Improving generalization and trainability of quantum eigensolvers via graph neural encoding
Determining the ground state of a many-body Hamiltonian is a central problem across physics, chemistry, and combinatorial optimization, yet it is often classically intractable due to the exponential growth of Hilbert space with system size. Even on fault-tolerant quantum computers, quantum algorithm...
Na minha lista:
| Principais autores: | , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IOP Publishing
2026-01-01
|
| coleção: | Machine Learning: Science and Technology |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1088/2632-2153/ae7eee |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|