Ground State Energy of He molecule Using a Four-Qubit Photonic Processor with the Variational Quantum Eigensolver

• URL: http://arxiv.org/abs/2504.07568v2
• Date: Sat, 12 Apr 2025 12:23:11 GMT
• Title: Ground State Energy of He molecule Using a Four-Qubit Photonic Processor with the Variational Quantum Eigensolver
• Authors: Badie Ghavami, Forouzan Mirmasoudi,
• Abstract summary: We have explored the quantum processor application to compute the He molecule ground state energy.<n>Results show a significant improvement in accuracy compared to classical computational methods.<n>This work highlights the potential of quantum processors in the fields of quantum chemistry, computational physics, and data science.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: To understand the properties and interactions of materials, and determining the ground state energies is one of the important challenges in quantum chemistry, materials science, and quantum mechanics, where quantum computing can play an important role for studying the properties of materials. In this study, we have explored the quantum processor application to compute the He molecule ground state energy which utilizes the Variational Quantum Eigensolver (VQE) algorithm. In here, we have implemented VQE on a state-of-the-art quantum processor, optimizing a parameterized quantum circuit to minimize the energy expectation value of the He molecule's Hamiltonian on the four qubits processor. The obtained results of this work show a significant improvement in accuracy compared to classical computational methods, such as Hartree-Fock and density functional theory, which demonstrate the compute potential of quantum algorithms in quantum many-body problems. Thus, these results demonstrate the advantages of quantum computing in achieving high accuracy in simulations of molecular and material properties, and pave the way for future applications in more complex systems. This work highlights the potential of quantum processors in the fields of quantum chemistry, computational physics, and data science.

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