General theory of quantum fingerprinting network
arXiv:2011.06266 · doi:10.1103/PhysRevResearch.3.033039
Abstract
The purpose of fingerprinting is to compare long messages with low communication complexity. Compared with its classical version, the quantum fingerprinting can realize exponential reduction in communication complexity. Recently, the multi-party quantum fingerprinting is studied on whether the messages from many parties are the same. However, sometimes it is not enough just to know whether these messages are the same, we usually need to know the relationship among them. We provide a general model of quantum fingerprinting network, defining the relationship function and giving the corresponding decision rules. In this work, we take the four-party quantum fingerprinting protocol as an example for detailed analysis. We also choose the optimal parameters to minimize communication complexity in the case of asymmetric channels. Furthermore, we compare the multi-party quantum fingerprinting with the protocol based on the two-party quantum fingerprinting and find that the multi-party protocol has obvious advantages, especially in terms of communication time. Finally, the method of encoding more than one bit on each coherent state is used to further improve the performance of the protocol.
arXiv comment12 pages, 4 figures
References in corpus (14)
- Quantum Cryptography
- The Security of Practical Quantum Key Distribution
- Quantum Communication
- Advances in Quantum Cryptography
- Secure quantum key distribution with realistic devices
- Quantum fingerprinting
- Non-locality and Communication Complexity
- Quantum information with Gaussian states
- Multiparty Quantum Communication Complexity
- Experimental Quantum Fingerprinting
- Quantum Fingerprinting with Coherent States and a Constant Mean Number of Photons
- Observation of quantum fingerprinting beating the classical limit
- Families of Quantum Fingerprinting Protocols
- Multi-party quantum fingerprinting with weak coherent pulses: circuit design and protocol analysis