3 papers
quant-ph2025
Learning Hamiltonians for Oracle-Query Quantum State Preparation
Mehdi Ramezani, Sina Asadiyan Zargar, Sadegh Salami +2
We propose a Hamiltonian-based quantum state preparation method implemented via a shallow parametrized quantum circuit. The approach learns the parameters of a diagonal Hamiltonian…
quant-ph2025
Parallel Data Processing in Quantum Machine Learning
Sina Asadiyan Zargar, Mehdi Ramezani, Abolfazl Bahrampour +2
We propose a Quantum Machine Learning (QML) framework that applies the core design principle of quantum algorithms-superposition, oracle, and interference-to accelerate training. B…
quant-ph2024
Reducing the Number of Qubits from to to Solve the Traveling Salesman Problem with Quantum Computers: A Proposal for Demonstrating Quantum Supremacy in the NISQ Era
Mehdi Ramezani, Sadegh Salami, Mehdi Shokhmkar +2
In our pursuit of quantum supremacy during the NISQ era, this research introduces a novel approach rooted in the Quantum Approximate Optimization Algorithm (QAOA) framework to addr…