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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