1153 applications were received, 289 candidates were shortlisted, 167 candidates appeared for interview.
Interviews checked background in Mathematics, Physics and Computer Science.
Offers to selected candidates will be made only via Common Offer Acceptance Portal (COAP), shared by IISc and IITs.
Proposed start: August 2021
Proposed intake: 20 students
Duration of the program: 2 years (4 semesters), as per IISc rules.
Admission qualification: B.E/B.Tech./equivalent degree in any engineering discipline, or 4-year B.S./M.Sc./equivalent degree in any science discipline. In all cases, a valid GATE score and strong mathematical background will be required.
Entry mode: GATE qualification in Engineering or Science, followed by an interview.
Scholarships and fees: These will be as per IISc rules. http://www.iisc.ac.in/admissions/fees-and-scholarships/
Host department: This multi-disciplinary program will be formally hosted by the Department of Instrumentation and Applied Physics. A program coordination committee (PCC) will look afterf the courses, the admission process and the interviews, and the student performance.
This is a 2-year (4 semesters) course-based multi-disciplinary program, as per IISc rules, including a project at the end.
The program will have the following four thrust areas:
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
Semester 1 (16 credits) Semester 2 (16 credits)
Survey of Quantum Technologies (1:0) Intro to Quantum Measurement and Sensing (3:0)
Math Foundations of Quantum Tech (3:0) Materials for Quantum Tech (3:0)
Phys/Engg Foundations of Quantum Tech (3:0) Student Seminar (Project preparation) (1:0)
Intro to Quantum Computation (3:0) Soft Core I (3:0)j
Intro to Quantum Communication (3:0) Elective I (3:0)
Basic Quantum Tech Lab (1:2) Soft Core Lab I (1:2)
Summer project (recommended)
Semester 3 (16 credits) Semester 4 (16 credits)
Soft Core II (3:0) Elective III (3:0)
Elective II (3:0) Project II (13 credits)
Industry/Entrepreneurship Seminar (1:0)
Soft Core Lab II (3:0)
Project I (6 credits)
Semester 1 (Aug-Dec):
Semester 2 (Jan-Apr)
Semester 3 (Aug-Dec):
Semester 2 (Jan-Apr):
Semester 3 (Aug-Dec):
Any soft core course can be chosen as an elective.
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.
E0 230 (3:0) Computational Methods of Optimization (CSA)
PH 320 (3:0) Condensed Matter Physics II (PH)
NE 213 (3:0) Introduction to Photonics (CeNSE)
NE 312 (3:0) Nonlinear and Ultrafast Photonics (CeNSE)
E3 238 (2:1) Analog VLSI circuits (ECE)
E0 284 (2:1) Digital VLSI circuits (ECE)
IN 229 (3:0) Advanced Instrumentation and Electronics (IAP)
E3 262 (2:1) Electronic Systems Packaging (DESE)
E0 249 (3:0) Approximation Algorithms (CSA)
E0 270 (3:0) Machine Learning (CSA)
E0 304 (3:0) Computational Cognitive Neuroscience (CSA)
PH 359 (3:0) Physics at the Nanoscale (PH)
PH 208 (3:0) Condensed Matter Physics I (PH)
PH 366 (3:0) Physics of Advanced Optical Materials (PH)
E9 207 (3:0) Basics of Signal Processing (DESE)
IN 214 (2:1) Semiconductor Devices and Circuits (IAP)
IN 227 (3:0) Control Systems Design (IAP)
E9 253 (3:1) Neural Networks and Learning Systems (DESE)
QT 201 (AUG) Survey of Quantum Technologies (1:0)
Introductory lectures by IISc faculty on the variety of developments in quantum technology. Augmented by seminars from leading researchers around the world.
NE 215 (AUG) Applied Solid State Physics / QT 203 (AUG) Physics/Engineering Foundations of Quantum Technology (3:0)
Maxwell’s equations in vacuum, insulating and conducting media; Derivation of wave equation; Fresnel equations; Interference, diffraction and polarisation. Principle of thermal equilibrium; Entropy and Boltzmann factor; Black-body radiation. Origin of quantum mechanics; Bohr model of H-atom; Wave-particle duality; Uncertainty principle; Schrodinger equation; Particle in a box and scattering by a barrier; Application to simple harmonic oscillator; Operators and commutation properties; Unitary evolution and Hilbert space; H-atom and quantum numbers. Perturbation theory; Scattering, transitions and Fermi’s Golden rule; Identical particles; Maxwell-Boltzmann, Bose-Einstein and Fermi-Dirac statistics. Solids, crystal structure and reciprocal lattice; Lattice vibrations, phonons and specific heat; Free electrons, electrons in periodic potential and band formation; Transport and optical properties; Metals vs. semiconductors vs. insulators; Quantisation of photons, phonons and excitations.
PH 205 (AUG) Mathematical Methods of Physics / QT 205 (AUG) Mathematical Foundations of Quantum Technology (3:0)
Linear vector spaces; Linear operators and matrices; Systems of linear equations; Eigenvalues and eigenvectors; Classical orthogonal polynomials. Linear ordinary differential equations; Exact and series methods of solution; Special functions; 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. Elements of group theory; Discrete and continuous groups.
QT 207 (AUG) Introduction to Quantum Computation (3:0)
Axiomatic quantum theory; Quantum states, observables, measurement and
evolution; Qubits versus classical bits; Spin-half systems and photon
polarizations; Pure and mixed states; Density matrices; 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 factorisation.
QT 209 (AUG) Introduction to Quantum Communications and Cryptography (3:0)
Digital communication; Communication channels; Information and entropy; Shannon’s theorems; Quantum communication, dense coding and teleportation; von Neumann entropy and quantum channel capacity; General quantum evolution and superoperators; Errors and error correction codes; Stabilizer formalism; Cryptography and one-time pad; Public and private key cryptography; Quantum key distribution; Quantum cryptography. Geometrical and wave optics; Quantisation of the electromagnetic field; Photon number states; Coherent states; Squeezing and beam-splitters.