Quantum Computing Development: Projects (Synchronous & Asynchronous e-Learning)

Training Provider: SINGAPORE INSTITUTE OF TECHNOLOGY
Course Reference: TGS-2026061384
S$1,980
Original: S$6,600
Save S$4,620

About This Course

Quantum computing is transitioning from theoretical promise to industrial reality, with major players like International Business Machines Corporation (IBM), Google, and Alibaba racing toward fault-tolerant architectures. Governments and corporations are investing billions into quantum Research and Development (R&D), while the workforce gap for quantum-skilled developers is widening.

This theory-focused course equips participants with the foundational principles behind quantum algorithms, architectures, and applications. Participants will explore why classical computing struggles with optimisation, simulation, and cryptography at scale—and how quantum approaches overcome these challenges. The course also covers emerging trends, cloud-based quantum platforms, and the skills needed to bridge the gap between conceptual understanding and practical implementation.

What You'll Learn

Quantum Project Development

• Define, plan and execute a quantum-computing project by working collaboratively, coordinating roles, milestones and resources.

• Integrate quantum-computing theory with practical skills.

• Communicate technical findings effectively by using clear written reports and concise oral or visual presentations.

Entry Requirements

• Applicants are required to have completed Quantum Foundations and Algorithms (Classroom, Synchronous & Asynchronous) [TGS- 2026061385].

• Applicants are required to have completed Quantum Computing Development: Laboratory (Classroom & Asynchronous e-Learning) [TGS-2025061176].

• 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.

Course Details

Duration 60 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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