Quantum Computer Systems Design III: Working with Noisy Systems (edX)

Quantum Computer Systems Design III: Working with Noisy Systems (edX)
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Quantum Computer Systems Design III: Working with Noisy Systems (edX)
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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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.

This course is part of the Quantum Computer Systems Design Professional Certificate.


What you'll learn

- 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


Syllabus


Textbooks

(Required) Quantum Computer Systems (QCS). Ding and Chong.

(Open) Learn Quantum Computation using Qiskit. IBM Qiskit.

(Optional) Quantum Computation and Quantum Information (QCQI). Nielsen and Chuang.
Schedule
Module 1 (Intro to Quantum Computation and Programming)

Lec 00 - Quantum Computing Systems – Current State-of-Play

Lec 01 - From bits to qubits

Lec 02 - QASM and logic gate decomposition

Lec 03 - Basic quantum programs
Module 2 (Principles of Quantum Architecture)

Lec 04 - Program compilation and synthesis

Lec 05 - Program compilation and synthesis II

Lec 06 - Gate scheduling and parallelism

Lec 07 - Qubit mapping and memory management
Module 3 (Working with Noisy Systems)

Lec 08 - NISQ algorithms

Lec 19 - Noisy quantum systems

Lec 10 - Noise-aware quantum compiling


Prerequisites:

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

Module I (Intro to Quantum Computation and Programming)

Module II (Principles of Quantum Architecture)



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