Cloud Quantum Computing Essentials

Cloud Quantum Computing Essentials

English | MP4 | AVC 1280Ă—720 | AAC 48KHz 2ch | 2h 4m | 476 MB

Cloud-based quantum computing uses uploaded quantum software that can then be run in the same way other types of cloud computing services can be deployed. This course covers when and how to use cloud quantum services for implementing quantum accelerations for your applications. Instructor Lynn Langit helps you understand why you should consider using cloud quantum services, and under which conditions they are recommended and not recommended. Understand the true cost of deployment and management of cloud-based quantum services from AWS, Azure, IBM, and other vendors. Lynn provides instruction for allocating and testing cloud quantum computing services as well as best practices for working with quantum simulators—local as well as cloud-based. This course also includes coverage of cloud quantum library authentication, deployment, and monitoring tips and techniques.

Table of Contents

Introduction
1 Creating solutions with cloud quantum computing
2 Using cloud services
3 What you should know

Cloud Quantum Computing Services Overview
4 Why use cloud quantum computing services
5 Understand key quantum computing concepts
6 How to start using cloud quantum computing services
7 Preview applications using QPUs today

Cloud Quantum Vendors
8 Cloud quantum computing vendor choices
9 Quantum learning libraries
10 Explore IBM OpenQASM and Qiskit
11 Explore Google Cirq
12 Explore Azure Q#
13 Explore AWS Braket

Core Quantum Computing Gates and Operations
14 Quantum NOT gate
15 Quantum superposition with Hadamard (H) gate
16 Quantum entanglement with CNOT gate
17 Quantum amplitude amplification (AA)
18 Quantum Fourier transform (QFT)
19 Quantum phase estimation (PE)

Quantum Algorithms and Applications
20 Quantum random number generator
21 Qubit gate operations detailed for cQASM
22 Cloud quantum Shor’s algorithm Part 1
23 Cloud quantum Shor’s algorithm Part 2

Quantum Machine Learning
24 Cloud quantum computing machine learning basics
25 Explore quantum ML methods Classification
26 Cloud quantum neural networks Hello worlds
27 Cloud quantum neural networks MNIST
28 Review applied cloud quantum computing ML

Conclusion
29 Learning more about cloud quantum computing

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