Gradient-descent quantum process tomography by learning kraus operators

HIGHLIGHTS

• who: (Received, and August, from the DepartmentChalmers University, Onna-son, Okinawa, Japan have published the research work: Gradient-Descent Quantum Process Tomography by Learning Kraus Operators, in the Journal: (JOURNAL) of 14/04/2023
• what: The authors show how the simple GD approach can reconstruct both continuous- and discrete-variable (CV and DV) quantum processes with different measurement schemes, large Hilbert-space dimensions, and limited data. In Fig 2, the authors show the Wigner functions for one instance of a coherent probe state u03c1i=ju03b1i ihu03b1i j, target state u03c10i=E(u03c1i ) after the process . . .
  

   

  

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