Porovnat metody

	Bornova-Oppenheimerova aproximace	Variační kvantový eigensolver
Obor	Kvantové výpočty	Kvantové výpočty
Rodina	Machine learning	Machine learning
Rok vzniku	1927	2014
Tvůrce	Max Born and Julius Robert Oppenheimer	Alberto Peruzzo
Typ	Fundamental approximation	Hybrid quantum-classical algorithm
Původní zdroj	Born, M., Oppenheimer, J. R. (1927). Zur Quantentheorie der Moleküle. Annalen der Physik, 84, 457–484.	Peruzzo, A., McClean, J., Shadbolt, P., et al. (2014). A variational eigenvalue solver on a photonic quantum processor. Nature Communications, 5, 4213.
Další názvy	BO approximation, clamped nuclei	VQE, hybrid quantum-classical
Příbuzné	3	4
Shrnutí	The Born-Oppenheimer (BO) Approximation is a foundational assumption in molecular quantum mechanics that nuclei can be treated as fixed while solving for electrons, and vice versa. Introduced by Born and Oppenheimer in 1927, this separation reduces the complex many-body electronic-nuclear problem to a sequence of simpler problems, enabling nearly all molecular calculations.	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.