TY  - JOUR
AU  - Diaz-Pier, Sandra
AU  - Carloni, Paolo
TI  - Impact of quantum and neuromorphic computing on biomolecular simulations: Current status and perspectives
JO  - Current opinion in structural biology
VL  - 87
SN  - 0959-440X
CY  - Amsterdam [u.a.]
PB  - Elsevier
M1  - FZJ-2024-05083
SP  - 102817
PY  - 2024
AB  - New high-performance computing architectures are becoming operative, in addition to exascale computers. Quantum computers (QC) solve optimization problems with unprecedented efficiency and speed, while neuromorphic hardware (NMH) simulates neural network dynamics. Albeit, at the moment, both find no practical use in all atom biomolecular simulations, QC might be exploited in the not-too-far future to simulate systems for which electronic degrees of freedom play a key and intricate role for biological function, whereas NMH might accelerate molecular dynamics simulations with low energy consumption. Machine learning and artificial intelligence algorithms running on NMH and QC could assist in the analysis of data and speed up research. If these implementations are successful, modular supercomputing could further dramatically enhance the overall computing capacity by combining highly optimized software tools into workflows, linking these architectures to exascale computers.
LB  - PUB:(DE-HGF)16
C6  - 38795562
UR  - <Go to ISI:>//WOS:001246972300001
DO  - DOI:10.1016/j.sbi.2024.102817
UR  - https://juser.fz-juelich.de/record/1029374
ER  -