Simulating thermodynamic properties of dinuclear metal complexes using Variational Quantum Algorithms
arXiv:2404.06527 · doi:10.1088/1402-4896/ad6ec3
Abstract
In this paper, we investigate the use of variational quantum algorithms for simulating the thermodynamic properties of dinuclear metal complexes. Our study highlights the potential of quantum computing to transform advanced simulations and provide insights into the physical behavior of quantum systems. The results demonstrate the effectiveness of variational quantum algorithms in simulating thermal states and exploring the thermodynamic properties of low-dimensional molecular magnetic systems. The findings from this research contribute to broadening our understanding of quantum systems and pave the way for future advancements in materials science through quantum computing.
Ana Clara das Neves Silva is an undergratuate physics student at the Federal University of Western Bahia
References in corpus (11)
- Quantum Decoherence
- Quantum Computation of Electronic Transitions using a Variational Quantum Eigensolver
- Qubit metrology and decoherence
- A Comparison of Various Classical Optimizers for a Variational Quantum Linear Solver
- Benchmarking of Different Optimizers in the Variational Quantum Algorithms for Applications in Quantum Chemistry
- Quantum approximate optimization via learning-based adaptive optimization
- Quantum Stirling engine based on dinuclear metal complexes
- Evidence for entanglement at high temperatures in an engineered molecular magnet
- Accelerated variational quantum eigensolver with joint Bell measurement
- Signature of Quantum Entanglement in NH4CuPO4.H2O
- Influence of the external pressure on the quantum correlations of molecular magnets