qns.network package
Subpackages
Submodules
qns.network.network module
- class qns.network.network.QuantumNetwork(topo: Optional[qns.network.topology.topo.Topology] = None, route: Optional[qns.network.route.route.RouteImpl] = None, classic_topo: Optional[qns.network.topology.topo.ClassicTopology] = ClassicTopology.Empty, name: Optional[str] = None)[source]
Bases:
object
QuantumNetwork includes several quantum nodes, channels and a special topology
- add_cchannel(cchannel: qns.entity.cchannel.cchannel.ClassicChannel)[source]
add a ClassicChannel into this network.
- Parameters
cchannel (qns.entity.cchannel.cchannel.ClassicChannel) – the inserting ClassicChannel
- add_memories(capacity: int = 0, decoherence_rate: Optional[float] = 0, store_error_model_args: dict = {})[source]
Add quantum memories to every nodes in this network
- Parameters
capacity (int) – the capacity of the quantum memory
decoherence_rate (float) – the decoherence rate
store_error_model_args – the arguments for store_error_model
- add_node(node: qns.entity.node.node.QNode)[source]
add a QNode into this network.
- Parameters
node (qns.entity.node.node.QNode) – the inserting node
- add_qchannel(qchannel: qns.entity.qchannel.qchannel.QuantumChannel)[source]
add a QuantumChannel into this network.
- Parameters
qchannel (qns.entity.qchannel.qchannel.QuantumChannel) – the inserting QuantumChannel
- add_request(src: qns.entity.node.node.QNode, dest: qns.entity.node.node.QNode, attr: Dict = {})[source]
Add a request (SD-pair) to the network
- Parameters
src – the source node
dest – the destination node
attr – other attributions
- get_cchannel(name: str)[source]
get the ClassicChannel by its name
- Parameters
name (str) – its name
- Returns
the ClassicChannel
- get_node(name: str)[source]
get the QNode by its name
- Parameters
name (str) – its name
- Returns
the QNode
- get_qchannel(name: str)[source]
get the QuantumChannel by its name
- Parameters
name (str) – its name
- Returns
the QuantumChannel
- install(s: qns.simulator.simulator.Simulator)[source]
install all nodes (including channels, memories and applications) in this network
- Parameters
simulator (qns.simulator.simulator.Simulator) – the simulator
- query_route(src: qns.entity.node.node.QNode, dest: qns.entity.node.node.QNode) List[Tuple[float, qns.entity.node.node.QNode, List[qns.entity.node.node.QNode]]] [source]
query the metric, nexthop and the path
- Parameters
src – the source node
dest – the destination node
- Returns
A list of route paths. The result should be sortted by the priority. The element is a tuple containing: metric, the next-hop and the whole path.
qns.network.requests module
Module contents
- class qns.network.BasicTopology(nodes_number, nodes_apps: List[qns.entity.node.app.Application] = [], qchannel_args: Dict = {}, cchannel_args: Dict = {}, memory_args: Optional[List[Dict]] = {})[source]
Bases:
qns.network.topology.topo.Topology
BasicTopology includes nodes_number Qnodes. None of them are connected with each other
- build() Tuple[List[qns.entity.node.node.QNode], List[qns.entity.qchannel.qchannel.QuantumChannel]] [source]
build the special topology
- Returns
the list of QNodes and the list of QuantumChannel
- class qns.network.DijkstraRouteAlgorithm(name: str = 'dijkstra', metric_func: Optional[Callable[[Union[qns.entity.qchannel.qchannel.QuantumChannel, qns.entity.cchannel.cchannel.ClassicChannel]], float]] = None)[source]
Bases:
qns.network.route.route.RouteImpl
This is the dijkstra route algorithm implement
- build(nodes: List[qns.entity.node.node.QNode], channels: List[Union[qns.entity.qchannel.qchannel.QuantumChannel, qns.entity.cchannel.cchannel.ClassicChannel]])[source]
build static route tables for each nodes
- Parameters
channels – a list of quantum channels or classic channels
- query(src: qns.entity.node.node.QNode, dest: qns.entity.node.node.QNode) List[Tuple[float, qns.entity.node.node.QNode, List[qns.entity.node.node.QNode]]] [source]
query the metric, nexthop and the path
- Parameters
src – the source node
dest – the destination node
- Returns
A list of route paths. The result should be sortted by the priority. The element is a tuple containing: metric, the next-hop and the whole path.
