Abstract
Stochastic processes are fundamental in describing biological phenomena and instrumental for modeling cellular dynamics for bioengineering applications. Stochastic processes are analyzed using Monte-Carlo simulations, which are computationally intensive. We have developed a quantum representation of a biological stochastic process using P. putida NBUS12 polyhydroxylalkanoate (PHA) biosynthesis as a case study, and established a framework towards utilizing the power of quantum computing to simulate biological phenomena.
| Original language | English |
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| Publication status | Presented - 2024 |
| Event | Quantum Computing and Artificial Intelligence Applications Workshop - Copenhagen, Denmark Duration: 6 May 2024 → 8 May 2024 |
Conference
| Conference | Quantum Computing and Artificial Intelligence Applications Workshop |
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| Place | Denmark |
| City | Copenhagen |
| Period | 6/05/24 → 8/05/24 |
Funding
This work is supported by a General Research Fund funded by Research Grants Council, Hong Kong (GRF/RGC 17208121) and a University Grants Committee Research Matching Grant Scheme (UGC-RMGS), Hong Kong.
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