An abstraction layer over netsquid to build, test and share quantum network components and topologies in a simpler way
First loading the project file, which contains all the components and their topology.
import json
topology = json.load(open("example.json"))
print(topology)Next, let's load the project's topology and construct the network.
from Core.Topology import Topology
top = Topology()
# Loads the project topology and create the necessary components
top.load(topology)
# Build the topology against the necessary components
top.build()Once the network has been build, One can start interacting with the simulation and its components.
To print the summary Nodes, one can directly invoke the summary() function from the elemental Node.
[top.NODES[node].summary() for node in top.NODES]Similarly, one can invoke the telnet() function to start a telnet connection to a Node, and run commands.
[top.NODES[node].telnet() for node in top.NODES] {
"name": "Quantum_Connection",
"description": "A simple quantum link",
"nodes": [
{
"id": "192.168.18.13",
"name": "node_A",
"type": "edge",
"class": "node",
"memory": 3,
"delay-config": { "delay": 5 },
"ports": ["qport"]
},
{
"id": "192.168.18.14",
"name": "node_B",
"type": "edge",
"memory": 3,
"class": "node",
"ports": ["qportL"]
}
],
"connections": [
{
"name": "quantum",
"type": "quantum",
"connection": ["192.168.18.13", "192.168.18.14"],
"to": {"id": "192.168.18.13", "port": "qport"},
"from": {"id": "192.168.18.14", "port": "qportL"},
"distance": "43",
"delay-type": "FibreDelayModel",
"loss-type": "FibreLossModel",
"loss-config": { "p_loss_init": 0.83, "p_loss_length": 0.2}
}
]
}
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