Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bidirectional deep learning of polarization transfer in liquid crystals
  with application to quantum state preparation   Accurate control of light polarization represents a core building block in
polarization metrology, imaging, and optical and quantum communications.
Voltage-controlled liquid crystals offer an efficient way of polarization
transformation. However, common twisted nematic liquid crystals are notorious
for lacking an accurate theoretical model linking control voltages and output
polarization. An inverse model, which would predict control voltages required
to prepare a target polarization, is even more challenging. Here we report both
the direct and inverse models based on deep neural networks, radial basis
functions, and linear interpolation. We present an inverse-direct compound
model solving the problem of control voltages ambiguity. We demonstrate one
order of magnitude improvement in accuracy using deep learning compared to the
radial basis function method and two orders of magnitude improvement compared
to the linear interpolation. Errors of the deep neural network model also
decrease faster than the other methods with an increasing number of training
data. The best direct and inverse models reach the average infidelities of $4
\times 10^{-4}$ and $2 \times 10^{-4}$, respectively, which is the accuracy
level not reported yet. Furthermore, we demonstrate local and remote
preparation of an arbitrary single-photon polarization state using the deep
learning models. The results will impact the application of twisted-nematic
liquid crystals, increasing their control accuracy across the board. The
presented bidirectional learning can be used for optimal classical control of
complex photonic devices and quantum circuits beyond interpolation.

9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ
1
The categories of this paper are: cs
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org