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AI for next generation computing: Emerging trends and future directions
SS Gill, M Xu, C Ottaviani, P Patros, R Bahsoon… - Internet of Things, 2022 - Elsevier
Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …
outcomes on their own, without the intervention of a human operator. Autonomic computing …
Noisy intermediate-scale quantum algorithms
K Bharti, A Cervera-Lierta, TH Kyaw, T Haug… - Reviews of Modern …, 2022 - APS
A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …
integer factorization and unstructured database search requires millions of qubits with low …
NISQ computing: where are we and where do we go?
JWZ Lau, KH Lim, H Shrotriya, LC Kwek - AAPPS bulletin, 2022 - Springer
In this short review article, we aim to provide physicists not working within the quantum
computing community a hopefully easy-to-read introduction to the state of the art in the field …
computing community a hopefully easy-to-read introduction to the state of the art in the field …
[HTML][HTML] Quantum computing for near-term applications in generative chemistry and drug discovery
Highlights•Drug discovery is time consuming, expensive and experiences increasing
challenges.•Generation of new drug candidates is one of the major challenges.•Quantum …
challenges.•Generation of new drug candidates is one of the major challenges.•Quantum …
The prospects of quantum computing in computational molecular biology
C Outeiral, M Strahm, J Shi, GM Morris… - Wiley …, 2021 - Wiley Online Library
Quantum computers can in principle solve certain problems exponentially more quickly than
their classical counterparts. We have not yet reached the advent of useful quantum …
their classical counterparts. We have not yet reached the advent of useful quantum …
The state of quantum computing applications in health and medicine
FF Flöther - Research Directions: Quantum Technologies, 2023 - cambridge.org
Medicine, including fields in healthcare and life sciences, has seen a flurry of quantum-
related activities and experiments in the last few years (although biology and quantum …
related activities and experiments in the last few years (although biology and quantum …
Quantum machine learning for chemistry and physics
M Sajjan, J Li, R Selvarajan, SH Sureshbabu… - Chemical Society …, 2022 - pubs.rsc.org
Machine learning (ML) has emerged as a formidable force for identifying hidden but
pertinent patterns within a given data set with the objective of subsequent generation of …
pertinent patterns within a given data set with the objective of subsequent generation of …
Digitized counterdiabatic quantum algorithm for protein folding
P Chandarana, NN Hegade, I Montalban, E Solano… - Physical Review …, 2023 - APS
We propose a hybrid classical-quantum digitized counterdiabatic algorithm to tackle the
protein-folding problem on a tetrahedral lattice. Digitized counterdiabatic quantum …
protein-folding problem on a tetrahedral lattice. Digitized counterdiabatic quantum …
Quantum computing for molecular biology
A Baiardi, M Christandl, M Reiher - ChemBioChem, 2023 - Wiley Online Library
Molecular biology and biochemistry interpret microscopic processes in the living world in
terms of molecular structures and their interactions, which are quantum mechanical by their …
terms of molecular structures and their interactions, which are quantum mechanical by their …
Molecular design with automated quantum computing-based deep learning and optimization
A Ajagekar, F You - Npj Computational Materials, 2023 - nature.com
Computer-aided design of novel molecules and compounds is a challenging task that can
be addressed with quantum computing (QC) owing to its notable advances in optimization …
be addressed with quantum computing (QC) owing to its notable advances in optimization …