Quantum Computing and Theoretical Chemistry (QCTC) Lab.
Department of Chemistry, Yonsei University
Department of Quantum Information, Yonsei University
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Joonsuk Huh's Research Group
We develop efficient quantum algorithms for computational chemistry, biology, and many-body problems.
Quantum Algorithms
Quantum Algorithms
We develop quantum algorithms that outperform classical approaches for solving computational problems and simulating a wide range of quantum systems. Rather than restricting ourselves to qubit-based systems, we explore various models including bosonic systems and boson-qubit hybrid architectures.
Classical - Quantum Hybrid Algorithms
Classical - Quantum Hybrid Algorithms
Our research focuses on hybrid algorithms that unite the strengths of classical and quantum computing. These methods are designed to improve optimization workflows through effective problem formulation, decomposition, and solution strategies.
Quantum Computing Application
Quantum Computing Application
Bioinformatics
Our research in bioinformatics includes codon optimization, multiple sequence alignment, and comparative sequence analysis. We aim to build computational methods that improve the interpretation, organization, and optimization of biological sequence information.
Drug Discovery & Drug Design
Using quantum algorithms to tackle complex optimization problems in molecular discovery, structure-based design, and fragment-guided drug development.
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