  We show that quantum detector tomography can be applied to the human visual
system to explore human perception of photon number states. In detector
tomography, instead of using very hard to produce photon number states, the
response of a detector to light pulses with known photon statistics of varying
intensity is recorded, and a model is fitted to the experimental outcomes
thereby inferring the detector's photon number state response. Generally, light
pulses containing a Poisson-distributed number of photons are utilised, which
are very easy to produce in the lab. This technique has not been explored to
study the human visual system before, because it usually requires a very large
number of repetitions not suitable for experiments on humans. Yet, in the
present study we show that detector tomography is feasible for human
experiments. Assuming a simple model for this accuracy, the results of our
simulations show that detector tomography is able to reconstruct the model
using Bayesian inference with as little as $5000$ trials. We then optimize the
experimental parameters in order to maximise the probability of showing that
the single-photon accuracy is above chance. As such, our study opens the road
to study human perception on quantum level.
