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LinkedIn Learning

Cloud Quantum Computing Essentials

via LinkedIn Learning

Overview

Learn the essentials of cloud quantum computing, why you should consider using cloud quantum services, and under which conditions they are recommended and not recommended.

Syllabus

Introduction
  • Creating solutions with cloud quantum computing
  • Using cloud services
  • What you should know
1. Cloud Quantum Computing Services Overview
  • Why use cloud quantum computing services
  • Understand key quantum computing concepts
  • How to start using cloud quantum computing services
  • Preview applications using QPUs today
2. Cloud Quantum Vendors
  • Cloud quantum computing vendor choices
  • Quantum learning libraries
  • Explore IBM OpenQASM and Qiskit
  • Explore Google Cirq
  • Explore Azure Q#
  • Explore AWS Braket
3. Core Quantum Computing Gates and Operations
  • Quantum NOT gate
  • Quantum superposition with Hadamard (H) gate
  • Quantum entanglement with CNOT gate
  • Quantum amplitude amplification (AA)
  • Quantum Fourier transform (QFT)
  • Quantum phase estimation (PE)
4. Quantum Algorithms and Applications
  • Quantum random number generator
  • Qubit gate operations detailed for cQASM
  • Cloud quantum Shor's algorithm: Part 1
  • Cloud quantum Shor's algorithm: Part 2
5. Quantum Machine Learning
  • Cloud quantum computing machine learning basics
  • Explore quantum ML methods: Classification
  • Cloud quantum neural networks: Hello worlds
  • Cloud quantum neural networks: MNIST
  • Review applied cloud quantum computing ML
Conclusion
  • Learning more about cloud quantum computing

Taught by

Lynn Langit

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4.7 rating at LinkedIn Learning based on 147 ratings

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