Microsoft’s Majorana 1 is a newly unveiled quantum computing chip that marks a major breakthrough in the quest for practical quantum computers. It’s the world’s first quantum processor built on a so-called Topological Core architecture – meaning it uses topological qubits (based on exotic Majorana particles that I’ll dig into more shortly) instead of the fragile qubits found in today’s machines. Microsoft believes this innovation could accelerate the timeline for solving real-world, industrial-scale problems with quantum computing from “decades” to just a few years.
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Quantum ML: Real-World Applications Today, with Dr. Florian Neukart
In today's episode, extremely clear-spoken Dr. Florian Neukart — a world-leading expert on quantum computing — details real-world problems we can tackle with Quantum ML and how you can get started with QML today!
Florian:
Is Chief Product Officer and Member of the Board at Terra Quantum AG, a leading quantum-computing startup headquartered in Switzerland and Germany.
Assistant Professor of quantum computing at Leiden University in the Netherlands.
Holds a PhD in Quantum Computing and Machine Learning.
Today’s episode gets a bit technical at some parts — particularly near the beginning — with respect to the mechanics of quantum computing and Quantum ML (QML) but, by and large, the episode should be fascinating to any interested listener.
In today’s episode, Florian details:
How a new generation of hybrid quantum-classical systems has made quantum computing practical for real-world applications.
An overview of the available quantum computing chips, including Willow, Google’s new quantum chip, which has been making a big splash.
The race to develop "quantum-proof" encryption.
The breadth of real-world problems that can be tackled with quantum machine learning today.
How quantum ML could unlock personalized medicine, nuclear fusion energy and revolutionary space technologies.
How you can get started with quantum ML yourself today.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.