5 research outputs found
Process Tomography for Systems in a Thermal State
We propose a new method for implementing process tomography that is based on
the information extracted from temporal correlations between observables,
rather than on state preparation and state tomography. As such, the approach is
applicable to systems that are in a mixed state, and in particular to thermal
states. We illustrate the method for an arbitrary evolution described by Kraus
operators, as well as for simpler cases such as a general Gaussian channels,
and qubit dynamics