Moe Jalilvand
I have managed and worked on two mini-projects: a "Sudoku-Puzzle-Quantum-Solver" and a "Quantum ROM".

In the first mini-project, I built a quantum-inspired Sudoku solver that encodes the puzzle’s rules into a constraint-based quantum framework. By representing candidate solutions in superposition and using interference to eliminate invalid options, the solver demonstrates how quantum techniques can tackle combinatorial problems. The work provides a simple but effective example of translating a classic logic puzzle into a quantum optimization approach.

In the second mini-project, I explored the design and implementation of a Quantum Read-Only Memory (QROM), a key component for efficiently loading classical data into quantum circuits. The project focused on constructing QROM architectures using controlled operations and statevector-based simulation to evaluate performance without relying on classical registers or the AER backend. I implemented scalable lookup tables, optimized control logic, and demonstrated how QROM enables data access with logarithmic-depth circuits, making it suitable for algorithms requiring structured data retrieval. The results highlight how QROM can significantly reduce qubit overhead and gate complexity compared to naïve data-loading approaches, offering an efficient pathway for practical quantum algorithms that depend on classical-to-quantum data encoding.

Sudoku-Puzzle-Quantum-Solver: https://github.com/MCJ-TVS88/Suduko-Puzzle-Quantum-Solver.git
Quantum ROM: https://github.com/MCJ-TVS88/Quantum-ROM.git