YoVDO

Quantum Neural Networks: Design and Training for Quantum Learning Tasks

Offered By: Simons Institute via YouTube

Tags

Quantum Machine Learning Courses Quantum Computing Courses Fault Tolerance Courses Quantum Neural Networks Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore dissipative quantum neural networks in this 31-minute lecture by Kerstin Beer from Macquarie University. Delve into the design of quantum neural networks for fully quantum learning tasks, a crucial challenge in the era of quantum technology. Learn how these networks function in a feed-forward manner, representing a true quantum equivalent to classical neural networks and capable of universal quantum computation. Discover the training process using fidelity as a cost function and examine the benchmarking for learning unknown unitary operations. Gain insights into the potential of quantum machine learning and its applications in near-term quantum computers, including fault tolerance, benchmarking, quantum advantage, and quantum algorithms.

Syllabus

Quantum neural networks


Taught by

Simons Institute

Related Courses

Cloud Quantum Computing Essentials
LinkedIn Learning
Quantum Machine Learning (with IBM Quantum Research)
openHPI
A Classical Algorithm Framework for Dequantizing Quantum Machine Learning
Simons Institute via YouTube
Quantum Machine Learning- Prospects and Challenges
Simons Institute via YouTube
Sampling-Based Sublinear Low-Rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning
Association for Computing Machinery (ACM) via YouTube