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Future Potential of Quantum Computing and Simulations in Biological Science
Soumen Pal1, Manojit Bhattacharya2, Snehasish Dash1
1School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, 632014, India.
Molecular Biotechnology
|September 17, 2023
Summary
This review explores quantum computing and simulation advancements in biological sciences. It details quantum hardware, algorithms, and future research directions for quantum simulation applications in biology.
Area of Science:
- Biological Sciences
- Quantum Computing
- Quantum Simulation
Background:
- Quantum computing and simulation are rapidly evolving fields with significant potential for biological sciences.
- Understanding the fundamental principles and current applications is crucial for interdisciplinary research.
Purpose of the Study:
- To review recent progress in quantum computing and simulation relevant to biological sciences.
- To elucidate key concepts in quantum computing and simulation techniques.
- To highlight the applications and future prospects of quantum simulation in biology.
Main Methods:
- Review of recent literature on quantum computing and simulation.
- Structured presentation of quantum computing concepts (hardware, qubits, entanglement, logic gates).
- Detailed explanation of quantum simulation (simulators, algorithms, biological applications).
Main Results:
- Comprehensive overview of quantum computing components like qubits, superposition, entanglement, and logic gates.
- Explanation of quantum simulation, including simulators and algorithms.
- Exploration of quantum simulation's current and potential uses in biological science.
Conclusions:
- Quantum computing and simulation offer powerful new tools for biological research.
- Further research is needed to fully leverage quantum simulation in understanding complex biological systems.
- This review provides a roadmap for future researchers in quantum biology.
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