  Quantum entanglement is an essential resource for quantum networks. However,
the generation of entanglement between physical devices at remote network nodes
is a challenging task towards practical implementation of quantum networks. In
this work, we use the open-source Simulator of QUantum Network Communication
(SeQUeNCe), developed by our team, to simulate entanglement generation between
two atomic frequency comb (AFC) absorptive quantum memories to be deployed on
the Argonne-Chicago quantum network. We realize the representation of photonic
quantum states within truncated Fock spaces in SeQUeNCe and build models for a
spontaneous parametric down-conversion (SPDC) source, AFC absorptive quantum
memories, and measurement devices with non-number-resolving photon detectors.
Based on these developments, we observe varying fidelity with SPDC source mean
photon number, and varying entanglement generation rate with both mean photon
number and memory mode number. We also simulate tomographic reconstruction of
the effective density matrix for the bipartite photonic states retrieved from
quantum memories. Our work extends the usability of the SeQUeNCe simulator with
new hardware modules and Fock state representation that will improve the
simulation of near term quantum network hardware and protocols.
