Usporedite metode
Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.
| Born-Oppenheimerova aproksimacija× | Variational Quantum Eigensolver× | |
|---|---|---|
| Područje | Kvantno računarstvo | Kvantno računarstvo |
| Obitelj | Machine learning | Machine learning |
| Godina nastanka≠ | 1927 | 2014 |
| Tvorac≠ | Max Born and Julius Robert Oppenheimer | Alberto Peruzzo |
| Vrsta≠ | Fundamental approximation | Hybrid quantum-classical algorithm |
| Temeljni izvor≠ | Born, M., Oppenheimer, J. R. (1927). Zur Quantentheorie der Moleküle. Annalen der Physik, 84, 457–484. DOI ↗ | Peruzzo, A., McClean, J., Shadbolt, P., et al. (2014). A variational eigenvalue solver on a photonic quantum processor. Nature Communications, 5, 4213. DOI ↗ |
| Drugi nazivi | BO approximation, clamped nuclei | VQE, hybrid quantum-classical |
| Srodne≠ | 3 | 4 |
| Sažetak≠ | 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. |
| ScholarGateSkup podataka ↗ |
|
|