CV

Education

• PhD in Physics with specialization in Quantum Information Science, Duke University, Durham, 2028 (expected)
• Master of Technology in Engineering Physics, Indian Institute of Technology, Varanasi, 2023
• Bachelor of Technology (Honors) in Engineering Physics, Indian Institute of Technology, Varanasi, 2023

Research Experience

Dynamics of Open-Quantum Systems | Aug 2021 – Nov 2022 Advisor: Dr. Rajeev Singh, Indian Institute of Technology, Varanasi

• Studied Open-Quantum Systems, which are strongly coupled with the environment, and their dynamics.
• Implemented the non-Markovian dynamics of an unbiased spin-boson model using the time-evolving matrix product operator (TEMPO) algorithm.

Quantum Quench in Spin-Chains | June 2020 – July 2021 Advisor: Dr. Rajeev Singh, Indian Institute of Technology, Varanasi

• Studied quantum quench in a Heisenberg spin-chain and carried out computations using state-of-the-art tensor network techniques like the Density Matrix Renormalization Group (DMRG) and Time-Evolving Block Decimation (TEBD).
• Worked out the spin, energy transport, and entanglement dynamics for these systems.

Photon Transport Through 1-D Open Quantum System | Jan 2020 – May 2020 Advisor: Dr. Rajeev Singh, Indian Institute of Technology, Varanasi

• Studied photon transport through an atomic medium modeled by a one-dimensional interacting spin chain coupled to photon baths at the boundaries.
• Used the quantum Langevin equation (QLE) to work out the transient and steady-state transport properties of a monochromatic laser light passing through the atomic medium.

Quantum Phase Transition in Sawtooth Spin-Chain Systems | May 2022 – July 2022 Advisor: Dr. Subhro Bhattacharjee, International Centre for Theoretical Sciences, Bengaluru

• Investigated a spin-1/2 sawtooth chain with competing Heisenberg antiferromagnetic interactions between their nearest neighbors.
• Utilized the DMRG technique to characterize the ground-state phase diagram in the spin-1/2 sawtooth chain.

Quantum Phase Transition in Sawtooth Spin-Chain Systems | May 2021 – Jan 2022 Advisor: Dr. Ranjan Modak, Indian Institute of Technology, Tirupati

• Studied a geometric quench on a system of fermions in a one-dimensional lattice in the presence of a quasiperiodic potential using the DMRG and TEBD techniques.
• Used features like site occupation and the spreading of entanglement with time to characterize the localization-delocalization transition.

Projects & Summer Schools

QOSF’s Quantum Mentorship Program 2022 | Nov 2022 – March 2023 Mentor: Manuel Rudolph, EPFL, Switzerland

• Acted as a participant in cohort 6 of the mentorship program, focusing on Quantum Boltzmann Machines.
• Explored different ways to encode the probability distribution onto thermal states, including tensor network techniques.

IBM’s Qiskit Global Summer School on Quantum Simulation | July 18–29, 2022

• Simulated an XXX spin model on IBM’s quantum computer and evolved it in time by implementing trotterization of various gates.
• Made targeted efforts to improve the fidelity of the final quantum state.

IBM’s Qiskit Global Summer School on Quantum Machine Learning | July 12–23, 2021

• Explored common errors in quantum computing, including gate errors and SPAM errors.
• Learned key concepts in quantum machine learning, such as data encoding schemes, variational circuits as classifiers, quantum kernels, and the challenge of barren plateaus.