विधियों की तुलना करें

	वैरिएशनल क्वांटम आइजेनसाॅल्वर	घनत्व कार्यात्मक सिद्धांत
क्षेत्र	क्वांटम कंप्यूटिंग	क्वांटम कंप्यूटिंग
परिवार	Machine learning	Machine learning
उद्भव वर्ष	2014	1965
प्रवर्तक	Alberto Peruzzo	Walter Kohn
प्रकार	Hybrid quantum-classical algorithm	Electronic structure method
मौलिक स्रोत	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.
उपनाम	VQE, hybrid quantum-classical	DFT, Kohn-Sham equations
संबंधित	4	4
सारांश	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.