copies are required (for fixed ϵ≤12), complementing a previous result that O(n/ϵ2) copies are sufficient. Our proof technique proceeds by considering uniformly random ensembles over such states, and showing that the trace distance between these ensembles becomes arbitrarily small for sufficiently large n unless the number of copies is at least Ω(n/log n). We discuss implications for testing graph states and computing the generalized geometric measure of entanglement.

Authors

Institutions

Publication Details

Journal
Journal of Mathematical Physics
Published
2025-05-01
DOI
https://doi.org/10.1063/5.0239593
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Testing multipartite productness is easier than testing bipartite productness

Ashley Montanaro, Benjamin D. M. Jones
Journal of Mathematical Physics
Statistical Methods in Clinical Trials
article

Testing multipartite productness is easier than testing bipartite productness

Ashley Montanaro, Benjamin D. M. Jones
article en

Abstract

We prove a lower bound on the number of copies needed to test the property of a multipartite quantum state being product across some bipartition (i.e., not genuinely multipartite entangled), given the promise that the input state either has this property or is ϵ-far in trace distance from any state with this property. We show that Ω(n/log n) copies are required (for fixed ϵ≤12), complementing a previous result that O(n/ϵ2) copies are sufficient. Our proof technique proceeds by considering uniformly random ensembles over such states, and showing that the trace distance between these ensembles becomes arbitrarily small for sufficiently large n unless the number of copies is at least Ω(n/log n). We discuss implications for testing graph states and computing the generalized geometric measure of entanglement.

Journal of Mathematical PhysicsVol. 66(5)
University of Bristol (GB), Phasecraft Ltd. (United Kingdom) (GB), Bristol Robotics Laboratory (GB)
Engineering and Physical Sciences Research Council, HORIZON EUROPE European Research Council
Openalex Percentile: Top 88%
Statistical Methods in Clinical Trials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.