Abstract: Disclosed are methods, systems, and other implementations, including a method for identifying and predicting illegal digital currency transactions that includes obtaining one or more blockchains of transaction blocks for transactions involving digital currency, deriving from the one or more blockchains of transaction blocks a transaction graph of sequential transactions, and applying clustering processing to the transaction graph to generate resultant one or more entity graphs representative of likely chains of digital currency transfers by respective one or more entities. The method further includes extracting graph feature data from the resultant one or more entity graphs, and applying classification processing (e.g., supervised learning classification processing) to the extracted graph feature data to identify a suspected malicious entity from the one or more entities associated with the one or more entity graphs.

Abstract: A quantum entangled state processing method, a device, and a storage medium are provided, which are related to a field of quantum calculation. The specific implementation scheme includes: determining n initial quantum states to be processed; determining at least two nodes associated with the initial quantum state; acquiring at least one first parameterized quantum circuit required by the first node and at least one second parameterized quantum circuit required by the second node matched with a preset processing scenario; controlling, based on an initial quantum operation strategy, the first node to perform a local quantum operation to obtain a first measurement result, controlling the second node to perform a local quantum operation to obtain a second measurement result; obtaining an output quantum state meeting a preset requirement of the preset processing scenario at least based on the first measurement result and the second measurement result.