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Trapped Ion Quantum Computing
Quantum Machine Learning
Experimental Secure Multiparty Computation from Quantum Oblivious Transfer with Bit Commitment
arXiv
Authors: Kai-Yi Zhang, An-Jing Huang, Kun Tu, Ming-Han Li, Chi Zhang, Wei Qi, Ya-Dong Wu, Yu Yu
Year
2024
Paper ID
37074
Status
Preprint
Abstract Read
~2 min
Abstract Words
148
Citations
N/A
Abstract
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.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- Secure multiparty computation enables collaborative computations across multiple users while preserving individual privacy, which has a wide range of applications in finance...
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