OpenAI’s New Matrix Multiplication Bound: ω ≤ 2.25
One result family in OpenAI’s October 2026 mathematics release concerns the exponent ω of matrix multiplication.

OpenAI’s New Matrix Multiplication Bound: ω ≤ 2.25
One result family in OpenAI’s October 2026 mathematics release concerns the exponent ω of matrix multiplication.
Why 0.878 Is Max-Cut’s Approximation Wall
Max-Cut asks for a split of a graph’s vertices that sends as many edges as possible across the divide.
#maxcut #approximationalgorithms #complexitytheory #uniquenessgames
OpenAI’s Unique Games Claim Is Not P vs NP
A manuscript in OpenAI’s October 2026 mathematics release tackles Unique Games, a conjecture open for more than two decades.
Two new quantum algorithms achieve tight query complexity bounds for ground-state preparation: one with optimal expected-case complexity O(α/γ∆ + α/∆·log(1/ε)) and another with optimal worst-case bounds. Matching lower bounds prove optimality.
New formulation of the multiplicative adversary method yields the strongest quantum query lower bounds yet, enabling first time-space tradeoffs for general quantum algorithms and proving list-decoding theorems extending classical results.
Proves explicit finite-n bounds on sets of square quadratic systems with no vs. exactly one solution, establishing fundamental limits relevant to post-quantum cryptographic hardness assumptions.