Papers
Topics
Authors
Recent
Search
2000 character limit reached

No epistemic model can explain anti-distinguishability of quantum mixed preparations

Published 31 Jan 2024 in quant-ph | (2401.17980v2)

Abstract: We address the fundamental question of whether epistemic models can reproduce the empirical predictions of general quantum preparations. This involves comparing the common quantum overlap determined by the anti-distinguishability of a set of mixed preparations with the common epistemic overlap of the probability distribution over the ontic states describing these preparations. A set of quantum mixed preparations is deemed to be non-epistemic when the epistemic overlap must be zero while the corresponding quantum overlap remains non-zero. In its strongest manifestation, a set of mixed quantum preparations is fully non-epistemic if the epistemic overlap vanishes while the quantum overlap reaches its maximum value of one. Remarkably, we show that there exist sets of non-epistemic mixed preparations even in dimension 2, when the overlap between three mixed preparations is concerned. Moreover, we present quantum mixed preparations in dimensions 3 and 4 that are fully non-epistemic concerning the overlap between four and three preparations, respectively. We also establish a generic upper bound on the average ratio between the epistemic and quantum overlap for two mixed preparations. Consequently, the ratio for certain pairs of quantum mixed preparations is shown to be arbitrarily small in two different instances, signifying they are non-epistemic in one case and fully non-epistemic in the other. Finally, we delve into some of the remarkable implications stemming from our findings.

Citations (1)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.