Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Extreme Spin Squeezing from Deep Reinforcement Learning   Spin squeezing (SS) is a recognized resource for realizing measurement
precision beyond the standard quantum limit $\propto 1/\sqrt{N}$. The
rudimentary one-axis twisting (OAT) interaction can facilitate SS and has been
realized in diverse experiments, but it cannot achieve extreme SS for precision
at Heisenberg limit $\propto 1/{N}$. Aided by deep reinforcement learning
(DRL), we discover size-independent universal rules for realizing nearly
extreme SS with OAT interaction using merely a handful of rotation pulses. More
specifically, only 6 pairs of pulses are required for up to $10^4$ particles,
while the time taken to reach extreme SS remains on the same order of the
optimal OAT squeezing time, which makes our scheme viable for experiments that
reported OAT squeezing. This study highlights the potential of DRL for
controlled quantum dynamics.

30
The categories of this paper are: q-alg
16
The categories of this paper are: stat
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess