Program Overview
The Professional Diploma in Quantum Engineering is a part-time graduate program that equips students with a comprehensive understanding of quantum technology and computing. It combines lectures, labs, and online resources, focusing on both computational and physical aspects of the field. The program prepares graduates for careers in the rapidly growing quantum computing and engineering industry, with potential roles in research, development, and consulting.
Program Outline
Degree Overview:
The Professional Diploma in Quantum Engineering is a part-time graduate program designed to equip students with a comprehensive understanding of quantum technology and computing. The program focuses on both the computational and physical aspects of quantum engineering, allowing students to specialize in either area.
Objectives:
- Gain a thorough understanding of the current state-of-the-art in quantum technology and quantum computing.
- Develop the ability to design, model, and execute simple quantum circuits and systems.
- Comprehend the underlying physics and mathematical principles of quantum technology and computing.
- Cultivate independent learning skills and effective communication abilities within the field of quantum computing and engineering.
Outline:
The program consists of one mandatory and three optional five-credit modules.
Structure:
- Mandatory Module: Quantum Computing
- Optional Modules:
- High Performance Computation (ICHEC)
- Data Science in Python
- Foundation of Quantum Mechanics
- Machine Learning with Python
- Applied Quantum Mechanics
- Introduction to Quantum Computing
- Maths of Quantum Computation
Course Schedule:
- Lectures are held in the mornings on weekdays.
- Labs are conducted in the afternoons.
- Remote lectures and labs are available for selected modules.
- Some attendance (up to 4 hours per week) may be required on campus for modules without online options.
- In-person exams may be required.
Module Descriptions:
- Quantum Computing: Covers basic and advanced concepts of quantum computing, combining fundamental theory, code, and algorithm examples with the physics of qubits.
- High Performance Computation (ICHEC): Focuses on high-performance computing techniques relevant to quantum engineering.
- Data Science in Python: Introduces data science concepts and techniques using the Python programming language.
- Foundation of Quantum Mechanics: Provides a foundational understanding of quantum mechanics.
- Machine Learning with Python: Explores machine learning algorithms and applications using Python.
- Applied Quantum Mechanics: Applies quantum mechanics principles to practical problems in quantum engineering.
- Maths of Quantum Computation: Delves into the mathematical foundations of quantum computation.
Teaching:
- Teaching Methods: Blended learning approach combining lectures, labs, and online resources.
- Faculty: Led by Associate Professor Elena Blokhina, a recognized expert in the field.
Careers:
- Potential Career Paths:
- Quantum computing and engineering roles in industry.
- Research positions in academia.
- Consulting opportunities in quantum technology.
- Opportunities:
- The program prepares students for careers in a rapidly growing field with high demand.
- Graduates are well-positioned to work with leading companies like IBM, Google, Microsoft, Intel, Analog Devices, and Cadence.
Other:
- The program is suitable for individuals with prior experience or employment in computer science, computer engineering, and electronic engineering who seek to expand their expertise in quantum computation and technologies.
- The program emphasizes the importance of quantum science and technology in advancing fields like communications, security, modeling, simulations, and sensing.
