On Construction of Approximate Real Mutually Unbiased Bases for an infinite class of dimensions $d \not\equiv 0 \bmod 4$
Ajeet Kumar, Rakesh Kumar, Subhamoy Maitra, Uddipto Mandal

TL;DR
This paper demonstrates the construction of more than lb1 lb7 lb7 lb7 ARMUBs in certain infinite classes of dimensions where real MUBs do not exist, using Hadamard matrices and orthogonal matrices.
Contribution
It introduces a novel method to construct approximate real MUBs in dimensions not divisible by 4, expanding possibilities for quantum information applications.
Findings
Constructed > lb1 lb7 lb7 lb7 ARMUBs for specific odd dimensions.
Utilized real Hadamard matrices to build orthogonal matrices with near-uniform entries.
Achieved basis inner product bounds below 2, applicable to infinitely many dimensions.
Abstract
It is known that real Mutually Unbiased Bases (MUBs) do not exist for any dimension which is not divisible by 4. Thus, the next combinatorial question is how one can construct Approximate Real MUBs (ARMUBs) in this direction with encouraging parameters. In this paper, for the first time, we show that it is possible to construct many ARMUBs for certain odd dimensions of the form , , where is a natural number and is an odd prime power. Our method exploits any available real Hadamard matrix (conjectured to be true) and uses this to construct an orthogonal matrix of size , such that the absolute value of each entry varies a little from . In our construction, the absolute value of the inner product between any pair of basis vectors…
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.
Taxonomy
TopicsAdvanced Banach Space Theory
