Simplified quantum state preparation techniques for machine learning (IMAGE)
Caption
This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods significantly reduce circuit depth while preserving accuracy, as shown by the histogram of reduced CNOT gate counts.
Credit
Maxwell T. West et al.
Usage Restrictions
Credit must be given to the creator.
License
CC BY