Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Two-stage Estimation for Quantum Detector Tomography: Error Analysis,
  Numerical and Experimental Results   Quantum detector tomography is a fundamental technique for calibrating
quantum devices and performing quantum engineering tasks. In this paper, a
novel quantum detector tomography method is proposed. First, a series of
different probe states are used to generate measurement data. Then, using
constrained linear regression estimation, a stage-1 estimation of the detector
is obtained. Finally, the positive semidefinite requirement is added to
guarantee a physical stage-2 estimation. This Two-stage Estimation (TSE) method
has computational complexity $O(nd^2M)$, where $n$ is the number of
$d$-dimensional detector matrices and $M$ is the number of different probe
states. An error upper bound is established, and optimization on the coherent
probe states is investigated. We perform simulation and a quantum optical
experiment to testify the effectiveness of the TSE method.

21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
4
The categories of this paper are: cond-mat
25
The categories of this paper are: patt-sol
17
The categories of this paper are: q-fin
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
16
The categories of this paper are: stat
19
The categories of this paper are: eess
27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con