B.Tech. Computer Science and Engineering – Specialization in Quantum AI

The program combines computer science, artificial intelligence, quantum computing and computational mathematics to explore emerging quantum-enabled technologies. Students develop foundations in algorithms, linear algebra, probability, quantum information, quantum circuits and machine learning. Practical exposure to quantum programming frameworks, simulators and suitable quantum computing platforms supports experimentation with quantum algorithms and hybrid quantum-classical approaches. Graduates are prepared for further study, research and emerging opportunities in quantum technologies and intelligent computing.

PEO 1: Ability to solve diverse and complex computer science and engineering problems across a broad range of domains.
PEO 2: Pursue a career in the field of computer science and engineering.
PEO 3: Pursue higher education and/or professional development courses for life-long learning.
PEO 4: Support community building activities to improve the quality of life.

PO1: Engineering Knowledge – Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to solve complex engineering problems.
PO2: Problem Analysis – Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3: Design/Development of Solutions – Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health, safety, cultural, societal, and environmental factors.
PO4: Conduct Investigations of Complex Problems – Use research-based knowledge and methods including design of experiments, analysis, interpretation of data, and synthesis of information to provide valid conclusions.
PO5: Modern Tool Usage – Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO6: The Engineer and Society – Apply reasoning informed by contextual knowledge to Assess societal, health, safety, legal, and cultural issues for sustainable development and the consequent responsibilities relevant to the professional engineering practice.
PO7: Ethics – Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
PO8: Individual and Team Work – Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO9: Communication – Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports, design documentation, make effective presentations, and give and receive clear instructions.
PO10: Project Management and Finance – Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO11: Life-long Learning – Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PSO1 – Apply modern software technologies in Computer Science, Artificial Intelligence and Machine Learning to develop effective solutions.
PSO2 – Formulate real-world problems and design efficient, innovative and scalable software solutions.