Salīdzināt metodes

	Variācijas kvantu eigensektors	Blīvuma funkcionāļu teorija
Nozare	Kvantu skaitļošana	Kvantu skaitļošana
Saime	Machine learning	Machine learning
Izcelsmes gads	2014	1965
Autors	Alberto Peruzzo	Walter Kohn
Tips	Hybrid quantum-classical algorithm	Electronic structure method
Pirmavots	Peruzzo, A., McClean, J., Shadbolt, P., et al. (2014). A variational eigenvalue solver on a photonic quantum processor. Nature Communications, 5, 4213.	Kohn, W., Sham, L. J. (1965). Self-consistent equations including exchange and correlation effects. Physical Review, 140, A1133–A1138.
Citi nosaukumi	VQE, hybrid quantum-classical	DFT, Kohn-Sham equations
Saistītās	4	4
Kopsavilkums	The Variational Quantum Eigensolver (VQE) is a hybrid quantum-classical algorithm designed to find the lowest eigenvalue (ground state energy) of a quantum Hamiltonian. Introduced by Peruzzo et al. in 2014, it exploits the variational principle to combine the power of quantum circuits with classical optimization to solve chemistry and materials science problems on near-term quantum devices.	Density Functional Theory (DFT) is a computational method for determining the properties of materials and molecules by modeling the ground state electron density. Developed by Walter Kohn and Lu Jeu Sham in the 1960s, DFT reduces the complexity of quantum chemistry from tracking individual electron coordinates to optimizing the total electron density, enabling efficient simulations of large molecular and condensed-matter systems.