Southwest Quantum Information and Technology

Trace-preserving tensor network models of quantum channels

Presenting Author: Siddarth Srinivasan, University of Washington
Contributing Author(s): Sandesh Adhikary, Bibek Babu Pokharel, Jacob Miller, Byron Boots

Modeling quantum channels is a common component in quantum process tomography and quantum error correction. However, the number of parameters needed to fully characterize a quantum channel scales exponentially with the number of qubits. Tensor network factorizations such as locally purified density operators (LPDOs) can serve as a reasonable ansatz for modeling completely-positive trace-preserving quantum channels while keeping the number of parameters tractable. However, a trace-preserving parameterization LPDOs is as of yet unknown. In this work, we investigate trace-preserving parameterizations of LPDOs for modeling quantum channels, with applications in quantum process tomography and quantum error correction.

(Session 5 : Thursday from 12:00pm-2:00 pm)