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School of Interwoven Arts and Sciences (SIAS) 

Quantum Information Science Special Track

Overview

Quantum science is transforming our understanding of information, computation, communication, and measurement. By harnessing the unique properties of quantum systems, such as superposition, entanglement, and interference, researchers are developing new technologies that have the potential to revolutionise fields ranging from computing and cryptography to sensing and materials science.

The Quantum Information Science Special Track introduces students to the foundations and applications of this rapidly advancing field. Combining perspectives from physics, mathematics, computer science, chemistry, and related disciplines, the special track provides a rigorous understanding of how information can be represented, processed, and transmitted using quantum systems.

Quantum technologies span several interconnected areas, including quantum computing, quantum communication, and quantum metrology. 

Students will explore the principles of quantum mechanics that underpin these domains, develop an understanding of qubits and quantum computation, study quantum information and communication protocols, and gain exposure to quantum algorithms and the physical systems that enable quantum information processing. The curriculum balances theoretical foundations with opportunities for practical engagement, enabling students to build both conceptual understanding and technical skills.

As governments, research institutions, and technology companies invest heavily in quantum technologies, expertise in quantum information science is becoming increasingly valuable across academia, industry, and the public sector. The Quantum Information Science Special Track equips students with the analytical tools, interdisciplinary perspective, and foundational knowledge required for advanced study, research, and emerging careers in the quantum sciences.

Programme Structure

Total Credits

24

Required Courses (20 credits)
  1. Qubit Mechanics* 
  2. Basics of Quantum Computation 
  3. Basics of Quantum Information and Error Correction
  4. Quantum Algorithms
  5. Quantum Hardware 
  6. Special Lectures delivered by researchers, industry practitioners, and policymakers 
  7. Quantum Programming
 
*Not required for students pursuing Physics or Chemistry as a major or minor.
Elective Courses (4 credits)

Students must complete any two of the following elective courses:

  1. Recent Topics in Quantum Information Processing
  2. Quantum ML
  3. Quantum Radars
  4. Quantum Metrology
  5. Quantum Internet

Guided by the 
finest mentors

Assistant Professor, Physics

Assistant Professor, Psychology and Discipline Coordinator – Psychology

Associate Professor, Physics

Sivakumar

Dean – Research and Professor, Physics

Senior Lecturer, Computer Science

  • Appreciate the historical origins of astronomy across various cultures.
  • Observe the night sky, use sky-mapping tools and software, and identify planets, major stars, and constellations.
  • Use telescopes and cameras to observe and capture images of the night sky.
  • Calculate the motion of planets and satellites.
  • Understand the structures of, and processes within, planets, stars, and galaxies.
  • Analyse data from observatories to determine the composition and properties of astronomical objects.
  • Describe the evolution of the Universe since the Big Bang using the tools of Einstein’s theory of relativity.
  • Recognise the interconnections between the largest scales of the Universe and the smallest scales of subatomic physics.
  • Be familiar with the open questions that are the subject of active research worldwide.
  •  


Selected publications by faculty

  • Kumar, M., Tahir, Y., Daiya, V., Mattaparthi, S., & Shaurya, A. (2026). Congestion-free routing on quantum chips. Physical Review A, 114(1), 012617. 
  • Bhavesh Gupta, Vismay Joshi, Udit Kandpal, Prabha Mandayam, Nicolas Gheeraert, Siddharth Dhomkar V (2025).  Expedited noise spectroscopy of transmon qubits. Advanced Quantum Technologies.   
  • Sengupta, R. Mapping additive recurrent neural networks to quantum neural networks.(2025)  Quantum Information Processing 24, 185.
  • A. Rana, P. Lamba, A. Ghosh, S. Dhomkar, and Rama K. Kamineni (2025). Imaging of microwave magnetic field orientation using continuous-wave experiments on nitrogen-vacancy centers in diamond, J. Phys. D: Appl. Phys. 58, 435302.
  • Meher, N., Pathak, A., and  Sivakumar, S. (2026). Generation of large Fock states from coherent states using Kerr interaction and displacement. Phys. Rev. A, 113, 033704. 

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