Quantum Computer Systems Design
Offered By: The University of Chicago via edX
Course Description
Overview
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.
Textbook: Quantum Computer Systems (QCS). Ding and Chong.
(Link)
Topics covered in this course include:
- Introduction to systems research in quantum computing
- Fundamental rules in quantum computing, Bloch Sphere, Feynmann Path Sum
- Sequential and parallel execution of gates, EPR pair, No-cloning, teleportation
- Medium-size algorithms for NISQ computers
- Microarchitecture: classical and quantum control
- Program compilation and memory management
Syllabus
Course 1: Quantum Computer Systems Design I: Intro to Quantum Computation and Programming
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.
Course 2: Quantum Computer Systems Design II: Principles of Quantum Architecture
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.
Course 3: Quantum Computer Systems Design III: Working with Noisy Systems
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.
Courses
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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 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 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
Taught by
Casey Duckering, Fred Chong, Yongshan Ding and Jonathan Baker
Tags
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