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

Location: US

Company: University of Chicago

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

Understand design principles of full-stack quantum software design

Understand several examples of quantum system inefficiencies

Learn how to apply several classical software techniques to improve quantum hardware reliability and performance

Learn examples of how classical software techniques can be applied to make quantum systems more reliable and efficient

Learn how to think about the overall design of a quantum system and how the software and hardware work together

Develop unique skills to be more competitive in seeking a position in quantum software development

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.

Duration: 4 weeks

Skills:
- Algorithms
- Computer Science
- Design Elements And Principles
- Linear Algebra
- Microarchitecture
- Python (Programming Language)
- Qiskit
- Quantum Computing
- Quantum Gates
- Quantum Technology
- Systems Theories

Curriculum:
- Understand design principles of full-stack quantum software design
- Understand several examples of quantum system inefficiencies
- Learn how to apply several classical software techniques to improve quantum hardware reliability and performance
- Learn examples of how classical software techniques can be applied to make quantum systems more reliable and efficient
- Learn how to think about the overall design of a quantum system and how the software and hardware work together

- Develop unique skills to be more competitive in seeking a position in quantum software development