The computational hardness conjecture for constant discrepancy

From papers

Let AA be drawn from the (m,n,1/2)(m,n,1/2)-Bernoulli ensemble, where CC is a universal constant and nCmlogmn\geq C m\log m. Computational hardness conjecture. With high probability, no efficient algorithm finds a solution of constant discrepancy for AA.The conjecture is motivated by the planted model, where clusters of low-discrepancy solutions are isolated from one another. It asserts an algorithmic barrier for finding constant-discrepancy solutions in the stated random regime.

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Primary source

Dylan J. Altschuler and Jonathan Niles-Weed, “The Discrepancy of Random Rectangular Matrices”, arXiv:2101.04036 (2021).

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