Korea Quantum Roadmap 2035

[Research] Why Korea Should Be Watching Australia's Quantum Ecosystem Right Now Australia is no longer just a research story. The country now hosts 32 active quantum computing companies, with cumulative sector funding exceeding $516M over the past decade and a national strategy explicitly targeting global quantum leadership by 2030.

A Quantum Technology Adoption Framework for the Republic of Korea Navy Integrating Quantum Security, Sensing, and PNT for Maritime Superiority_20260122

This paper empirically validates the theoretical frameworks presented in "A Quantum Technology Adoption Framework" [2] and "Why QRNG Confuses PQC" [3]. We conducted a series of file encryption and decryption experiments using NIST-standardized Post-Quantum Cryptography (PQC) algorithms on a defined dataset of PDF and large-scale video files. The performance metrics, including speed and throughput for various KEM and digital signature algorithms (ML-KEM, ML-DSA, Falcon, SPHINC

Why QRNG Confuses PQC A Clear Understanding and Prioritization of Quantum Security Technologies

This paper presents a three-level quantum adoption framework for upgrading DockMaster-Songdo™, a web-based protein preprocessing platform.

Background Protein structure preprocessing is the foundation of structure-based drug discovery, yet current workflows are highly fragmented. Researchers typically rely on multiple tools such as PyMOL, ChimeraX, and Schrödinger Suite, which leads to complexity, inconsistency, and limited reproducibility. These toolchains often demand advanced expertise in structural biology and computational chemistry, while offering no built-in support for global regulatory requirements (FDA,

Introduction Challenge in Drug Development: Protein structure preprocessing is a critical step that determines the accuracy of molecular docking and molecular dynamics simulations Experimental structures (X-ray, NMR) contain unnecessary water molecules, crystallization ligands, metal ions, and incomplete hydrogen information Differences from physiological environments reduce reliability for computational studies Limitations of Current Preprocessing: Requires sequential use of

My research paper "Real-time Threat Analysis and Decision Support System for the Korean Peninsula Based on Multi-AI Model Fusion" has been published in the Journal of the Korea Society for Naval Science & Technology on September 30th.  As a Navy reservist, it is deeply meaningful to contribute, even in a small way, to the ROK Navy and national defense. I have invested nearly a year in planning and developing TARGIS BUSAN, continuing to advance it even on holidays and weekends

May 2010, Korea Game Society Sung-il Oh*, Jung-kyu Joo**, Ji-hoon Kim** Unity Korea Co. Ltd, *Digital Human Power...

Bokwang Shim 1  and Suhyeon Seo 1  and Sungil Oh 2  and Yangkyu Lim 1   1  Duksung Women’s University, Seoul, South Korea   2  Sungil Oh....

InMemory DBMS and Disk DBMS Mechanism Original Author: Oh, Sung Il (2012) Advisor: Prof. Ahn, Hyun ChulKookmin University Graduate School...