UChicagoX: Quantum Computer Systems Design II: Principles of Quantum Architecture
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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.
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)
Module I (Intro to Quantum Computation and Programming)
Associated programs:
Professional Certificate in Quantum Computer Systems Design
Language: English
Video Transcript: English
Associated skills:Linear Algebra, Design Elements And Principles, Quantum Technology, Quantum Gates, Qiskit, Quantum Computing, Systems Theories, Microarchitecture, Computer Science, Python (Programming Language), Algorithms
What You’ll Learn:
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
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