2022
DOI: 10.22331/q-2022-08-17-778
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Three numerical approaches to find mutually unbiased bases using Bell inequalities

Abstract: Mutually unbiased bases correspond to highly useful pairs of measurements in quantum information theory. In the smallest composite dimension, six, it is known that between three and seven mutually unbiased bases exist, with a decades-old conjecture, known as Zauner's conjecture, stating that there exist at most three. Here we tackle Zauner's conjecture numerically through the construction of Bell inequalities for every pair of integers n,d≥2 that can be maximally violated in dimension d if and only … Show more

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Cited by 5 publications
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“…Besides proving the existence of (d + 1) MUBs in the power of prime number dimensional Hilbert space (d = p r ), it was shown in [5] that the estimation of a general unknown quantum state ρ by the projective measurements of (d + 1) MUBs is optimal in the sense that the error involved in the statistics of the outcomes is minimal. To the best of our knowledge, the existence of (d + 1) MUBs in composite dimensions such as six or ten is still a conundrum [6,7] although it is known that there are at least three MUBs in every dimension [8]. Assuming that there are (d + 1) MUBs in C d with their corresponding projective measurements {Π nk = |e nk e nk |, n = 1, 2, .…”
Section: Introductionmentioning
confidence: 99%
“…Besides proving the existence of (d + 1) MUBs in the power of prime number dimensional Hilbert space (d = p r ), it was shown in [5] that the estimation of a general unknown quantum state ρ by the projective measurements of (d + 1) MUBs is optimal in the sense that the error involved in the statistics of the outcomes is minimal. To the best of our knowledge, the existence of (d + 1) MUBs in composite dimensions such as six or ten is still a conundrum [6,7] although it is known that there are at least three MUBs in every dimension [8]. Assuming that there are (d + 1) MUBs in C d with their corresponding projective measurements {Π nk = |e nk e nk |, n = 1, 2, .…”
Section: Introductionmentioning
confidence: 99%