TY  - JOUR
AU  - Martín-Delgado Alcántara, Miguel Ángel
AU  - Campos Ortiz, Roberto
AU  - Moreno Casares, Pablo Antonio
PY  - 2022
DO  - 10.1088/2058-9565/ac4f2f
UR  - https://hdl.handle.net/20.500.14352/88980
T2  - Quantum Science and Technology
AB  - We develop quantum computational tools to predict the 3D structure of proteins, one of the most important problems in current biochemical research. We explain how to combine recent deep learning advances with the well known technique of quantum walks...
LA  - eng
M2  - 025013
PB  - IOP Science
KW  - Quantum walks
KW  - Protein structure prediction
KW  - Metropolis Algorithms
KW  - Deep leerning
KW  - Quantum simulation
KW  - Quantum metropolis
KW  - Quantum advantage
TI  - QFold: quantum walks and deep learning to solve protein folding
TY  - journal article
VL  - 7
ER  -