1929502_9383_12

UChicagoX: Quantum Computer Systems Design I: Intro to Quantum Computation and Programming

185,00 

This course explores the basic design principles of today’s quantum computer systems. In this course, students will learn to work with the IBM Qiskit software tools to write simple quantum programs and execute them on cloud-accessible quantum hardware.

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About this course

This quantum computing course explores the basic design principles of today’s quantum computer systems. In this course, students will learn to work with the IBM Qiskit software tools to write simple programs in Python and execute them on cloud-accessible quantum hardware. Topics covered in this course include:

  • Introduction to systems research in quantum computing
  • Fundamental rules in quantum computing, Bloch Sphere, Feynman Path Sum
  • Sequential and parallel execution of quantum gates, EPR pair, no-cloning theorem, quantum teleportation
  • Medium-size algorithms for NISQ (near-term intermediate scale quantum) computers
  • Quantum processor microarchitecture: classical and quantum control
  • Quantum program compilation and qubit memory management

Keywords: quantum computing, computer science, linear algebra, compiler, circuit optimization, python, qiskit, quantum algorithms, quantum technology, superposition, entanglement, qubit technology, superconducting qubit, transmon qubit, ion-trap qubit, photonic qubit, real quantum computers

At a glance

  • Institution: UChicagoX
  • Subject: Computer Science
  • Level: Advanced
  • Prerequisites:

    Introduction to Quantum Computing for Everyone (Part 1 and Part 2)

  • Associated programs:
    • Professional Certificate in Quantum Computer Systems Design
  • Language: English
  • Video Transcript: English
  • Associated skills:Quantum Gates, Systems Theories, Python (Programming Language), Linear Algebra, Algorithms, Design Elements And Principles, Quantum Technology, Qiskit, Microarchitecture, Computer Science, Quantum Computing

What you’ll learn

  1. Understand design principles of full-stack quantum software design
  2. Understand several examples of quantum system inefficiencies
  3. Learn how to apply several classical software techniques to improve quantum hardware reliability and performance
  4. Learn examples of how classical software techniques can be applied to make quantum systems more reliable and efficient
  5. Learn how to think about the overall design of a quantum system and how the software and hardware work together
  6. Develop unique skills to be more competitive in seeking a position in quantum software development

Additional information

Weeks

4

Language

English

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