Maximally symmetric stabilizer MUBs in even prime-power dimensions
Claudio Carmeli, Jussi Schultz, Alessandro Toigo

TL;DR
This paper explores the construction of maximally symmetric mutually unbiased bases (MUBs) in even prime-power dimensions, revealing multiple inequivalent covariant families and contrasting with the odd-dimensional case.
Contribution
It demonstrates the existence of two distinct maximal subgroups admitting covariant MUBs in even prime-power dimensions and explicitly constructs families of such bases.
Findings
Existence of two essentially different covariant MUB families in 2^n dimensions
Explicit construction of covariant MUBs for both subgroup types
Maximally covariant MUBs are not unique in even prime-power dimensions
Abstract
One way to construct a maximal set of mutually unbiased bases (MUBs) in a prime-power dimensional Hilbert space is by means of finite phase-space methods. MUBs obtained in this way are covariant with respect to some subgroup of the group of all affine symplectic phase-space transformations. However, this construction is not canonical: as a consequence, many different choices of covariance sugroups are possible. In particular, when the Hilbert space is dimensional, it is known that covariance with respect to the full group of affine symplectic phase-space transformations can never be achieved. Here we show that in this case there exist two essentially different choices of maximal subgroups admitting covariant MUBs. For both of them, we explicitly construct a family of covariant MUBs. We thus prove that, contrary to the odd dimensional case, maximally covariant MUBs are very…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
