Cohort 1

Founder

Guillermo Gonzalez

You will implement Quantum SVMs, Quantum neural networks, Quantum feature maps, and hybrid quantum-classical models in Qiskit 2.3.

Quantum Machine Learning Scientist

Abdus Salam International Centre for Theoretical Physics

Penn State College of Engineering

Ayass BioScience

Qiskit

LUMS

Dr. Muhammad Faryad

Applied Quantum Machine Learning using Qiskit

Dr. Faryad

Quantum Machine Learning Scientist, Trainer and Consultant, IBM-certified Qiskit developer

<h3>Why I enrolled</h3>
<p class="p2-tall"><strong>I want to learn a bit more about quantum machine learning in order to expand my researech outside of QCNNs and possibly devise some new algorithms specifically for quantum computers.</strong></p>
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    <h3>A breakthrough moment</h3><p class="p2-tall">Well for sure the 'aha' moment for this course form me is the lesson presented on April 14. Although I have been working with the Qiskit QCNN, your basic build up of the straightforward example was highly beneficial.  Walking through the code helped tremendously.</p>

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<h3>What I’ll apply</h3>
<p class="p2-tall">I plan to run each of the algorithm programs that were discussed and shared by the Professor. I also want to go back and re-review the buildup to some of the problems as they were explained in great detail. </p>
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Certificate

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