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Mrinal D.

Mrinal D.

Quantum cryptography and quantum algorithm research projects (reading/implementation/optimization) with faculty advisors

India flagRourkela, India

Key Skills

Software

No software listed

Top Subject Matter

Quantum computing
quantum algorithms
quantum cryptography

Top Data Types

Computer Code ProgrammingComputer Code Programming

Top Task Types

No task types listed

Freelancer Overview

Quantum cryptography and quantum algorithm research projects (reading/implementation/optimization) with faculty advisors. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Python, Qiskit, and Quantum Algorithms. Education includes Integrated Master of Science, National Institute of Technology, Rourkela (2026) and High School, St. Anthony’s School, Kurseong (2021). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Computer Programming and Coding.

Labeling Experience

VQE research project to find the ground state of XXZ spin chain

Used a Variational Quantum Eigensolver (VQE) approach to compute ground-state properties of an XXZ spin chain. The work required setting up problem encodings, iteratively running optimization loops, and verifying whether the algorithm reached expected ground-state behavior. This reflects hands-on training in machine-learning-like optimization workflows applied to quantum simulation. • Configured VQE for the XXZ spin chain ground-state search. • Managed iterative parameter optimization cycles and monitored convergence. • Evaluated outcomes and adjusted settings based on experimental results. • Repeated simulation runs to improve stability and accuracy of findings.

2025 - 2025

Quantum Approximate Optimizer (QAOA) research with faculty advisor

Developed and tested quantum optimization methods by implementing and comparing different optimizers for a target Ising model. The activity focused on preparing experimental configurations, executing code runs, and analyzing how optimizer choices affected results. This constitutes algorithm training through systematic experimentation and performance evaluation. • Implemented a Quantum Approximate Optimizer workflow for the Ising model. • Compared multiple optimizer settings to assess convergence/performance behavior. • Tuned experiment parameters and validated outputs against expected behavior. • Documented findings to support further algorithm research and iteration.

2024 - 2024

Quantum cryptography and quantum algorithm research projects (reading/implementation/optimization) with faculty advisors

Conducted research-focused quantum algorithm implementations as part of course/research projects in collaboration with faculty. The work involved preparing computational inputs, running algorithmic experiments, and evaluating performance for quantum search and optimization tasks. These activities served as practical AI/algorithm training through iterative coding, validation, and benchmarking. • Implemented a Modified Grover algorithm for multi-variable input and faster performance. • Worked on a Quantum Cryptography project involving algorithmic exploration and experiment design. • Conducted optimizer studies for quantum optimization workflows on an Ising model. • Used quantum algorithm pipelines to test hypotheses and measure outcomes.

2023 - 2023

Education

N

National Institute of Technology, Rourkela

Integrated Master of Science, Physics

Integrated Master of Science
2022 - 2026
S

St. Anthony’s School, Kurseong

High School, N/A

High School
2021 - 2021

Work History

N

National Institute of Technology, Rourkela

Quantum Simulation Research Project Student

Rourkela
2025 - 2025
N

National Institute of Technology, Rourkela

Quantum Approximate Optimization Research Project Student

Rourkela
2024 - 2024