About Programme

Quantum computing is moving rapidly from academic theory into practical experimentation, with growing relevance across domains such as optimisation, cryptography, finance, and advanced computing. As organisations begin to explore quantum advantage, there is increasing demand for professionals who can understand quantum principles, write quantum programs, and experiment with real quantum development tools.

The Quantum Computing Development Programme is designed to develop these capabilities in a coherent, applied manner—bridging the gap between conceptual understanding and practical implementation. 

This programme provides a comprehensive pathway that develops:

  • Foundational knowledge of quantum computation, qubits, and quantum algorithms
  • Practical quantum programming and development techniques
  • Applied skills in using quantum development environments and laboratory tools
  • The ability to analyse and assess near‑term quantum applications and limitations


The programme comprises three courses, delivered in a deliberate sequence to support progressive learning. Completion of each course awards learners with a Certificate of Attainment. Stage 1 courses are designed to be taken concurrently to tightly integrate theoretical concepts with hands‑on quantum programming and development practices. Learners may proceed to stage 2 project course after successfully completing both Stage 1 courses

PROGRAMME STAGEENROLLMENT REQUIREMENTCOURSE
Stage 1 – Foundations and DevelopmentTaken ConcurrentlyQuantum Foundations & Algorithms
Quantum Computing Development Laboratory
Stage 2 – Real-world Applications PracticeAfter successfully completing both Stage 1 coursesQuantum Computing Development: Projects
Skills you’ll gain
Quantum Algorithms
Quantum Foundations
Computation Using Quantum Techniques
End-to-End Quantum Design
VIEW ALL SKILLS

Who Should Attend

This programme is suitable for:

Early‑career technical professionals who want to learn the foundations of quantum computing and progress towards building new expertise in advanced computation.
Mid‑career engineers, developers, and researchers looking to pivot into or expand into quantum computing.
Graduate‑level learners and researchers who need deeper applied knowledge of quantum concepts.
Job functions including software engineers, data scientists, algorithm developers, systems architects, and R&D staff across computing, finance, healthcare, energy, and logistics.
Professionals involved in next‑generation solutions, advanced modelling, or computational innovation across all industries where quantum advantage may emerge.
 
Minimum Entry Requirements
  • A bachelor’s degree (or equivalent qualification) in Computer Science, Engineering, Physics, Mathematics, or a closely related discipline.
  • Familiarity with linear algebra (vectors, matrices, eigenvalues), probability, and basic complex numbers.
  • Basic programming experience in Python or another high-level language.
  • For applicants without a strong quantitative background, evidence of equivalent industry experience in data science, software engineering, or related technical domains may be considered.
  • Participants will need to be enrolled in both Quantum Foundations and Algorithms and Quantum Computing Development: Laboratory at the same time.
  • Certificate of Attainment for Quantum Foundations and Algorithms and Quantum Computing Development: Laboratory as a prerequisite for Quantum Computing Development: Projects

 

Required Softwares
  • Python
  • Jupyter Notebook
  • VSCode

*Please note that these softwares are to be downloaded on your local device.

Learning Outcomes

Upon successful completion of the Quantum Computing Development Programme comprising of three courses, learners will be able to:

  • Explain fundamental concepts in quantum computing, including qubits, superposition, entanglement, and measurement
  • Analyse and implement key quantum algorithms and computational models
  • Develop, simulate, and test quantum programs using contemporary quantum development frameworks
  • Apply theoretical quantum principles through structured development and laboratory experimentation
  • Evaluate the feasibility, limitations, and potential applications of near‑term quantum computing
  • Integrate conceptual understanding with hands‑on practice to support continued learning or professional application in quantum technologies

Teaching Team

David Sanan
Dr David Sanan

Assistant Professor, Singapore Institute of Technology

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Vivek Balachandran
Dr Vivek Balachandran

Associate Professor, Infocomm Technology, Singapore Institute of Technology

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Chandrashekar Radhakrishnan
Dr R. Chandrashekar

Assistant Research Scientist, NYU Shanghai

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Chetan Waghmare, Ph.D.
Dr Chetan Waghmare

Head of Education Outreach – Quantum Computing, Accelequant

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Course Details

Learning Pathway

This pathway ensures learners move steadily from conceptual grounding, to practical development, and finally to applied experimentation.

Learners are required to enrol concurrently in Quantum Foundations & Algorithms and Quantum Computing Development: Laboratory. Successful completion of both courses is required before proceeding to the Quantum Computing Development: Projects.

Quantum Computing Development Programme Pathway

Learning Hours Overview

 

Quantum Foundations & AlgorithmsQuantum Computing Development: LaboratoryQuantum Computing Development: Projects

Total Learning Hours

60 hours60 hours60 hours

Classroom Facilitated Training

6 hours6 hours6 hours

Live Online Sessions

18 hours18 hours18 hours

Self‑paced Online Content

32 hours32 hours32 hours

Online Assessment

4 hours4 hours4 hours

 

Certificate and Assessment

For each of the courses, a Certificate of Attainment will be issued to participants who:

  • Attend at least 75% of the course
  • Undertake and pass non-credit bearing assessment during the course

Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.

Fees, Subsidies & Course Applications

Please refer to individual course pages for details on fees, applicable subsidies, course run and to proceed with applications:

For Organisations
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