Speaker
Description
Quantum computers have the potential to efficiently tackle problems that grow exponentially in complexity on classical computers. In the context of simulating physical systems, they may help reduce the problems related to the rapid expansion of Hilbert space with increasing particle number and handle highly entangled states more effectively.
In this contribution, we explore prospects for using quantum computers for nuclear structure problems. We present some applications of a low-depth variational quantum algorithm [1] to solve problems in nuclear structure, including the preparation of ground and excited states within the nuclear shell model approach. Here, we implement a new qubit-mapping strategy for the Variational Quantum Eigensolver (VQE) in nuclear shell-model calculations, in which each Slater determinant (SD) is encoded into a single qubit state, rather than mapping qubits to individual single-particle states.
References:
[1] C. Sarma, and P. D. Stevenson, Discov. Quantum Sci. 2, 6 (2026).