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Lin Chen 0050

dblp:13/3479-50 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-8367-3651ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Quantum computing and quantum information · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Quantum computing and quantum information
quantum state tomography
1.012026
Mixed States Uniquely Determined by Marginals and Additivity · IEEE Trans. Inf. Theory 2026

Methods — techniques the papers use, named apart from their topics

k-partite marginal · 1.0additivity · 1.0
YearPublicationVenuePosition
2026 Mixed States Uniquely Determined by Marginals and Additivity
abstract
Identifying whether a mixed quantum state is uniquely determined among all states (UDA) by its local marginals is a basic problem in quantum information theory. We establish necessary and sufficient conditions under which several classes of multipartite mixed states are UDA by theirk-partite marginals. We also prove structural properties based on ranges and marginals, and formulate a recursive procedure for the determination of UDA states. We show that sufficiently high rank rules out unique determination from fixed-order marginals, implying that almost all multipartite mixed states are not UDA from such marginals. Finally, we completely characterize the additivity of bipartite UDA states, three-qubit and several families ofn-qubit product UDA states. These results clarify the boundary between UDA and non-UDA mixed states and provide a framework for local-marginal reconstruction and related certification tasks.
Xinyu Qiu, Lin Chen 0050, Genwei Li, Delin Chu
IEEE Trans. Inf. Theory2