Towards quantum-enabled cell-centric therapeutics
Abstract
In recent years, there has been tremendous progress in the development of quantum computing hardware, algorithms and services leading to the expectation that in the near future quantum computers will be capable of performing simulations for natural science applications, operations research, and machine learning at scales mostly inaccessible to classical computers. Whereas the impact of quantum computing has already started to be recognized in fields such as cryptanalysis, natural science simulations, and optimization among others, very little is known about the full potential of quantum computing simulations and machine learning in the realm of healthcare and life science (HCLS). Herein, we discuss the transformational changes we expect from the use of quantum computation for HCLS research, more specifically in the field of cell-centric therapeutics. Moreover, we identify and elaborate open problems in cell engineering, tissue modeling, perturbation modeling, and bio-topology while discussing candidate quantum algorithms for research on these topics and their potential advantages over classical computational approaches.
Cite
@article{arxiv.2307.05734,
title = {Towards quantum-enabled cell-centric therapeutics},
author = {Saugata Basu and Jannis Born and Aritra Bose and Sara Capponi and Dimitra Chalkia and Timothy A Chan and Hakan Doga and Frederik F. Flother and Gad Getz and Mark Goldsmith and Tanvi Gujarati and Aldo Guzman-Saenz and Dimitrios Iliopoulos and Gavin O. Jones and Stefan Knecht and Dhiraj Madan and Sabrina Maniscalco and Nicola Mariella and Joseph A. Morrone and Khadijeh Najafi and Pushpak Pati and Daniel Platt and Maria Anna Rapsomaniki and Anupama Ray and Kahn Rhrissorrakrai and Omar Shehab and Ivano Tavernelli and Meltem Tolunay and Filippo Utro and Stefan Woerner and Sergiy Zhuk and Jeannette M. Garcia and Laxmi Parida},
journal= {arXiv preprint arXiv:2307.05734},
year = {2023}
}
Comments
6 figures