  Quantum process tomography might be the most important paradigm shift which
has yet to be translated fully into theoretical chemistry. Its fundamental
strength, long established in quantum information science, offers a wealth of
information about quantum dynamic processes which lie at the heart of many (if
not all) chemical processes. However, due to its complexity its application to
real chemical systems is currently beyond experimental reach. Furthermore, it
is susceptible to errors due to experimental and theoretical inaccuracies and
disorder has long been thought to be an obstacle in its applicability. Here, I
present the first results of a study into the use of quantum light for quantum
process tomography. By using a toy model and comparing numerical simulations to
theoretical predictions the possible enhancement of using non-conventional
light is studied. It is found, however, that disorder is necessary make the use
of quantum light suitable for process tomography and that, in contrast to
conventional wisdom, disorder can make the results more accurate than in an
ordered system.
