Optimal Measurement Structures for Contextuality Applications
- URL: http://arxiv.org/abs/2206.13139v3
- Date: Wed, 19 Apr 2023 15:32:46 GMT
- Title: Optimal Measurement Structures for Contextuality Applications
- Authors: Yuan Liu, Ravishankar Ramanathan, Karol Horodecki, Monika Rosicka, and
Pawe{\l} Horodecki
- Abstract summary: The Kochen-Specker (KS) theorem is a corner-stone result in the foundations of quantum mechanics.
Recently specific substructures termed $01$-gadgets were shown to exist within KS proofs.
We show these gadgets and their generalizations provide an optimal toolbox for contextuality applications.
- Score: 4.407033774951362
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The Kochen-Specker (KS) theorem is a corner-stone result in the foundations
of quantum mechanics describing the fundamental difference between quantum
theory and classical non-contextual theories. Recently specific substructures
termed $01$-gadgets were shown to exist within KS proofs that capture the
essential contradiction of the theorem. Here, we show these gadgets and their
generalizations provide an optimal toolbox for contextuality applications
including (i) constructing classical channels exhibiting entanglement-assisted
advantage in zero-error communication, (ii) identifying large separations
between quantum theory and binary generalised probabilistic theories, and (iii)
finding optimal tests for contextuality-based semi-device-independent
randomness generation. Furthermore, we introduce and study a generalisation to
definite prediction sets for more general logical propositions, that we term
higher-order gadgets. We pinpoint the role these higher-order gadgets play in
KS proofs by identifying these as induced subgraphs within KS graphs and
showing how to construct proofs of state-independent contextuality using
higher-order gadgets as building blocks. The constructions developed here may
help in solving some of the remaining open problems regarding minimal proofs of
the Kochen-Specker theorem.
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