The first primality tests using randomized algorithms (based on refinements to Fermat’s little theorem) ushered in a new era. Problem after problem turned out to be far easier to solve with randomness ...

(A–C) Classical simulation costs, with the corresponding Schrödinger-Feynman algorithm costs shown in the legend. (D) The optimal random quantum circuit designed by the proposed method for ...

Research team proposed new data placement algorithms for scratch-pad memory (SPM) in embedded systems. Their fine-grained and ...

Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

Excerpted from Things to Make and Do in the Fourth Dimension: A Mathematician’s Journey Through Narcissistic Numbers, Optimal Dating Algorithms, at Least Two Kinds of Infinity, and More by Matt ...

Randomized algorithms for combinatorial and discrete optimization; Randomized algorithms for machine learning on networks; Deadlines. CU Internal Deadline: 11:59pm MST May 2, 2022. DOE Pre-Application ...

Courts use algorithms to help determine sentencing, but random people get the same results. Numbers aren’t always as impartial as they appear. By Sara Chodosh. Published Jan 18, 2018 9:00 PM EST.

Zhang envisions a day – pending Food and Drug Administration approval of AI as a decision-support tool – when clinicians could use this type of algorithm, loaded with electronic health record ...