Quantum Researcher

• Exploring various quantum machine learning algorithms, addressing fundamental challenges, and benchmarking models to identify potential quantum advantages.
• Area of Interest: Quantum Algorithms, Quantum Error Correction Codes

Technical Skills:

• Programming Languages: Python, C, C++
• Libraries: Pytorch, stim-simulator, PennyLane, numpy, matplotlib, scikit-learn, pandas, tkinter
• Software: MATLAB, OptiSystem, TINA, MS Excel, MS Word, MS PowerPoint
• Tools: Qiskit-Quantum Computation, LaTeX, gnuplot

Education

• M.Tech. Optoelectronics and Optical Communication, India Insititute of Technology, Delhi (2021 - 2023)
• M.Sc. Physics, Department of Physics and Astrophysics, University of Delhi (2017 - 2019)
• B.Sc. (Hons.) Physics, Kirori Mal College, University of Delhi (2014 - 2017)

Work Experience

• Researcher-II @ Fujitsu Research Of India (July 2024 - Present)
• Researcher-I @ Fujitsu Research of India (August 2023 - June 2024)
• Teaching Assistant, IIT Delhi Certifcation in Quantum Computing & Machine Learning Course (2022 - 2023)