Quantum-inspired algorithm solves 268 million-site quasicrystal simulation in a heartbeat

Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...
IEEE

Diophantine Equation and the Euclidean Algorithm: Methods and Philosophy of the Algebraic Approach to Linear Multivariable Control [Lecture Notes]

Abstract: The story behind the Euclidean algorithm and its relationship to the solution of the Diophantine equation is examined in this article. The Euclidean algorithm appears in Proposition 2 in ...
CNBC

A Google AI breakthrough is pressuring memory chip stocks from Samsung to Micron

Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...
GitHub

Parallel network simplex algorithm for the minimum cost flow problem.

This code is structured as a standalone tool to use as a solver for DIMACS minimum cost flow problem files. Solution is then given as a DIMACS minimum cost flow solution file optionally with flow ...
TechCrunch

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
IEEE

Probabilistic Optimal Power Flow Calculation Using Weighted Quasi-Monte Carlo Method Based on Homotopy Algorithm and Correlation Correction

Abstract: This paper proposes a novel method combining Monte Carlo simulation (MCS) and approximation method to improve the high-order moments accuracy of probabilistic optimal power flow (POPF) with ...