Overview
This course aims to introduce learners to the quantum application era enabled by cloud computing. The learning outcomes include understanding the accessibility of quantum computers through the cloud, the significance of quantum computing, and the development of quantum applications. The course teaches about quantum processors, quantum machine language, scaling, sampling, and various applications in industries like automotive, machine learning, aerospace, and finance. The teaching method involves a presentation by an industry expert discussing the quantum application development ecosystem and providing insights on how developers can start coding on quantum computers. The intended audience for this course includes developers, students, and researchers interested in quantum computing and its practical applications.
Syllabus
Intro
Overview
Access to Quantum Computers
Why Quantum Computing
Quantum Computer
Quantum Processor
Quantum Machine Language
Quantum Scaling
Sampling
Applications
Customers
Volkswagen example
Material simulations
Ocean
Jupiter Notebooks
GitHub
Community Forums
Help Center
Getting Started Documentation
Network X
DWave Binary CSP
Constraints
Taught by
GOTO Conferences