Abstract
In this tech-savvy era, as new technologies are developed every day by researchers and scientists, this also paves way to discover replacements to classical computers. One such advancement is the uncovering of quantum computing. They are brought up to light for the purpose of solving problems and scenarios solved by classical computers but in a more effective way and at least a span of time. The study of quantum computing focuses on finding new ways to compute by utilizing quantum physics phenomena. A qubit, in contrast to a typical computer bit, can be either 0 or 1, or it can be a superposition of both 0 and 1. Quantum theory serving as the base to operate supercomputers is based on two aspects of quantum physics: superposition and entanglement. This quantum computing plays extraordinary roles in different zones of applications such as weather forecasting, logistics, finance, healthcare, and cybersecurity. They are discussed with clarity in this chapter by throwing bright light on these important inevitable topics.
| Original language | English |
|---|---|
| Title of host publication | Quantum Computing and Artificial Intelligence |
| Subtitle of host publication | Training Machine and Deep Learning Algorithms on Quantum Computers |
| Publisher | de Gruyter |
| Pages | 225-242 |
| Number of pages | 18 |
| ISBN (Electronic) | 9783110791402 |
| ISBN (Print) | 9783110791259 |
| DOIs | |
| Publication status | Published - 21-08-2023 |
All Science Journal Classification (ASJC) codes
- General Computer Science
- General Economics,Econometrics and Finance
- General Business,Management and Accounting
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