Secure multiparty computation enables collaborative computations across multiple users while preserving individual privacy, which has a wide range of applications in finance, machine learning and healthcare. Secure multiparty computation can be realized using oblivious transfer as a primitive function. In this paper, we present an experimental implementation of a quantum-secure quantum oblivious transfer (QOT) protocol using an adapted quantum key distribution system combined with a bit commitment scheme, surpassing previous approaches only secure in the noisy storage model. We demonstrate the first practical application of the QOT protocol by solving the private set intersection, a prime example of secure multiparty computation, where two parties aim to find common elements in their datasets without revealing any other information. In our experiments, two banks can identify common suspicious accounts without disclosing any other data. This not only proves the experimental functionality of QOT, but also showcases its real-world commercial applications.

翻译：安全多方计算能够在保护个体隐私的前提下实现多用户间的协同计算，在金融、机器学习和医疗健康等领域具有广泛应用。安全多方计算可通过不经意传输作为基础原语实现。本文提出一种基于改进型量子密钥分发系统结合比特承诺方案的量子安全量子不经意传输协议实验实现，其安全性超越了先前仅适用于噪声存储模型的方案。我们通过解决安全多方计算的典型范例——隐私集合求交问题，首次展示了QOT协议的实际应用：该场景中双方旨在发现各自数据集中的共有元素而不泄露任何其他信息。在我们的实验中，两家银行能够识别共同的可疑账户而不披露任何其他数据。这不仅验证了QOT的实验可行性，也展现了其在实际商业场景中的应用潜力。