arXiv：cs.LG· Bibhas Adhikari, Ramya Srinivasan·· 4 小时前AI 评分29
一种认知感知的 QML-CRL 框架，用于检测亲和与恋爱投资诈骗
A Cognitive-Aware QML-CRL Framework for Detecting Affinity and Romance-Investment Fraud
AI 导读
研究者提出一种混合量子-经典框架，通过建模操纵性对话中的认知偏差来检测亲和与恋爱投资诈骗，将核心认知偏差编码到结构化参数化量子电路的专用 qubit 上。
正文
Abstract:We present a hybrid quantum-classical framework that detects affinity and romance-investment fraud by modelling the cognitive biases in a manipulative conversation. In our proposed framework, cognitive biases central to this fraud class are carried by dedicated qubits in a structured parameterized quantum circuit, together with a frame qubit makes the encoding sensitive to the temporal order of manipulative reframing, and a narrative qubit that aggregates co-occurrence through a trainable entanglement layer. The circuit parameters are trained jointly with a classical reinforcement-learning agent that decides, turn by turn, whether to flag the conversation, modeled as an optimal stopping problem. We evaluate the model's performance on synthetic conversations that include hard negatives, legitimate but urgent, and legitimate but pushy sales conversations.
| Subjects: | Machine Learning (cs.LG); Quantum Physics (quant-ph) |
| Cite as: | arXiv:2610.09141 [cs.LG] |
| (or arXiv:2610.09141v1 [cs.LG] for this version) | |
| https://doi.org/10.48550/arXiv.2610.09141 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Bibhas Adhikari [view email]
[v1]
Tue, 6 Oct 2026 21:33:26 UTC (372 KB)
来源：arXiv：cs.LG · arxiv.org