Speaker
Description
We study the deuteron model, consisting of a proton and a neutron, by employing a Quantum Annealer to compute the binding energy. Quantum Annealing, as performed by D-wave's quantum computers, is an advanced quantum computing technique designed to solve complex optimization problems. It leverages quantum fluctuations to efficiently identify the global minimum of a specific function. In our research, we translate the Hamiltonian of the deuteron model into a QUBO (Quadratic Unconstrained Binary Optimization) problem. This formulation enables us to fully exploit the quantum annealer's capabilities in accurately determining the ground state energy configurations. By adopting this innovative approach, we aim to highlight the significant potential that quantum computing holds in addressing and solving intricate many-body systems. This work not only advances the application of quantum computing in nuclear physics but also contributes to the broader exploration of quantum techniques for solving fundamental physical problems.