Research Experience
Analyzing Performance of Quantum Error Correcting Codes in 2G Quantum Repeater
Guide: Dr. Christian Deppe
TU Braunschweig, Germany
As part of the QR.X project, I am developing an algorithm to analyze the performance of quantum error-correcting codes, focusing on the second generation of quantum repeaters. I utilize Pennylane to implement these codes, selecting the optimal code for specific scenarios and identifying parameters in the repeater that can be fine-tuned for enhanced performance.
Investigating the Claims of "Grover’s Algorithm Offers no Quantum Advantage"
Guide: Wolfram Research
Waltham, USA
Implemented the 3 qubit procedure for a single-target element search problem (3-SAT), comparing performance with Grover’s algorithm with Concurrence measurement at each step. Monitored rank trend in the Matrix Product State within the oracle. Additionally, extended the Algorithm (QiGA) for up to 5 qubits in Mathematica.
Document published in Wolfram Community Posts as part of Wolfram Summer School.
Mean Arrival Time Calculation using Wigner Phase Space Distribution
Guide: Prof. Dipankar Home
Bose Institute, Kolkata, India
Developed a method to quantitatively probe the quantum-classical transition for arrival time distributions. Calculated the probability current density using a semi-classical approach, estimating the mean arrival time for both Gaussian and non-Gaussian systems traveling specific distances in space. Utilized Mathematica to perform calculations of phase space distributions, to obtain accurate results.
Computing Leggett-Garg Inequality with Harmonic Oscillator State
Guide: Prof. Dipankar Home
Bose Institute, Kolkata, India
Gained a deep understanding of the significance of Bell Inequality's analogue, focusing on correlations of measurements on a system at different times. Numerically approximated integral joint probability terms in the Leggett-Garg Inequality using Mathematica, employing the Trapezoidal rule and Monte Carlo methods for precise calculations.
Solving the Schrödinger Equation Using Discrete Variable Representation
Guide: Dr. P. Balanarayan
IISER Mohali, India
Developed a Python program to calculate and visualize the probability density of a particle in a general one-dimensional potential, utilizing Discrete Variable Representation.
Education
Bachelor's and Master's Integrated Degree in Science
Indian Institute of Science Education and Research, Mohali, India
Acquiring fundamental knowledge in Quantum Computing and Quantum Information, Quantum Foundations, Linear Algebra, Probability and more Practical experience through internships and projects.
Senior Secondary Education
Deeksha Center for Learning, Bangalore, India
Acquired a solid foundation in basic sciences and mathematics. Through focused coursework and practical application, I developed a strong understanding of key concepts in physics, chemistry, biology, and mathematics. This education provided me with the analytical skills and problem-solving abilities necessary to approach complex challenges.
Other Projects and Experiences
Poster Presentation on QEC in Quantum Repeaters
Presented a poster on the performance of stabilizer codes in second-generation quantum repeaters under coherent and incoherent noise models at EACN conference 2024.
Spin-Charge Separation Using Quantum Circuits
Closely reproduce Google Quantum AI's results on spin-charge separation in Fermi-Hubbard model using Cirq and Pennylane as a part of a Term Project.
Poster Presentation on Project Investigating QiGA
Presented a poster on my project to participants at the Wolfram Summer School 2023.
Qiskit Global Summer School on QML
Completed a two-week intensive course from IBM Quantum with a perfect score. Developed QAOA for real-world problems using Qiskit. Tackled various sources of errors in quantum circuits.
Reading Project on Noisy Quantum Channels
Studied a protocol for storing and retrieving quantum information in an optical cavity, protecting it from decoherence by using a decoherence-free subspace.
Skills
Languages
QC Frameworks
Extracurriculars
- Contributed to organizing an Open Science Day for underprivileged children at IISER Mohali.
- Conducted Physics Pictionary for the students of IISER Mohali as part of the Physics club's flagship event week.
- Led a visual demonstration of the Monty Hall Problem for high school students during IISER Mohali's Foundation Day event.
- Organized a murder mystery hunt for the Literary Club at IISER Mohali.