408 applications were received, 116 candidates were shortlisted, 59 candidates appeared for interview.
Quantum Technology is a rapidly growing field worldwide. There is a recent push in this direction by the Government of India.
The National Mission on Quantum Technology and Applications (NMQTA) is being set up, and it urgently requires a trained workforce. The central government budget (2020) announced a support of Rs. 8000 crores over five years to this field.
IISc has a vibrant community of researchers working in this field, spanning across both science and engineering faculty, and across many departments.Several faculty members offer courses related to quantum technologies in their individual capacity, and the M.Tech. program will bring them under one umbrella.
The program will train students in quantum technology, for both advanced research and advanced industry. The elective part of the program will equip students to acquire training in allied technology areas as well. The Entrepreneurship Seminar will encourage students to initiate startups in the field and help build a sustainable ecosystem.
408 applications were received, 116 candidates were shortlisted, 59 candidates appeared for interview.
352 applications were received, 132 candidates were shortlisted, 56 candidates appeared for interview.
1153 applications were received, 289 candidates were shortlisted, 167 candidates appeared for interview.
August 2021
20 students
2 years (4 semesters), as per IISc rules.
B.E/B.Tech./equivalent degree in any engineering discipline, or 4year B.S./M.Sc./equivalent degree in any science discipline. In all cases, a valid GATE score and strong mathematical background will be required.
GATE qualification in Engineering or Science, followed by an interview.
AE, BM, BT, CE, CH, CS, CY, EC, EE, GG, NM, IN, MA, ME, MN, MT, PH, PI, XE, ST, GE, DA
This multidisciplinary program will be formally hosted by the Department of Instrumentation and Applied Physics. A program coordination committee (PCC) will look after the courses, the admission process and the interviews, and the student performance.
The students will opt for their area of interest after the first semester of common course work. Depending on their selected areas, they can choose the soft core and elective courses to consolidate their knowledge and expertise.
The courses will also be elective options for the students of the IISc Undergraduate Program.
Total Credits: 64
Project Credits: 20
Hard core Credits: 23
Soft core + Elective Credits: 21
Students are also free to choose electives from the existing IISc courses, based on their interests and employment opportunities, and in consultation with their supervisors.
Instructors (2021): IQTI Faculty, Timings: M 16:0017:00 Instructors (2023): IQTI Faculty, Timings: M/W/F 16:0017:00  Introductory lectures by IISc faculty on the variety of developments in quantum technology. Augmented by seminars from leading researchers around the world. 
Instructors (2021): Akshay Naik, Ambarish Ghosh, Timings: MWF 11:0012:00  Introductory lectures by IISc faculty on the variety of developments in quantum technology. Augmented by seminars from leading researchers around the world. 
Instructor (2023): Kausik Majumdar, Timings: TuTh 10:0011:30  This is a graduatelevel introductory course on the quantum mechanical foundations required to grasp the principles of modern solidstate devices. There is no prerequisite for this course. 
Instructor (2023): Baladitya Suri, Timings: MWF 11:0012:00  The course will provide preliminary introduction to the following topics in mathematics and physics. Elements of number theory; Group theory; Boolean logic, Digital electronics and Computer architecture; Introduction to theoretical computer science—Automata theory, Turing machines; Probability, statistics and error analysis; Introduction to statistical physics; Introduction to quantum optics.

Instructor (2021): Sriram Ramaswamy, Timings: TuTh 08:3010:00  Linear vector spaces; Linear operators and matrices; Systems of linear equations; Eigenvalues and eigenvectors. Linear ordinary differential equations; Exact and series methods of solution; Linear partial differential equations of physics; Separation of variables method of solution. Complex variable theory; Analytic functions; Taylor and Laurent expansions; Classification of singularities; Analytic continuation; Contour integration; Dispersion relations; Fourier and Laplace transforms. Elementary group theory; Discrete and continuous groups.

Instructor (2021): Sriram Ramaswamy, Timings: TuTh 08:3010:00 Instructor (2021): Apoorva Patel, Timings: MWF 12:0013:00  Axiomatic quantum theory; Quantum states, observables, measurement, and evolution; Qubits versus classical bits; Spinhalf systems and photon polarizations; Pure and mixed states; Density matrices; General quantum evolution and superoperators; Quantum correlations; Entanglement and Bell’s theorems; Turing machines and computational complexity; Reversible computation; Universal quantum logic gates and circuits; Quantum algorithms; Database search; Fast Fourier Transform and prime factorization.

