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Lecture 6.2 - Quantum Feature Spaces and Kernels 

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All notes are available for download over on the site under "Suggested Links": qiskit.org/tex... Quantum Feature Spaces and Kernels
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Lecturer: Kristan Temme
Lecture Notes and Labs:
The Qiskit Global Summer School 2021 was a two-week intensive summer school designed to empower the next generation of quantum researchers and developers with the skills and know-how to explore quantum applications on their own. This second-annual course, made up of twenty lectures, five applied lab exercises, hands-on mentorship, and live Q&A sessions, focused on developing hands-on experience and understanding of quantum machine learning.
#Qiskit #QuantumMachineLearning #QGSS21

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8 окт 2024

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Комментарии : 4   
@ayeshakawakil845
@ayeshakawakil845 Год назад
Now this was awesome lecture and clarified all my doubts that I previously had in last lecture
@italoalbertoferrante7767
@italoalbertoferrante7767 2 года назад
Hi! I have a question, is there a theorical reason to prefer a feature map over another one for a given variational model?
@chetanpandey8722
@chetanpandey8722 Год назад
Why he mentioned that the trace of the observable is always zero?
@shahinulshakib2009
@shahinulshakib2009 9 месяцев назад
His handwriting ....
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