Quantum Computing for Materials Science

Nanoscience Laboratory at Gachon University explores resource-efficient quantum algorithms and quantum data representation, with an interest in materials-science applications.

Quantum algorithms and data representation

Our published work investigates data encoding using Grover’s algorithm. Materials discovery, simulation, and optimization are directions for extending this quantum-information research.

가천대학교 나노과학 연구실은 자원 효율적인 양자 알고리즘과 양자 데이터 표현을 연구하며, 재료과학 문제로의 확장을 탐구합니다.

Selected publications

Quantum data representation

Jaewon Ji and Joonho Bae. “Resource-efficient quantum data representation based on Grover’s algorithm.” International Journal of Quantum Information 23(06), 2550018 (2025). DOI: 10.1142/S0219749925500182

Review articles | 리뷰 논문

Joonho Bae (배준호). “Current Status and Prospects of Quantum Search Algorithm: Grover’s Algorithm” (양자 검색 알고리즘 그로버 알고리즘의 현황과 전망). New Physics: Sae Mulli (새물리) 74(10), 1080–1091 (2024). DOI: 10.3938/NPSM.74.1080

Joonho Bae (배준호). “Ion Trap for Quantum Computing: A Comprehensive Review” (양자 컴퓨팅을 위한 이온 트랩 연구 동향과 전망). New Physics: Sae Mulli (새물리) 74(11), 1106–1115 (2024). DOI: 10.3938/NPSM.74.1106

Jae-Hee Han and Joonho Bae (한재희·배준호). “Quantum Computing Revolutionizing Materials Science: Basic Principles and Trends in Applications for Nanomaterials” (재료 과학을 변혁시키는 양자 컴퓨팅: 기본 원리와 나노 소재 응용 연구 동향). 전기전자재료학회논문지 37(6), 590–599 (2024). DOI: 10.4313/JKEM.2024.37.6.3

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