Quantum Machine Learning puts AI on Steroids (EN)

Quantum Machine Learning puts AI on Steroids (EN)

11:15 - 11:45 | festival.stage | Start-up

Currently, we are at the beginning of a new era of computing, which will have a massive impact on society as a whole – it is called Quantum Computing.
This technology will greatly influence the development and boost the performance of AI. Furthermore, it will allow for the first time to solve very complex problems e.g. in the fields of material and medical research or cryptography.
First industry players like Volkswagen, Daimler or Airbus have already successfully applied this technology to business relevant optimization problems.
Right now there is applicable quantum hardware accessible provided by D-Wave, Google or IBM.
Although these hardware structures are rather small at the moment there is proof that these quantum systems already outperform classical ones.
The reason for this computation power lies in the quantum effects that are utilized on the hardware level.
In contrast to classical computers that work with bits which are either 1 OR 0, a quantum computer works with so called qubits that are 1 AND 0 at the same time. This counter intuitive behavior of simultaneously being in two different states can be used to perform calculations in parallel in a way that is impossible to do with a classical computer.
Just imagine you want to read all books in a library: the classical way is to read each book one after another whereas the quantum way is to read all books at the same time.
Using this intrinsic property quantum computers allow to e.g. process large amounts of data and train more complex neural networks very fast.
Due to the rapid technological development and the versatile use cases that can be adressed, all industries should start thinking about how they can benefit from the potential of quantum computing.
In my talk I will give a short introduction into quantum computing, summarize the current status quo of the field and show some use cases focusing on quantum machine learning.

Christian Nietner, Founder & CTO, Avanetix