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 …

From intuition to AI: evolution of small molecule representations in drug discovery

M McGibbon, S Shave, J Dong, Y Gao… - Briefings in …, 2024‏ - academic.oup.com
Within drug discovery, the goal of AI scientists and cheminformaticians is to help identify
molecular starting points that will develop into safe and efficacious drugs while reducing …

Quantum fuzzy neural network for multimodal sentiment and sarcasm detection

P Tiwari, L Zhang, Z Qu, G Muhammad - Information Fusion, 2024‏ - Elsevier
Sentiment and sarcasm detection in social media contribute to assessing social opinion
trends. Over the years, most artificial intelligence (AI) methods have relied on real values to …

QNMF: A quantum neural network based multimodal fusion system for intelligent diagnosis

Z Qu, Y Li, P Tiwari - Information Fusion, 2023‏ - Elsevier
Abstract The Internet of Medical Things (IoMT) has emerged as a significant research area in
the medical field, enabling the transmission of various types of data to the cloud for analysis …

Quantum machine learning on near-term quantum devices: Current state of supervised and unsupervised techniques for real-world applications

Y Gujju, A Matsuo, R Raymond - Physical Review Applied, 2024‏ - APS
The past decade has witnessed significant advancements in quantum hardware,
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …

Navigating with chemometrics and machine learning in chemistry

PB Joshi - Artificial Intelligence Review, 2023‏ - Springer
Chemometrics and machine learning are artificial intelligence-based methods stirring a
transformative change in chemistry. Organic synthesis, drug discovery and analytical …

Recent advances in quantum computing for drug discovery and development

G Kumar, S Yadav, A Mukherjee, V Hassija… - IEEE …, 2024‏ - ieeexplore.ieee.org
Preserving human health is of utmost importance, and unrestricted availability of
medications is essential for overall wellness. Pharmaceuticals, which consist of a wide …

Quantum utility–definition and assessment of a practical quantum advantage

N Herrmann, D Arya, MW Doherty… - 2023 IEEE …, 2023‏ - ieeexplore.ieee.org
Several benchmarks have been proposed to holistically measure quantum computing
performance. While some have focused on the end user's perspective (eg, in application …

Quantum machine learning predicting ADME-Tox properties in drug discovery

AS Bhatia, MK Saggi, S Kais - Journal of Chemical Information …, 2023‏ - ACS Publications
In the drug discovery paradigm, the evaluation of absorption, distribution, metabolism, and
excretion (ADME) and toxicity properties of new chemical entities is one of the most critical …

A practitioner's guide to quantum algorithms for optimisation problems

BCB Symons, D Galvin, E Sahin… - Journal of Physics A …, 2023‏ - iopscience.iop.org
Quantum computing is gaining popularity across a wide range of scientific disciplines due to
its potential to solve long-standing computational problems that are considered intractable …