本研究旨在探討量子科技專利引用網路的演化機制，分析組織如何透過專利引用關係進行知識獲取與路徑選擇。量子科技作為具備高度破壞性的前沿技術，引用連結深受路徑依賴與組織決策機制的驅動。本研究建立了一個動態實證分析框架，剖析 2015 年至 2024 年間網路的微觀演變。研究核心立足於多維鄰近性理論，提出地理、社會、組織、認知與制度五大維度，作為解釋技術連結的主要驅動力。研究方法採用隨機行動者導向模型，將網路變遷建模為連續時間的馬可夫過程，並將組織專利存量視為吸收能力的代理變數，藉精確估算驅動結構變遷的微觀機制。
研究結果發現，量子科技引用網路的演化呈現出顯著的路徑依賴與多維鄰近性的交互影響。首先，地理鄰近性在具備高技術門檻的量子領域依然扮演關鍵角色；其次，社會鄰近性展現強大的內生動力，既有的引用軌跡會顯著提升未來建立連結的可能性；再者，組織維度上加入 QED-C 聯盟能破除組織邊界；而認知維度上則為相似的技術知識背景基礎，降低了知識獲取門檻；最後，在制度維度方面，產學研合作的異質性互補慢慢成為驅動技術轉化的催化劑。總結而言，本研究揭示了網路演化背後的微觀機制，不僅擴展了理論邊界，更為政策制定者與企業在技術預測與策略引用時提供了實證數據導引。

This study investigates the evolutionary mechanisms of patent citation networks in quantum technology, examining how organizations acquire knowledge and select technological paths through citation relationships. As a disruptive frontier technology, quantum technology has moved from basic science into global industrial competition, where patent citations serve as explicit indicators of knowledge flow driven by path dependency and organizational decision-making rather than random linking. Addressing the gap in existing literature, which often focuses on static structures, this research builds a dynamic empirical framework to analyze the microscopic evolution of quantum citation networks from 2015 to 2024, grounded in the theory of multidimensional proximity across geographical, social, organizational, cognitive, and institutional dimensions. Stochastic Actor-Oriented Models treat network change as a continuous-time Markov process, with patent stock as a proxy for absorptive capacity to separate scale effects from proximity effects. Results reveal pronounced path dependency. Geographical proximity remains significantly positive, confirming that national borders still filter knowledge flow. Social proximity, captured through transitive closure, shows strong endogenous dynamics. Organizational proximity, measured by shared membership in the Quantum Economic Development Consortium, is the strongest driver, as formal consortia dissolve boundaries and lower search costs. Cognitive proximity is also positive, while institutional proximity remains modest, reflecting blurring boundaries among industry, academia, and government. Notably, absorptive capacity has a significant negative effect, indicating that leading organizations search highly selectively, prioritizing quality over quantity. Overall, this study reveals the microscopic mechanisms behind network evolution and offers empirical guidance for technology forecasting and strategic citation.

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