Extracting useful information from large data sets can be a daunting task. Topological methods for analysing data sets provide a powerful technique for extracting such information. Persistent homology ...
Arxiv – A survey of applications and end-to-end complexities. (337 pages. Oct 2023) by Researchers at AWS Center for Quantum Computing, Institute for Quantum Information, RWTH Aachen University ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
One of the ways that computers 'think' is by analyzing relationships within large sets of data. An international team has shown that quantum computers can do one such analysis faster than classical ...
When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...
Every time particle physicists look for the Higgs boson or any other members of a large collection of theoretical particles, they have to do a bit of statistics. Well, quite a lot of statistics, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results