Instructor (2021): Sriram Ramaswamy, Timings: TuTh 08:3010:00 Instructors (2021): Apoorva Patel, Asha Bhardwaj, Baladitya Suri, Varun Raghunathan, Timings: TuTh 11:3013:00 Instructors (2023): Apoorva Patel, Asha Bhardwaj, Varun Raghunathan, Timings: TuTh 11:3013:00  Axiomatic quantum theory; Quantum states, observables, measurement, and evolution; Qubits versus classical bits; Spinhalf systems and photon polarizations; Pure and mixed states; Density matrices; General quantum evolution and superoperators; Quantum correlations; Entanglement and Bell’s theorems; Turing machines and computational complexity; Reversible computation; Universal quantum logic gates and circuits; Quantum algorithms; Database search; Fast Fourier Transform and prime factorization.

Instructor (2021): Sriram Ramaswamy, Timings: TuTh 08:3010:00 Instructors (2021): Baladitya Suri, Vibhor Singh, Timings: Weekday afternoons Instructors (2023): Baladitya Suri, Vibhor Singh, Timings: Weekday afternoons  Introduction to RF equipment: VNA, Signal generators, AWGs, Oscilloscopes. Basics of microwave engineering: Impedence, Sparameters. Characterisation of passive RF components: Cables, Terminations, Attenuators, Directional couplers, RF mixers, Filters, Circulators and Isolators. Probability and Statistics: Binomial, Poisson and Gaussian distributions, Fitting of experimental data, Error analysis. Use of Qiskit and QuTiP Python packages for Quantum Computation and Quantum Optics: Simulation of basic quantum Hamiltonians, Dissipative systems, Quantum logic circuits.

Instructor (2022): Baladitya Suri, Timings: MWF 11:0012:00  Introduction to classical measurement; Introduction to quantum mechanics through measurement, the quantum measurement postulate and its consequences, standard quantum limits (SQL); Types of measurements: Direct and indirect measurements, orthogonal, nonorthogonal, quantum nondemolition measurements; Linear measurements and amplification; Beyond the SQL: Parametric amplification; Case studies of measurement: Quantised charge measurement, single photon detection, nondemolition method for photon quadrature measurements etc.; Control of single quantum systems; Introduction to decoherence: Decoherence as measurement by environment, characterising decoherence in qubits; Openloop control and stabilisation of qubit states.

Instructor: Chandni U., Navaneetha Ravichandran, Pavan Nukala, Anshu Pandey, Timings: TuTh 11:3013:00  Recap of basic solidstate physics: Electronic band structure, phonon band structure, electronphonon interactions, electron transport and modeling in nanoscopic devices; Topology and quantum devices: Semiconductor heterostructures, twodimensional electron systems, topological materials, introduction to superconductivity; Correlations and disorder: Electronelectron interactions, Peierls distortion and transition, disorder physics, Anderson localization, quantum devices through correlations, magnetic materials, dielectric materials and ferroelectrics, phase transitions;

Instructor: Apoorva Patel, Timings: MWF 12:0013:00  Algorithms for noisy intermediate scale quantum systems; Variational techniques, approximation methods; Sampling and classification problems, machine learning; Quantum error correction; Stabiliser codes, topological codes; Quantum hardware platforms: NMR, superconducting transmons, atom and ion traps, quantum dots and impurities, quantum photonics.

Instructor: Apoorva Patel, Timings: MWF 12:0013:00  Algorithms for noisy intermediate scale quantum systems; Variational techniques, approximation methods; Sampling and classification problems, machine learning; Quantum error correction; Stabiliser codes, topological codes; Quantum hardware platforms: NMR, superconducting transmons, atom and ion traps, quantum dots and impurities, quantum photonics.

Instructor: Baladitya Suri, Timings: Weekday afternoons  Digital to analog and analog to digital conversion; Noise spectral measurements, Johnson noise, Nyquist noise; Linear amplification, parametric amplification; Design of circuit Quantum Electrodynamics architectures in coplanar and 3D styles; Quantum optics; Simulations of multiqubit architectures using Qiskit and QuTiP; Quantum algorithm simulations; Randomised benchmarking.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.