Abstract: President Xi Jinping stressed "We should observe the small to understand the big, perceive the subtle to grasp the significant, and ly interpret the trends and risks hidden behind the signals, with a scientific approach to foreseeing the development of the situation." This places higher demands on the increasingly important tasks of achieving technological self-reliance and technological foresight. The research value of identifying weak signals in emerging technologies becomes more prominent. In the research, we have based our work on the theories of paradigm shift, knowledge hierarchy, and meaning construction. We have delineated the theoretical foundations and developed a theoretical model for the identification of identification of weak signals of emerging technologies. Subsequently, we designed six secondary indicators and their measurement methods from three dimensions: novelty, attention, and growth, and created an emerging technology weak signal recognition method based on ternary econometric features. Finally, we have taken the field of quantum information technology as the empirical object. We conducted methodological tests using data from 2011 to 2016 and performed identification and prediction using data from 2017 to 2022. Through evaluation and analysis, we identified five emerging weak signals in the current quantum domain: Quantum Repeater, Quantum Networks, Quantum Entanglement Concentration, Quantum Key Distribution, and Quantum Dot Medicine. This confirms the effectiveness of our research methodology, which can assist researchers and decision-makers in making informed judgments regarding future technology development.