Quantum Computing in Healthcare and Medicines

DOI

10.2991/978-94-6463-294-1_21How to use a DOI?

Keywords

Quamtum computing; healthcare; classical physics; qubits; genetic diseases; Grover’s algorithm

Abstract

As compare to the Classical Computer, Quantum Computer are more efficient, accurate and having high-performance quality which makes Quantum Computer to stand different. In Quantum Computer, the basic unit of information is qubits which exist in the superposition state whereas in Classical Computer, the basic unit of information is bits. When bits move from bits to qubits, it may help pharmaceutical research in the healthcare field, including studying how proteins fold, figuring out how molecules such as drugs and enzymes fit together, assessing the strength of interactions between a single biomolecule such as a protein or DNA and its ligand/binding partner such as a drug or inhibitor, and speeding up clinical trials. The idea of personalised treatment is made possible by the incredibly quick DNA sequencing capabilities of a quantum computer. Its efficiency and accuracy can enable the development of novel therapies option against Genetic Diseases. By carefully modelling, it can facilitate the creation of novel treatments and medications. The development of effective imaging systems with improved fine-grained clarity for real-time use by physicians is possible with quantum computers. Quantum computing holds promise for pharmaceutical research and development since it is useful for deciphering and reproducing intricate chemical and biological events.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Chaitali Dhande
AU  - Preenon Bagchi
PY  - 2023
DA  - 2023/11/17
TI  - Quantum Computing in Healthcare and Medicines
BT  - Proceedings of the International Conference on Advances in Nano-Neuro-Bio-Quantum (ICAN 2023)
PB  - Atlantis Press
SP  - 267
EP  - 276
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-294-1_21
DO  - 10.2991/978-94-6463-294-1_21
ID  - Dhande2023
ER  -