Professor
Prabhas Chongstitvatana works at Chulalongkorn University's Department
of Computer Engineering. In 1992, he received his Ph.D. from Edinburgh
University's artificial intelligence department in the United Kingdom.
He conducts research in the fields of computer architecture, robotics,
bioinformatics, quantum computing, and evolutionary computation.
He is a senior adviser for the Thai Robotics Society, a senior member of
the Thai Academy of Science and Technology, and a lifelong member of the
Thailand Engineering Institute. From 2012 to 2013, he presided
over the ECTI Association of Thailand. The National Research
Council of Thailand named him a "National Distinguished Researcher" in
2009. Constructing a quantum computer is his current passion.
office: Faculty of Engineering, Chulalongkorn University, Eng. Build 4, Floor 18, room 12, tel 02-2186982.
email : prabhas dot c at chula dot ac dot thSimulating large-scale coupled-oscillator systems presents substantial
computational challenges for classical algorithms, particularly when
investigating the thermodynamics limit from first principles.
In this work, we present and implement an explicit quantum circuit to
efficiently simulate one-dimensional coupled-oscillator systems. Our
quantum simulation results show excellent agreement with classical
methods, showcasing a practical implementation of Hamiltonian simulation
and highlighting the potential for circuit-based algorithm to simulate
many-body systems on larger-scale quantum computers.
Luangsirapornchai, N., Sanglaor, P., Apimuk Sornsaeng, A., Bressan, S.,
Chotibut, T., Suksen, K., Chongstitvatana, P., "Practical Quantum Circuit
Implementation for Simulating Coupled Classical Oscillators," IEEE Access,
early access, 14 March 2025, (abstract)
DOI: 10.1109/ACCESS.2025.3551308
This work presents an example of programming a quantum computer. The
compact genetic algorithm is used as a target as it is powerful and
popular method in evolutionary computation. This paper demonstrates
the enhancement in terms of solution quality and speed introduced by
quantum computation. The simulation of quantum computing is carried out
for solving a problem using the compact genetic algorithm. The exponential
speed up over a classical computer is demonstrated.
Keywords: Genetic algorithms,
Compact Genetic Algorithms, Quantum Computers.
Yingchareonthawornchai, S., Aporntewan, C.,
and Chongstitvatana, P., 2012 #14
Programming: Python (2023)
Research grants and awards
I am currently active in the field of Evolutionary Computation,
Bioinformatics and Quantum computing. My research activities are
associated with Intelligent System Laboratory (ISL) in the department of
computer engineering, Faculty of engineering, Chulalongkorn University.
ISL has ties with University of Tokyo, Japan and the school of
informatics, Edinburgh University, Scotland.
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