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Course Outline
Introduction
Quantum Information Theory
- The uncertainty theory
- Superimposition and entanglement
- Subatomic particles
Overview of Classic Computers
- Bits
- Binary systems
- Transistors
Quantum Computing
- Topological codes
- Circuit QED
- Quibits
IBM Quantum Experiences and Python Frameworks
- Modules and processes used in quantum computing
- Quantum circuit simulations
- Circuit composer
- Qiskit Notebooks
Preparing the Development Environment
- Installing and configuring Anaconda
- Installing and configuring pip and Python packages
- Installing Qiskit
- Configuring IBM Quantum Experience
- Configuring the IDE as the project manager
- Setting up a version control center (GitHub)
Building QER Circuits in Circuit Composer
- Applying gates
- Measuring quibits
- Saving and running the QER Circuits
Coding QER Circuits in Qiskit Notebooks
- Implementing a noisy simulation
- Coding a noisy circuit
- Implementing a quantum circuit for Quantum Fourier Transform on 4 quibits
- Creating a basic algorithm in a quantum circuit
- Coding a quantum teleport circuit
Testing the Cirquits
- Running the QER circuits on a real IBM quantum device
- Analyzing the displayed outcomes
Summary and Conclusion
Requirements
- An understanding of Python programming
Audience
- Computer scientists
14 Hours
Delivery Options
Private Group Training
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- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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