Mutually equibiased bases
Seyed Javad Akhtarshenas, Saman Karimi, and Mahdi Salehi

TL;DR
This paper introduces the concept of mutually equibiased bases (MEBs), relaxing the no-information condition of mutually unbiased bases (MUBs), and explores their mathematical properties, measurement incompatibility, and applications in entanglement detection.
Contribution
It defines MEBs, derives their properties for low dimensions, and develops associated measurement inequalities and entanglement witnesses, expanding the framework beyond traditional MUBs.
Findings
Derived sets of MEBs for dimensions 2 and 3.
Established constraints on probability distributions for MEBs.
Constructed entanglement witnesses based on MEBs.
Abstract
In the framework of mutually unbiased bases (MUBs), a measurement in one basis gives \emph{no information} about the outcomes of measurements in another basis. Here, we relax the no-information condition by allowing the outcomes to be predicted according to a predefined probability distribution . The notion of mutual unbiasedness, however, is preserved by requiring that the extracted information is the same for any preparation and any measurement; regardless of which state from which basis is chosen to prepare the system, the outcomes of measuring the system with respect to the other basis generate the same probability distribution. In light of this, we define the notion of \emph{mutually equibiased bases} (MEBs) such that within each basis the states are equibiased with respect to the states of the other basis and that the bases are mutually equibiased with…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Quantum Computing Algorithms and Architecture
