DQVeriChain: Distributed quantum-state-verified and DID-based self-attentive large language model for criminal tracking using blockchain | Synapse
March 3, 2026
DQVeriChain: Distributed quantum-state-verified and DID-based self-attentive large language model for criminal tracking using blockchain
Key Points
This framework enables efficient criminal tracking through decentralized identifiers and a self-attentive large language model, enhancing data integrity and verification.
The model leverages quantum-state verification alongside blockchain technology to secure the data and ensure its authenticity.
Utilizing a decentralized approach, the method minimizes the risk of data tampering and unauthorized access, promising reliable outcomes for criminal investigations.
Potential implications include transforming how law enforcement interacts with technology, though real-world application may require further exploration.