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Programs
B. Tech. in Computer Science and Engineering (Quantum Computing & Technologies)
Overview
The program is built on a simple premise: quantum computing cannot be meaningfully understood or engineered through theory and simulation alone. It therefore combines rigorous training in mathematics, physics, and computation with direct interaction with multi-qubit quantum hardware, enabling students to engage with the actual behaviour and limitations of quantum systems.
As students progress, they move from foundational concepts to qubit architectures, quantum algorithms, and error-prone implementations, alongside continuous engagement in structured research. This integration of theory, systems, and experimentation develops the ability to work on real quantum problems rather than only studying established models.
The program is designed to address a central constraint in the field: the shortage of engineers trained to work with quantum systems under real conditions. By integrating theory, hardware access, and sustained research, it prepares students to understand and build quantum systems as they exist in practice.
Duration
4 years (8 semesters), including elective projects, internships, and research components
Commence of the course
Course Duration
4 Years
Mode of Study
Eligibility
Passed 10+2 or equivalent from a recognized Board / Council with a minimum of 50% marks (45% for SC/ST) in Physics & Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Technical Vocational Subjects.
Valid score in JEE (Main / Advanced), AUQET (Alliance University QUASAR Entrance Test) or Karnataka State-Level entrance examinations.
Key Features
Access to 8-qubit quantum systems for executing circuits and analyzing measurement outcomes.
Study of noise, decoherence, and error rates through observed behaviour in physical quantum systems.
Implementation of quantum algorithms under hardware constraints such as circuit depth and gate fidelity.
Coverage of quantum error correction methods in near-term, non-fault-tolerant architectures.
Introduction to post-quantum cryptographic approaches and their computational implications.
Exposure to hybrid quantum-classical workflows, including variational and optimisation techniques.
Structured research leading to technical documentation and publication-oriented outcomes.
Curriculum Architecture
| Semester | Stage | Key Competencies |
|---|---|---|
| Semester 1-2 | Foundation | Calculus, linear algebra, probability, scientific computing, cognitive frameworks, data structures |
| Semester 3-4 | Systems Core | Electronic devices, systems, AI for mathematical embedded engineering, foundations quantum systems |
| Semester 5-6 | Quantum Core | Quantum mechanics, qubit models, algorithms, information theory, hardware architectures, PQC, error correction |
| Semester 7-8 | Advanced and Capstone | Quantum communications, decoherence, photonics, HPC, programme electives, Grand Capstone (12 credits) |
Program Structure
Career Pathways and Graduate Outcomes
Industry Roles
- Machine Learning Engineer
- AI Product / Research Scientist
- Data Scientist at top tech firms
- MLOps / AI Infrastructure Engineer
- Generative AI Developer and
- Entrepreneur AI Safety and Ethics Researcher
Sectors and Applications
- AI-native product companies (India and global)
- Healthcare AI and biotech firms
- Financial services and fintech
- Autonomous systems companies
- Government AI initiatives and think-tanks
- Doctoral / research programs in AI
Contact for Admissions
ALLIANCE UNIVERSITY - QUANTUM AI SCHOOL FOR ADVANCED RESEARCH
SR. No. 2/1C, Near Infosys Drive Gate No.6, Electronic City Phase 1, Bangalore 560 100
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Call Us+91 74118 08485
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Email Usauquasar@alliance.edu.in
