The rapid advancement of quantum computing research, particularly in defense, space exploration, and information security, necessitates a comprehensive understanding of the field’s development. This research analyzes quantum computing advancements from 2000 to 2023, focusing on key developments, collaboration patterns, and trends. Integrating text mining-based topic modeling and network analysis (including author and keyword co-occurrence, co-citation, and bibliographic coupling) addresses the gap in existing approaches. Seven distinct topics are identified: Quantum Phase and System Model, Algorithm Improvement and Optimization, Quantum Logic Gateway and Quantum Bits, Spin Properties and Interactions, Quantum States and Measurement Methods, Implementation and Application, and Problem-Solving Solutions. Furthermore, four primary keyword clusters are revealed: “quantum information,” “quantum bits,” “cryptography,” and “quantum algorithm.” This methodology of research patterns offers researchers a targeted and efficient framework for navigating and contributing to quantum computing research and related knowledge.