서울대학교

2025 서울대학교 의료 인공지능 융합인재 양성 사업단(snuaimed.org) 세미나 시리즈 ‘SNU AI.MED Talks 25’의 다섯번째 세미나에 여러분을 초대합니다.

이번 세미나에서는 유형원 분당서울대학교병원 내분비외과 교수가 ‘What the Medical Community Needs to Know About Quantum Computers in 2025’을 주제로 강의합니다.

- 일시 : 2025.4.9.(수) 16:00-17:20

- 장소 : 온라인(viz Zoom)
             https://snu-ac-kr.zoom.us/j/82918852398
             ID: 829 1885 2398 (상단 포스터 QR 코드 접속 가능)
문의: ai.med@snu.ac.kr

많은 참여를 부탁드립니다.

감사합니다.

서울대학교 의료 인공지능 융합인재 양성 사업단(SNU AI.MED) 드림

# 주제 : What the Medical Community Needs to Know About Quantum Computers in 2025

# 초록 :
This lecture introduces quantum computing and its relevance to medicine. It begins with a historical overview of quantum mechanics, highlighting key figures like Planck, Einstein, and Schrödinger. The talk then explains fundamental quantum concepts such as superposition, entanglement, and quantum gates, which differentiate quantum from classical computing.
The presentation discusses various quantum computing paradigms, including gate-based quantum computers, quantum annealers, and quantum simulators. It also addresses Noisy Intermediate-Scale Quantum (NISQ) computers and their limitations. Hardware advancements from major players like IBM, Google, and D-Wave are reviewed, emphasizing qubit scalability and error correction challenges.
The medical applications of quantum computing are explored, particularly in biochemical simulations, drug discovery, medical imaging, and sequencing. Real-world studies, such as quantum-enhanced algorithms for KRAS inhibitors and quantum-based CT image reconstruction, showcase the potential of quantum computing in medicine.
Quantum computing’s role in secure medical data processing, AI-driven diagnostics, and optimization in healthcare systems is also highlighted. The talk emphasizes the need for interdisciplinary collaboration between quantum physicists, engineers, and medical professionals.
The presentation concludes by addressing the future of quantum research, government initiatives, and industry collaborations. While quantum computing is still in its early stages, its integration with medicine promises significant breakthroughs in precision medicine, diagnostics, and healthcare innovation.