About This Course

Course Description

This course, Quantum Computing 2: Hardware, is the second in a series dedicated to the comprehensive exploration of quantum computing. This installment delves into various quantum computing platforms, focusing on the realization of fundamental quantum phenomena, the architectures of quantum bits (qubits) across different materials, and the challenges and error sources associated with these platforms.

What Students Will Learn

• Understanding the operational principles and challenges of superconducting quantum platforms.
• About atomic or trapped-ion quantum platforms and their unique characteristics.
• The functioning and integration of spin-based quantum platforms within quantum information systems.

Prerequisites or Skills Necessary

Students are expected to have completed Quantum Computing 1: Fundamentals or possess a solid foundation in quantum computing principles, including gate-based quantum computing, quantum errors and their correction, and an understanding of adiabatic computing and NISQ-era applications.

A background in undergraduate-level linear algebra, differential equations, physics, and chemistry is also essential.

Course Coverage

• Definition and manipulation of qubits across different material platforms.
• Interconnection of qubits to form larger quantum systems.
• Evaluation of the sources of errors in quantum computing platforms.
• Detailed analysis of superconductor-based, atom/ion traps-based, and spin-based quantum platforms.

Who This Course Is For

This course is designed for engineering students, natural sciences students, and professionals interested in the development and application of quantum information processing technologies.

Application of Learned Skills in The Real World

Skills acquired from this course will be invaluable in the emerging fields of quantum technology. Learners can pursue careers in quantum computing research, contribute to the development of new quantum-based technologies, and enhance existing systems with advanced quantum theories and methodologies.

Syllabus

Module 1: Introduction to Quantum Computing Hardware

• Overview of quantum bits: From theory to real-world platforms
• Comparison of different quantum computing platforms

Module 2: Deep Dive into Superconducting Qubits

• Design principles and operational challenges
• Real-world applications and limitations

Module 3: Exploring Atom/Ion Trap Technologies

• Basics of atom/ion trapping for quantum computation
• Integration of trapped ion methods into larger systems

Module 4: Spin-based Quantum Computing

• Understanding spin qubits and their manipulation
• Case studies of spin-based platforms