Quantum detector tomography applied to the human visual system: a feasibility study

09/14/2022
by   T. H. A. van der Reep, et al.
0

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, here we present a feasibility study determining the few-photon accuracy of human visual perception using weak Poisson-distributed light pulses from which we conclude that detector tomography is feasible for human experiments. Assuming a simple model for this accuracy, our results 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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/16/2018

Neural network state estimation for full quantum state tomography

An efficient state estimation model, neural network estimation (NNE), em...
research
05/31/2023

A survey on the complexity of learning quantum states

We survey various recent results that rigorously study the complexity of...
research
03/25/2021

Learning Temporal Quantum Tomography

Quantifying and verifying the control level in preparing a quantum state...
research
05/09/2023

Attention-Based Transformer Networks for Quantum State Tomography

Neural networks have been actively explored for quantum state tomography...
research
05/15/2020

Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement

Low-light image enhancement is a promising solution to tackle the proble...
research
12/12/2019

Bell Diagonal and Werner state generation: entanglement, non-locality, steering and discord on the IBM quantum computer

We shortly review Bell-diagonal and Werner states of two quantum bits an...
research
09/24/2021

Process tomography in general physical theories

Process tomography, the experimental characterization of physical proces...

Please sign up or login with your details

Forgot password? Click here to reset