A silicon photonic chip with four integrated photon-pair sources executed a variational quantum eigensolver for the Hydrogen molecule and a variational quantum factoring algorithm for 35, at room temperature.
Use VQE to calculate the ground energy of hydrogen molecules on IBM Quantum
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
Quantum computing has emerged as a promising technology for solving problems that are intractable for classical computers. In this study, we introduce quantum computing and implement the Variational Quantum Eigensolver (VQE) algorithm using Qiskit on the IBM Quantum platform to calculate the ground state energy of a hydrogen molecule. We provide a theoretical framework of quantum mechanics, qubits, quantum gates, and the VQE algorithm. Our implementation process is described, and we simulate the results. Additionally, experiments are conducted on the IBM Quantum platform, and the results are analyzed. Our fi ndings demonstrate that VQE can effi ciently calculate molecular properties with high accuracy. However, limitations and challenges in scaling the algorithm for larger molecules are also identifi ed. This work contributes to the growing body of research on quantum computing and highlights the potential applications of VQE for real-world problem-solving.
citation-role summary
baseline 1
citation-polarity summary
fields
quant-ph 1years
2025 1verdicts
CONDITIONAL 1roles
baseline 1polarities
baseline 1representative citing papers
citing papers explorer
-
Four-Qubit Variational Algorithms in Silicon Photonics with Integrated Entangled Photon Sources
A silicon photonic chip with four integrated photon-pair sources executed a variational quantum eigensolver for the Hydrogen molecule and a variational quantum factoring algorithm for 35, at room temperature.