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Welcome to

Molecular Quantum Dynamics and Information Theory Laboratory

M-QuDIT Lab, Department of Chemistry, SKKU.

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Research Interests

Artificial Intelligence

We conduct research on predicting the physical properties of molecules and generating molecular and crystal structures with specific properties through machine learning techniques.

Quantum
Computing

We research quantum problems that are difficult to solve with classical computers using controllable quantum systems.

Electronic
Structures

We perform electronic structure calculations on organic molecules and inorganic crystalline solids to predict their properties.

Click the images to learn more about our research.

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Recent Publishments

Analog Quantum Simulation of Non-Condon Effects in Molecular Spectroscopy

Selected as the cover paper for
ACS Photonics (July 2021)

In this work, we present a linear optical implementation for analog quantum simulation of molecular vibronic spectra, incorporating the non-Condon scattering operation with a quadratically small truncation error. To date, analog and digital quantum algorithms for achieving quantum speedup have been suggested only in the Condon regime, which refers to a transition dipole moment that is independent of nuclear coordinates. For analog quantum optical simulation beyond the Condon regime (i.e., non-Condon transitions), the resulting nonunitary scattering operations must be handled appropriately in a linear optical network. In this paper, we consider the first- and second-order Herzberg–Teller expansions of the transition dipole moment operator for the non-Condon effect for implementation on linear optical quantum hardware. We believe that the method opens a new way to approximate arbitrary nonunitary operations in analog and digital quantum simulations. We report in silico simulations of the vibronic spectra for naphthalene, phenanthrene, and benzene to support our findings.

Members

Our lab is home to amazing members.

You Kyoung Chung
정유경

 ​Ph. D

  • Computational Chemistry

  • Bio/Chem-Informatics

  • Artificial Intelligence

Junho Lee
이준호

 ​Ph. D

  • Computational Chemistry

  • Deep Learning

Jaehee Kim
김재희

 ​Ph.D Candidate (5th yr)

  • Quantum Algorithm

  • Quantum Simulation

Gwonhak Lee
이권학

 ​Ph.D Candidate (3rd yr)

  • Quantum Simulation

  • Quantum Chemistry

  • Numerical Analysis​

Seon Bin Song
송선빈

​Combined MS/Ph.D Course (5th yr)

  • Molecular Dynamics for Protein

  • Bio/Chem-Infomatics

Minhyeok Kang
강민혁

Combined MS/Ph.D Course (3th yr)

  • Quantum Algorithm

  • Quantum Simulation

Youngjun Park
박영준

​Combined MS/Ph.D Course (2nd yr)

  • Quantum Computing

  • Quantum Algorithm

  • Bioinfomatics

Shinwon Ham
함신원

 MS Candidate (2nd yr.)

  • Density Functional Theory

  • Machine Learning

  • ML-Based Enantioselectivity

Jungsoo Hong
홍정수

 ​Ph.D Candidate (1st yr)

  • Quantum Algorithm

  • Quantum Simulation

Kyoung An Park
박경안

 Combined MS/Ph.D Course (1st yr)

  • Quantum Simulation

  • Quantum Chemistry

Jiyun Lee
이지윤

 Combined MS/Ph.D Course (1st yr)

  • Bio/Chem-Infomatics

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Contact Us!
​And Be With Us!
Thank You ;)

Location :

     330328, Chemistry Building, Sungkyunkwan University,

     2066, Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do, Republic of Korea

If you are curious about Professor Joonsuk Huh's researches:

허준석 교수님 이메일 : joonsukhuh (at) gmail.com

© 2017 by Joonsuk Huh.

Department of Chemistry, Sungkyunkwan University
2066, Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do, 16419, Rep. of KOREA

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