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Home / School of Computational & Physical Sciences / Department of Computational Studies / BCA Quantum Computing
The Quantum Computing programme introduces students to the principles of quantum mechanics applied to computation. Learners explore quantum algorithms, simulation techniques, and emerging applications in machine learning. The course blends foundational theory with practical programming experience, preparing students to contribute to cutting‑edge research and industry innovation.
Learn qubits, quantum gates, quantum circuits, superposition, entanglement, and quantum algorithms through hands-on programming using platforms such as IBM Quantum and Qiskit.
Develop skills in quantum algorithms for optimization, cryptography, machine learning, simulation, and data analysis, with emphasis on real-world computational problems.
Gain practical exposure to hybrid quantum-classical computing, cloud-based quantum platforms, quantum security, quantum communication, and emerging applications across AI, cybersecurity, and scientific computing.
A 3-year BCA programme at the forefront of next-generation quantum computing, quantum algorithms, and hardware-software integration.
Programme Title: Bachelor of Computer Applications (BCA) in Quantum Computing
Specialization: Emerging Technologies & Analytics – Quantum Computing, Quantum Algorithms, Simulation, and Cryptography
Duration: 3 Years (6 Semesters)
Study Mode: Full time
Core Academic Focus Areas: Quantum Mechanics, Linear Algebra, Quantum Algorithms, Qiskit Programming, Quantum Cryptography, and Quantum Simulation
Practical Components: IBM Quantum Ecosystem, Qiskit Platform labs, quantum circuit simulation, hands-on workshops, hackathons, and industry mentorship
Learning Pathway: Foundation → Domain Specialisation → Skill Development → Industry Exposure → Certification → Capstone/Project → Research & Innovation → Career/Entrepreneurship
Comprehensive semester-wise course distribution covering quantum algorithms, Qiskit programming, simulation, and quantum-classical architectures.
Review the academic requirements and minimum aggregate percentage required for admission.
Qualifying Examination: Candidates must have passed Higher Secondary (10+2 / PUC) or equivalent examination from a recognized board, preferably with Mathematics, Physics, or Computer Science.
Minimum Aggregate: A minimum of 40% aggregate marks in the qualifying examination.
Looking for a programme that matches your interests?
Find Programmes by InterestTargeted competencies and practical mastery achieved by graduates throughout their academic journey.
PSO1: Demonstrate knowledge of linear algebra, quantum mechanics principles, quantum algorithms, quantum circuits, and quantum information theory.
PSO2: Simulate and execute quantum algorithms using quantum software development kits and cloud-based quantum processors.
PSO3: Analyze the complexity and speedup of quantum algorithms in comparison to classical computational approaches.
PSO4: Formulate quantum solutions and research frameworks for real-world optimization, cryptography, and scientific computation.
Key strengths, experiential learning, and strategic career advantages offered by the programme.
Quantum computing represents the next frontier in computational science, promising exponential acceleration for complex simulations, optimization problems, material discovery, and advanced cryptography beyond the reach of classical computers.
The BCA in Quantum Computing programme at Kristu Jayanti University offers a pioneering curriculum bridging linear algebra, quantum physics principles, quantum algorithm design, and hands-on programming on cloud-accessible quantum hardware.
Choosing this programme enables students to:
With foundational mathematical rigor and direct access to emerging quantum development toolkits, graduates stand at the forefront of the quantum technology revolution.