q-DNA
Quantum Data Science & AI @ Yonsei University
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.
Apr. 22: Hamiltonian formulations of centroid-based clustering is published in Frontiers in Physics.
Apr. 8: Prof. Park gave an invited talk at 2025 International Conference on Quantum & AI Technologies in Biomedical Science.
Mar. 3: Optimizing quantum convolutional neural network architectures for arbitrary data dimension is published in Frontiers in Physics.
Feb. 18: Expressivity of deterministic quantum computation with one qubit is published in Physical Review A.
Dec. 30: Early-stage detection of cognitive imparement by hybrid quantum-classical algorithm using resting-state functional MRI time-series is published in Knowledge-Based Systems.
Dec. 30: Distributed quantum machine learning via classical communication is published in Quantum Science and Technology.
Dec. 6: Prof. Dawei Lu from SUSTECH is visiting q-DNA until Dec. 10.
Nov. 28: Dr. Carsten Blank from data cybernetics is visiting q-DNA until Dec. 6.
Nov. 11: Dr. Nayeli A Rodriguez-Briones from TU Wien is visiting q-DNA until Dec. 8.
Sep. 4: Prof. Park delievered a lecture on "Classical-quantum hybrid machine learning" at the European Summar School on Quantum AI 2024.
Aug. 21: Quantum support vector data description for anomaly detection is published in Machine Learning: Science and Technology.
Aug. 08: Neural quantum embedding: Pushing the limits of quantum supervised learning is published in Phys. Rev. A.
Jul. 11: The effect of classical optimizers and Ansatz depth on QAOA performance in noisy devices is published in Scientific Reports.
Jul. 08: Quadratic speed-ups in quantum kernelized binary classifier is published in Advanced Quantum Technologies.
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.
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.
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!