안녕하십니까.

오는 수요일(11월 19일) 오후 4:00에 아래와 같이 2025년 하반기 정규 콜로키움이 진행될 예정입니다.

발표 후에는 연사와의 대화시간(5:00-5:40)이 예정되어 있으니 많은 참여 부탁드립니다.

발표자: 방정호 교수 (Yonsei University)

호스트: 이창희

장소: 장영실홀 331-2 및 원격 연결

일시: 11월 19일 (수) 오후 4:00

접속주소: https://zoom.us/j/96778730290?pwd=guUS8r1bFbggZKMRVcSiTBnIGnZL8p.1

교육학점: 천문연 소속 현장참석자의 경우 필수 0.5 학점 부여

제목: Quantum Machine Learning: Past, Present, and Future

초록: 

The hybridization of quantum theory and machine learning is expanding the frontiers of quantum information science and opening up new possibilities. This seminar provides an overview of the origins and key concepts of quantum machine learning (QML), current research trends, and the major challenges the field faces today. I will begin with a brief introduction to the fundamental principles of quantum computing and the background that led to the emergence of QML. The seminar will then explore the types of problems QML aims to solve, its current limitations, and the ongoing efforts by researchers to overcome these hurdles.

진행언어: 한국어

슬라이드언어: 한국어

원격 접속 방법 :

A. 웹 브라우저: Chrome을 추천하며 아래 주소를 실행시 Zoom 구동을 위한 프로그램이 설치될 수 있음

B. 접속 주소: https://zoom.us/j/96778730290?pwd=guUS8r1bFbggZKMRVcSiTBnIGnZL8p.1

C. 유의사항: 접속 후 "마이크는 뮤트로 설정" - 기본설정은 뮤트로 되어있음 > 질의 응답시간에는 마이크를 사용해서 질문 가능함

천문연 콜로키움 위원회 (김종수, 선광일, 이창원, 문홍규, 노혜림, 한정열)

운영위원회 (김진호, 김영민, 이석호, 홍준석, 석지연, 이재현)

----------

Dear all,

The KASI's regular colloquium is scheduled at Nov. 19, as shown below.

A conversation session with speakers is scheduled after the colloquium.

Speaker: Prof. Jeongho Bang (Yonsei University)

Host: 이창희

Place: Jang Yeong-sil Hall 331-2 & Online

Time: November 19 (Wed) 4:00 pm 

Access: https://zoom.us/j/96778730290?pwd=guUS8r1bFbggZKMRVcSiTBnIGnZL8p.1

KASI Educational credits: 0.5 educational credits are awarded to off-line attendees.

Title: Quantum Machine Learning: Past, Present, and Future

Abstract: 

The hybridization of quantum theory and machine learning is expanding the frontiers of quantum information science and opening up new possibilities. This seminar provides an overview of the origins and key concepts of quantum machine learning (QML), current research trends, and the major challenges the field faces today. I will begin with a brief introduction to the fundamental principles of quantum computing and the background that led to the emergence of QML. The seminar will then explore the types of problems QML aims to solve, its current limitations, and the ongoing efforts by researchers to overcome these hurdles.

Language: Korean

Slide Language: Korean

Remote access procedure:

A. Web browser: Chrome - When executing the address below, a program for additional zoom operation can be installed.

B. Access: Go to  https://zoom.us/j/96778730290?pwd=guUS8r1bFbggZKMRVcSiTBnIGnZL8p.1

C. Notice: After join, Please mute your microphone. - The default setting is microphone mute. > After the presentation, during the Q&A session, you can use the microphone to ask questions.

KASI Colloquium committee (Jongsoo Kim, Kwang-Il Seon, Chang Won Lee, Hong-Kyu Moon, Hyerim Noh, Jeong-Yeol Han)

Working committee (Jinho Kim, Young-Min Kim, Seokho Lee, Junseok Hong,  Ji Yeon Seok, Jaehyun Lee)