Constructing Mutually Unbiased Bases in Dimension Six
Stephen Brierley, Stefan Weigert

TL;DR
This paper investigates the existence of mutually unbiased bases in dimension six, using algebraic computations to test all known Hadamard matrices, and finds strong evidence supporting the conjecture that no seven such bases exist.
Contribution
It provides computational evidence that only up to two mutually unbiased bases can be constructed in dimension six, supporting the conjecture of their non-existence beyond that.
Findings
Never found more than two mutually unbiased bases in dimension six
Supports the conjecture that seven mutually unbiased bases do not exist in dimension six
Uses algebraic computations on known Hadamard matrices
Abstract
The density matrix of a qudit may be reconstructed with optimal efficiency if the expectation values of a specific set of observables are known. In dimension six, the required observables only exist if it is possible to identify six mutually unbiased complex 6x6 Hadamard matrices. Prescribing a first Hadamard matrix, we construct all others mutually unbiased to it, using algebraic computations performed by a computer program. We repeat this calculation many times, sampling all known complex Hadamard matrices, and we never find more than two that are mutually unbiased. This result adds considerable support to the conjecture that no seven mutually unbiased bases exist in dimension six.
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.
