Joint measurements through quantum broadcasting
- URL: http://arxiv.org/abs/2207.03226v1
- Date: Thu, 7 Jul 2022 11:15:08 GMT
- Title: Joint measurements through quantum broadcasting
- Authors: Erkka Theodor Haapasalo
- Abstract summary: We study generating joint measurements by operating on the input quantum state with a broadcasting channel followed by local measurements on the two outputs of the broadcasting channel.
Although, due to perfect broadcasting or cloning being impossible, this scheme cannot generate perfect joint observables for all pairs of quantum observables.
For local sharp observables this is always possible as long as the intended joint observable is dominated by the tensor product of the local sharp observables.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We study generating joint measurements by operating on the input quantum
state with a broadcasting channel followed by local measurements on the two
outputs of the broadcasting channel. Although, due to perfect broadcasting or
cloning being impossible, this scheme cannot generate perfect joint observables
for all pairs of quantum observables, we study for what intended joint
observables and local measurements this procedure can be carried out. For local
sharp observables this is always possible as long as the intended joint
observable is dominated by the tensor product of the local sharp observables.
This result excludes the case of joint measurements of continuous sharp
observables with themselves which we indeed show to be impossible to be
generated through broadcasting. We also derive necessary and sufficient
conditions for the success of the broadcasting scheme for local noisy
observables and intended joint observables which are easily checked when the
local observables are convex mixtures of sharp observables and white noise. We
also study broadcasting of local fuzzy observables in the presence of
symmetries. Finally we introduce the scenario of measuring joint observables
where we have access to broadcasting, local measurements and post-processing
and characterize the most resourceful local measurements in this setting.
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