Quantum Computer Systems Design

The University of Chicago via edX Professional Certificate

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Provider

edX Professional Certificate
Pricing

$600.00
Languages

English
Certificate

Certificate Available
Effort

12 weeks, 8-12 hours a week
Sessions

Self-Paced
Level

Intermediate

Found in

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.

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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

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.
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.
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
0 reviews

View details
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
1 review

View details
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