What I Do

Starting with binging YouTube videos, I am now an aspiring researcher capable of discovering novel results in quantum physics. Nothing beats a sip of coffee and some scratches to the head figuring out what my result implies, as well as the occasional eureka moments that follow.

I enjoy working on a wide range of problems in quantum physics. It is hard to choose between theoretical, computational, and experimental work—everything is equally interesting. However, I do have a preference for realistic results and would love to delve deeper into applied aspects of quantum systems.

Wouldn't it be cool if another quantum revolution were to happen in my lifetime? Wouldn't it be cool if I contributed to realizing it? At the moment, I look forward to what I will stumble upon next.

Educations

University of Indonesia

Bachelor of Science (S.Si.), GPA: 3.88/4.00

Thesis: Quantum Optimal Control for Decoherence in a Nitrogen-Vacancy Center Qubit

Experiences

Research Assistanship at BRIN - Indonesia National Research and Innovation Agency

Research Assistant at the Research Center for Quantum Physics, working on various topics: quantum optics, quantum nonnlinear systems, quantum computing, neural networks, nonlinear optics, etc.

Research Visit: Pohang University of Science and Technology

A short visit to the Hybrid Quantum Device Lab where I learned to use COMSOL Multiphysics® to model a superconducting microwave cavity coupled to a vacuum gap capacitor and was guided to observe experimental apparatuses for quantum physics.

Publications

Transient Dynamics of the Quantum Stuart-Landau Oscillator

arXiv:2406.12337

Efficiency of optimal control for noisy spin qubits in diamond

arXiv:2411.05078

Efficient Classical Computation of Single-Qubit Marginal Measurement Probabilities to Simulate Certain Classes of Quantum Algorithms

arXiv:2411.06822

pyBoLaNO: A Python symbolic package for normal ordering involving bosonic ladder operators

Comput. Phys. Commun. 313. 109622 (2025) / arXiv:2501.01603

Projects

pyBoLaNO

Symbolically evaluate normal ordering involving bosonic ladder operators with SymPy.

(GitHub Repository)

moyalstar

Symbolically evaluate Moyal ☆-products with SymPy.

(GitHub Repository)