q-DNA

Quantum Data Science & AI @ Yonsei University

Welcome to the Quantum Data Science & AI (a.k.a q-DNA) lab at Yonsei University.

We are a multi-disciplinary group where expertise in statistics, physics, computer science, and applied mathematics intersect.

In brief, here is what we do:

Harness quantum information theory to solve various challenges in data science and AI.
Develop industrial applications of quantum computing empowered by quantum optimization techniques.
Develop statistical and machine learning methods that combat noise and imperfections in quantum information processing tasks.

For post-doctoral research positions, please contact the professor directly if you are interested in joining the team.

Currently, there are no openings for students.

News

2024

Feb. 07: Quantum variational distance-based centroid classifier is published in Neurocomputing.
Jan. 25: Dr. Nayeli A Rodriguez-Briones from UC Berkeley is visiting q-DNA until Feb. 26.

2023

Dec. 13: Scalable quantum measurement error mitigation via conditional independence and transfer learning is published in Machine Learning: Science and Technology.
Nov. 21: Variational quantum state discriminator for supervised machine learning is published in Quantum Science and Technology.
Nov. 20 - 24: q-DNA presented 1 talk and 6 posters at QTML 2023 in CERN, Switzerland.
Nov. 15: Dr. Nayeli A Rodriguez-Briones from UC Berkeley will be visiting q-DNA until Dec. 13. Welcome!
Sep. 01: Wooseop won a 3rd place in the best student poster award at AQIS 2023!
Aug. 09: Classical-to-quantum convolutional neural network transfer learning is published in Neurocomputing.
Aug. 05: Hierarchical quantum circuit representations for neural architecture search is published in npj Quantum Information.
Aug. 04: Professor Jaewoo Joo from University of Portsmouth and Dr. Jeongho Bang from ETRI visited our group.
Jun. 30: Dr. Patrick Rebentrost from Center for Quantum Technologies visited our group.
Feb. 25: Variational approximate quantum support vector machine with inference transfer is published in Scientific Reports.
Feb. 21: Configurable sublinear circuits for quantum state preparation is publised in Quantum Information Processing.
Feb. 20: Dr. Jeongho Bang and Dr. Kyunghyun Baek from ETRI visited our group.
Jan. 20: Variational quantum one-class classifier is published in Machine Learning: Science and Technology.
Jan. 03: Quantum-inspired algorithm for direct multi-class classification is published in Applied Soft Computing.

2022

Dec. 29: Taehyun & Junghan won the 1st place, and Hyeondo & Chanwon won the 2nd place at the Pohang Techno-Park Quantum AI SW development competition! Congrats to all.
Nov. 09: Prof. Park spoke as an invited penalist at the IBM Quantum Summit 2022 to discuss "Quantum Skills for Today and Tomorrow".
Nov. 01: Dr. Israel Ferraz de Araujo joined q-DNA as a post-doctoral researcher. Welcome!
Oct. 04: Linear-depth quantum circuits for multiqubit controlled gates is published in Physical Review A.
Aug. 16: Professor Jaewoo Joo from University of Portsmouth visited our group.
Aug. 11: Dr. Sumin Lim from University of Oxford visited our group.
Jul. 08: Quantum readout error mitigation via deep learning is published in New Journal of Physics.
Jul. 07: Compact quantum kernel-based binary classifier is published in Quantum Science and Technology.
Jul. 04: Professor Mile Gu from Nanyang Technological University visited our group.
Mar. 01: q-DNA lab kicks off at Yonsei!