Quantum Computing
Transform business with emerging computational theory, applications and practical skills
Revolutionise business with advanced computational theory
Master emerging technologies and gain practical skills to solve complex problems.
Quantum computing is a rapidly developing field that promises to transform and extend computational capabilities using quantum mechanics. With the construction of quantum computers and access via cloud services now a reality, this module introduces the theory and foundations of quantum computing and its applications.
It also provides practical skills to develop and implement algorithms to solve computational problems. Students will explore the current landscape and future potential of quantum computing, evaluating its impact on various industries, and preparing for its business applications.
An innovative online learning experience
This fully online course combines lectures, seminars, flipped classroom techniques, case study analysis, virtual lab activities, Problem-Based Learning (PBL), peer review, and collaboration. Both formative and summative assessments track your progress.
Formative assessments provide feedback to refine your study approach, while exams, assignments, projects, and exercises measure your knowledge, skills, and competencies. The proctored written test evaluates your understanding of programming in business model development, and a final exam accounts for 50% Continuous assessment and 50% Proctored Exam.
Time commitment
Classroom and demonstrations: 24 hours
Practical work/tutorials: 24 hours
Independent learning: 92 hours
Total: 140 hours
Credit points
5 ECTS
Full course breakdown
Subjects covered:
Quantum Computing is a 5 ECTS module delivered over 4 hours per week for 12 weeks (2 hrs of synchronous class time and 2 hours of asynchronous content to be done in the students). Here’s a schedule of the topics we’ll cover each week:
- Introduction
- Results from the theory of quantum mechanics
- Spin and polarisation
- Measurements/Observables
- Randomness and probability
- Bits and Qubits
- Quantum parallelism and interference
- Linear Vector Spaces, Hilbert Spaces, and Matrix Representations
- Review of linear spaces
- Hilbert spaces
- Dirac <bra|ket> notation
- Operations and operators
- The Bloch Sphere
- Pauli Matrices
- Orthogonal and unitary matrices
- Operations and operators
- Eigenvectors and eigenvalues
- Quantum Circuits
- Logic Gates
- Reversibility
- Multi-qubit Gates
- Diagrammatic representation
- Deutsch’s Algorithm
- Programming for Quantum Computing
- Programming environments
- Language support
- Simulation
- Quantum Computing cloud services
- Coprocessor
- Entanglement
- Entangled states
- Bell’s Inequalities
- Using the CNOT gate
- No Cloning Theorem
- Quantum Teleportation
- Quantum Information Theory
- Elements from the Classical Information Theory
- Information and Entropy
- Quantum Information Processing and Error-Correcting Codes
- Quantum Communications Channels
- Applications
- Quantum Cryptography
- Quantum Key Distribution
- Ekert Protocol
- BB84 Protocol
- Dense coding
- Business / Domain Applications
- Applications of QC in Pharma, Finance, Cybersecurity, Machine Learning, Chemistry, etc.
- Business Strategy & Innovation with QC
- Quantum Fourier Transform
- Fourier Series
- Discrete Fourier Transform
- Quantum Fourier Transform
- Quantum Algorithms
- Deutsch-Josza Algorithm
- Simon’s Algorithm
- Quantum Algorithms
- Grover’s Search Algorithm
- Schor’s Algorithm
- Emerging Topics
- Quantum Hardware
- Quantum Supremacy
- Data Security
- Quantum ML
Learning objectives
This module introduces quantum computing theory and applications, providing practical skills to develop and implement algorithms for solving computational problems. By the end of the course, you’ll not only grasp the essential concepts but also be ready to lead innovative changes in the digital era. Here’s what you’ll achieve:
- Analyse quantum computing principles and their application in solving complex business optimisation problems.
- Critically assess various quantum algorithms for business use cases, such as cryptography and machine learning, and recommend suitable methodologies.
- Design and implement quantum-based solutions (e.g. circuit model of quantum gates) to real-world business problems using quantum programming frameworks.
- Research, evaluate, and communicate technical quantum computing concepts effectively to non-technical stakeholders, emphasising business impact.
Module leader
Grace Herbert, National College of Ireland
Grace draws on a strong background in cybersecurity and computing, alongside extensive experience at the National College of Ireland, to design and lead the development of innovative modules across key emerging technologies. She has led the development of the Cloud Computing and Internet of Things modules and co-developed the Blockchain Technologies and Quantum Computing modules in collaboration with Lorraine Gorimani.
Each module is grounded in critical thinking, technical rigour, and real-world relevance, equipping students with a robust understanding of both foundational principles and strategic applications. Grace is committed to advancing educational innovation and empowering learners with the knowledge and practical skills needed to navigate rapidly evolving digital landscapes.
Unlock new digital opportunities and career paths
This Quantum Computing module is designed for professionals who are keen to understand how quantum technologies could impact their business.
It will appeal to business leaders, innovation managers, IT professionals, and data specialists looking to stay ahead of technological developments and explore future opportunities.
By completing this module, you will gain the knowledge and practical understanding needed to assess the potential of quantum computing in areas such as logistics, cybersecurity, finance, and advanced data analysis. This will help you contribute to strategic decision-making and position you for roles such as innovation lead, digital transformation manager, technology advisor, or research and development specialist within your organisation.
Developing future digital leaders with Digital4Business
This module is part of the EU-funded Digital4Business programme, an online master’s that’s designed to develop future digital leaders. Explore how digital transformation drives innovation and efficiency in business, equipping you with essential skills to thrive and lead in the rapidly evolving digital era.
FAQ
Minimum B2 English proficiency, plus 2 years' work or education in an English-speaking environment. IELTS: 6.0; TOEFL PBT: 600; TOEFL CBT: 200; TOEFL iBT: 100. Alternatively, proficiency may be assessed via a test or interview
Relevant EQF Level 6 qualification required in a relevant field including but not limited to: computer science, IT, engineering, maths, business, or economics. Without this you will have an interview and assessment to evaluate certifications, qualifications or professional experience.
This EU co-funded programme is open to all EU27, EEA, UK and Ukrainian nationals with a passport or valid ID from one of these countries.