विधियों की तुलना करें

	बॉर्न-ओपेनहाइमर सन्निकटन	वैरिएशनल क्वांटम आइजेनसाॅल्वर
क्षेत्र	क्वांटम कंप्यूटिंग	क्वांटम कंप्यूटिंग
परिवार	Machine learning	Machine learning
उद्भव वर्ष	1927	2014
प्रवर्तक	Max Born and Julius Robert Oppenheimer	Alberto Peruzzo
प्रकार	Fundamental approximation	Hybrid quantum-classical algorithm
मौलिक स्रोत	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.
उपनाम	BO approximation, clamped nuclei	VQE, hybrid quantum-classical
संबंधित	3	4
सारांश	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.