Quantum Machine Learning - QML

Quantum Machine Learning - QML

Most of us have heard of AI and Quantum computing. But, have we heard of Quantum Machine Learning (QML)?

Quantum machine learning is the collaboration between quantum computing and AI that’s going to change complete computing future.

Quantum Machine Learning

When data points are projected in higher and higher dimensions, it is hard for classical computers to deal with such large computations. Even if the classical computer can handle it, it would take huge computation time.

Simply put, sometimes, classical machine learning algorithms are too extensive for classical computers.

Luckily, quantum computers have the computational power to handle these taxing algorithms. They utilize powerful laws like superposition and entanglement to solve problems faster than their classical counterparts.

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In fact, a study by IBM and MIT found that SVMs are, mathematically, very similar to what goes on inside a quantum computer.

Quantum machine learning allows scientists to take the classical ML algorithm and translate it into a quantum circuit so it can be run efficiently on a quantum computer.

Applications

Quantum machine learning is an extremely new field with so much more growth. But, we can already start to predict how it’s going to impact our future!

Here are some of the areas QML will disrupt:

  • Understanding nanoparticles
  • The creation of new materials through molecular and atomic maps
  • Molecular modeling to discover new drugs and medical research
  • Understanding the deeper makeup of the human body
  • Enhanced pattern recognition and classification
  • Furthering space exploration
  • Creating complete connected security through merging with IoT and blockchain

With more amazing developments happening every day, QML will solve more problems than we could’ve ever imagined.

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More articles by Syed Makhdoom Ahmed Ashraf , PMP®, CSM®, ITIL®

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