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Jon Yard

dblp:32/9225 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
0000-0003-4648-949XORCID · reported

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

Theory of computation · 1

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 · 92% Logic in computer science · 8%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Quantum computing and quantum information › quantum complexity theory
QMA
0.112011
A quasipolynomial-time algorithm for the quantum separability problem · STOC 2011
Quantum computing and quantum information
quantum complexity theory
0.112011
A quasipolynomial-time algorithm for the quantum separability problem · STOC 2011
Quantum computing and quantum information › quantum entanglement
quantum separability problem
0.112011
A quasipolynomial-time algorithm for the quantum separability problem · STOC 2011
Quantum computing and quantum information
quantum entanglement
0.012011
A quasipolynomial-time algorithm for the quantum separability problem · STOC 2011
Quantum computing and quantum information
quantum information theory
0.012011
A quasipolynomial-time algorithm for the quantum separability problem · STOC 2011
Logic in computer science
separability
0.012011
A quasipolynomial-time algorithm for the quantum separability problem · STOC 2011

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

semidefinite programming · 0.1convex optimization · 0.1LOCC norm · 0.1
YearPublicationVenuePosition
2011 A quasipolynomial-time algorithm for the quantum separability problem
abstract
We present a quasipolynomial-time algorithm for solving the weak membership problem for the convex set of separable, i.e. non-entangled, bipartite density matrices. The algorithm decides whether a density matrix is separable or whether it is ε-away from the set of the separable states in time exp(O(ε-2 log|A| log|B|)), where |A| and |B| are the local dimensions, and the distance is measured with either the Euclidean norm, or with the so-called LOCC norm. The latter is an operationally motivated norm giving the optimal probability of distinguishing two bipartite quantum states, each shared by two parties, using any protocol formed by quantum local operations and classical communication (LOCC) between the parties. We also obtain improved algorithms for optimizing over the set of separable states and for computing the ground-state energy of mean-field Hamiltonians. The techniques we develop are also applied to quantum Merlin-Arthur games, where we show that multiple provers are not more powerful than a single prover when the verifier is restricted to LOCC protocols, or when the verification procedure is formed by a measurement of small Euclidean norm. This answers a question posed by Aaronson et al. (Theory of Computing 5, 1, 2009) and provides two new characterizations of the complexity class QMA, a quantum analog of NP.
Fernando G. S. L. Brandão, Matthias Christandl, Jon Yard
STOC3