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Title:
Resolvable Block Designs in Construction of Approximate Real MUBs that are Sparse
Authors: Ajeet Kumar, Subhamoy Maitra
Abstract:Several constructions of Mutually Unbiased Bases (MUBs) borrow tools from combinatorial objects. In this paper we focus how one can construct Approximate Real MUBs (ARMUBs) with improved parameters using results from the domain of Resolvable Block Designs (RBDs). We first explain the generic idea of our strategy in relating the RBDs with MUBs/ARMUBs, which are sparse (the basis vectors have small number of non-zero co-ordinates). Then specific parameters are presented, for which we can obtain new classes and improve the existing results. To be specific, we present an infinite family of \lceil\sqrt{d}\rceil many ARMUBs for dimension d = q(q+1), where q \equiv 3 \bmod 4 and it is a prime power, such that for any two vectors v_1, v_2 belonging to different bases, |\braket{v_1|v_2}| < \frac{2}{\sqrt{d}}. We also demonstrate certain cases, such as d = sq^2, where q is a prime power and sq \equiv 0 \bmod 4. These findings subsume and improve our earlier results in [Cryptogr. Commun. 13, 321-329, January 2021]. This present construction idea provides several infinite families of such objects, not known in the literature, which can find efficient applications in quantum information processing for the sparsity, apart from suggesting that parallel classes of RBDs are intimately linked with MUBs/ARMUBs.
ePrint: https://eprint.iacr.org/2021/901
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