The most popular and comprehensive Open Source ECM platform
Let us know more
Machine Learning: Speeding up ML with Quantum Computers
Quantum Machine Learning is the use of Quantum Computers to do Machine Learning. The Machine Learning techniques applied often are “classical” or do not significantly differ from standard Machine Learning, although the algorithms may be implemented to be optimized for quantum computing.
Sabre Kais, professor of chemical physics at Purdue, said that “this is an exciting time to combine machine learning with quantum computing. Impressive progress has been made recently in building quantum computers, and quantum machine learning techniques will become powerful tools for finding new patterns in big data.”
Jörg Esser, theoretical physicist, wrote that “Quantum computing enables exponential increases in speed by harnessing the weirdness of quantum mechanics. The key challenge is to build robust systems at scale.”
The MIT tech review said that “Quantum computers will be particularly suited to factoring large numbers…, solving complex optimization problems, and executing machine-learning algorithms. And there will be applications nobody has yet envisioned.”
That is interesting! I’ve been hunting for a post similar to this for quite
a long time.
I saw your publications previously, however this one I consider the
best.
I see the author has floor knowledge it the subject in addition to
some practical expertise. Such sort of info is more favorable than copypasted blog posts thoughts.
Artificial super intelligence (ASI), is the hypothetical AI that doesn’t
just mimic or understand human intelligence and behaviour; ASI is where machines become
self-aware and surpass the capacity of human intelligence and ability, and the types of
Super artifical inteligence technology.
Good post