2026
Master’s thesis
Alice & Bob
Spurious modes in superconducting resonators
During my Master’s thesis at Alice & Bob, I explored the effects of spurious modes on superconducting resonators. I built models, fitting methods, and design-automation tools to study circuits and compare simulations with experimental measurements.
I also maintained research code and technical documentation while working with chip-design, simulation, and experimental teams.
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Paris, France
2025 – 2026
Semester project
Aarhus University
Ba+ ion coherence
Modelled Rabi oscillations and noise in a driven barium-ion system, and compared continuous dynamical-decoupling predictions with ion-trap data.
Using Python, I solved optical Bloch equations for detuning jitter and Rabi-frequency noise, and explored dressed-state and phase-modulated driving approaches.
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Aarhus, Denmark
2025
Semester project
Chalmers University
Flux-tunable resonator noise
Developed data-acquisition and post-processing scripts for flux-tunable resonators, and worked with homodyne readout and dilution-fridge experiments.
The project included assembling a homodyne readout setup and characterising the noise response of the resonators.
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Gothenburg, Sweden
2023 – 2024
CQuERE, TCG CREST
Travelling salesman problem
Worked on a quantum algorithm for the Hamiltonian-cycle formulation of the travelling salesman problem, including circuit verification and runtime analysis.
The work used quantum phase estimation and the quantum Fourier transform, and led to a joint publication in Quantum Information & Computation.
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Kolkata, India
2022 – 2023
Bachelor’s thesis
Qulabs
Universal blind quantum computing simulator
Built a simulator for measurement-based quantum computing using cluster states, Qiskit, dynamic circuits, and OpenQASM 3.
I benchmarked it with quantum gates and common algorithms, and explored a path towards running the protocol on real quantum hardware.
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India
BMW quantum computing challenges
Explored an annealer-based QUBO approach for linear systems and benchmarked D-Wave annealers for large sparse matrices.
I compared runtime, minimum energy, solution quality, and error for different encodings, including sparse matrices up to 3100 × 3100.
India