加州大学圣塔芭芭拉分校的物理学家利用欧洲核子研究组织大型强子对撞机的数据开展了新一轮搜索，旨在寻找微观量子黑洞的证据1。研究人员分析了2016年至2018年间紧凑μ子线圈实验探测器收集的数据，未发现量子黑洞存在的直接证据1。虽然搜索未获得正向发现，但研究成果显著地缩小了量子黑洞可能存在的理论空间。
研究排除了能量在约12 TeV以下产生量子黑洞的可能性1。这一发现对涉及额外空间维度的物理理论施加了更严格的限制1。研究还首次在粒子物理数据分析中采用了相空间距离法与支持向量机相结合的机器学习方法1，为该领域的数据处理开辟了新的技术路径。
Physicists at the University of California, Santa Barbara have used data from the Large Hadron Collider to search for evidence of microscopic quantum black holes, finding none but substantially narrowing the theoretical possibilities for where such exotic objects could exist.1 The research excluded the possibility of quantum black hole production at energies below approximately 12 TeV and imposed stricter constraints on theories involving extra spatial dimensions.1 Researchers Tamas Vami and Danyi Zhang analyzed data collected by the CMS detector between 2016 and 2018, searching for both quantum black holes and sphalerons.1
The study marks the first application of a novel machine learning technique to particle physics data analysis, combining phase-space distance methodology with support vector machines.1 For the theoretical frameworks considered in the research, the findings limit extra spatial dimensions to no more than two, a significant restriction compared to the ten dimensions posited by string theory.1 The results were published in Progress in High Energy Physics in 2026.1
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