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.

Quantum Machine Learning, with Dr. Amira Abbas

Brilliant, eloquent Dr. Amira Abbas introduces us to Quantum Machine Learning in today's episode. She details the key concepts (like qubits), what's possible today (Quantum SVMs) and what the future holds (e.g., Quantum Neural Networks).

Amira: 
• Is a postdoctoral researcher at the University of Amsterdam as well as QuSoft, a world-leading quantum-computing research institution also in the Netherlands.
• Was previously on the Google Quantum A.I. team and did Quantum ML research at IBM.
• Holds a PhD in Quantum ML from the University of KwaZulu-Natal, during which she was a recipient of Google's PhD fellowship.

Much of today’s episode will be fascinating to anyone interested in how quantum computing is being applied to machine learning; there are, however, some relatively technical parts of the conversation that might be best-suited to folks who already have some familiarity with ML.

In this episode, Amira details: 
• What Quantum Computing is, how it’s different from the classical computing that dominates the world today, and where quantum computing excels relative to its classical cousin.
• Key terms such as qubits, quantum entanglement, quantum data and quantum memory.
• Where Quantum ML shows promise today and where it might in the coming years.
• How to get started in Quantum ML research yourself.
• Today’s leading software libraries for Quantum ML.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.

Successful AI Projects and AI Startups

This week, the rockstar Greg Coquillo fills us in on how to get a return on investment in A.I. projects and A.I. start-ups. He also introduces Quantum Machine Learning.

In addition, through responding to audience questions, Greg details:
• Element AI's maturity framework for A.I. businesses
• How A.I. startup success comes from understanding your long-term business strategy while iterating tactically
• How machines typically are much faster than people but tend to be less accurate

(Thanks to Bernard, Serg, Kenneth, Nikolay, and Yousef for the questions!)

Greg is LinkedIn's current "Top Voice for A.I. and Data Science". When he's not sharing succinct summaries of both technically-oriented and commercially-oriented A.I. developments with his LinkedIn followers, Greg's a technology manager at Amazon's global HQ in Seattle. Originally from Haiti, Greg obtained his degrees in industrial engineering and engineering management from the University of Florida before settling into a series of management-level process-engineering roles.

Listen or watch here.