For several years, researchers have been trying to use computational methods for exact string matching, which entails identifying repeating patterns in long strings of text or digits. This is because tools that can automatically ...
(Phys.org)—Physicists have applied the ability of machine learning algorithms to learn from experience to one of the biggest challenges currently facing quantum computing: quantum error correction, which is used to design ...
(Phys.org)—Assessing and ranking research institutes is important for awarding grants, recruiting employees, promoting institutes, and other reasons. But finding a fair and accurate method for assessing the performance ...
(PhysOrg.com) -- Almost all information, in a sense, can be represented by symbols. In order to extract this embedded information, the symbols and the rules governing their sequence formation need to be deciphered. There ...
The Manhattan Project was a top-secret program that culminated in the development of the first atomic bombs during World War 2. This covert and controversial research endeavor involved many gifted and reputable scientists, ...
Superconductors have long been considered the principal approach for realizing electronics without resistivity. In the past decade, a new family of quantum materials, "topological materials," has offered an alternative but ...
Condensed Matter
Mar 24, 2022
0
167
Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can. While a fundamental solvability problem known as ...
General Physics
Oct 18, 2021
1
3135
A relatively new type of computing that mimics the way the human brain works was already transforming how scientists could tackle some of the most difficult information processing problems.
General Physics
Sep 21, 2021
7
816
Scientists seeking to design new catalysts to convert carbon dioxide (CO2) to methane have used a novel artificial intelligence (AI) approach to identify key catalytic properties. By using this method to track the size, structure, ...
Materials Science
Oct 23, 2019
0
115
For the first time, astrophysicists have used artificial intelligence techniques to generate complex 3-D simulations of the universe. The results are so fast, accurate and robust that even the creators aren't sure how it ...
Astronomy
Jun 26, 2019
20
20
