We revisit the fundamental Boolean Matrix Multiplication (BMM) problem. With the invention of algebraic fast matrix multiplication over 50 years ago, it also became known that BMM can be solved in truly subcubic O(nω) time, where ω<3; much work has gone into bringing ω closer to 2. Since then, a parallel line of work has sought comparably fast combinatorial algorithms but with limited success. The na'ive O(n3)-time algorithm was initially improved by a log2n factor [Arlazarov et al.; RAS'70], then by log2.25n [Bansal and Williams; FOCS'09], then by log3n [Chan; SODA'15], and finally by log4n [Yu; ICALP'15].
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Abboud et al. (2024) studied this question.
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