- class qns.network.GridTopology(nodes_number, nodes_apps: List[qns.entity.node.app.Application] = [], qchannel_args: Dict = {}, cchannel_args: Dict = {}, memory_args: Optional[List[Dict]] = {})[source]
Bases:
qns.network.topology.topo.Topology
GridTopology includes nodes_number Qnodes. nodes_number should be a perfect square number. The topology is a square grid pattern, where each node has 4 neighbors.
- build() Tuple[List[qns.entity.node.node.QNode], List[qns.entity.qchannel.qchannel.QuantumChannel]] [source]
build the special topology
- Returns
the list of QNodes and the list of QuantumChannel
- class qns.network.LineTopology(nodes_number, nodes_apps: List[qns.entity.node.app.Application] = [], qchannel_args: Dict = {}, cchannel_args: Dict = {}, memory_args: Optional[List[Dict]] = {})[source]
Bases:
qns.network.topology.topo.Topology
LineTopology includes nodes_number Qnodes. The topology is a line pattern.
- build() Tuple[List[qns.entity.node.node.QNode], List[qns.entity.qchannel.qchannel.QuantumChannel]] [source]
build the special topology
- Returns
the list of QNodes and the list of QuantumChannel
- class qns.network.QuantumNetwork(topo: Optional[qns.network.topology.topo.Topology] = None, route: Optional[qns.network.route.route.RouteImpl] = None, classic_topo: Optional[qns.network.topology.topo.ClassicTopology] = ClassicTopology.Empty, name: Optional[str] = None)[source]
Bases:
object
QuantumNetwork includes several quantum nodes, channels and a special topology
- add_cchannel(cchannel: qns.entity.cchannel.cchannel.ClassicChannel)[source]
add a ClassicChannel into this network.
- Parameters
cchannel (qns.entity.cchannel.cchannel.ClassicChannel) – the inserting ClassicChannel
- add_memories(capacity: int = 0, decoherence_rate: Optional[float] = 0, store_error_model_args: dict = {})[source]
Add quantum memories to every nodes in this network
- Parameters
capacity (int) – the capacity of the quantum memory
decoherence_rate (float) – the decoherence rate
store_error_model_args – the arguments for store_error_model
- add_node(node: qns.entity.node.node.QNode)[source]
add a QNode into this network.
- Parameters
node (qns.entity.node.node.QNode) – the inserting node
- add_qchannel(qchannel: qns.entity.qchannel.qchannel.QuantumChannel)[source]
add a QuantumChannel into this network.
- Parameters
qchannel (qns.entity.qchannel.qchannel.QuantumChannel) – the inserting QuantumChannel
- add_request(src: qns.entity.node.node.QNode, dest: qns.entity.node.node.QNode, attr: Dict = {})[source]
Add a request (SD-pair) to the network
- Parameters
src – the source node
dest – the destination node
attr – other attributions
- get_cchannel(name: str)[source]
get the ClassicChannel by its name
- Parameters
name (str) – its name
- Returns
the ClassicChannel
- get_node(name: str)[source]
get the QNode by its name
- Parameters
name (str) – its name
- Returns
the QNode
- get_qchannel(name: str)[source]
get the QuantumChannel by its name
- Parameters
name (str) – its name
- Returns
the QuantumChannel
- install(s: qns.simulator.simulator.Simulator)[source]
install all nodes (including channels, memories and applications) in this network
- Parameters
simulator (qns.simulator.simulator.Simulator) – the simulator
- query_route(src: qns.entity.node.node.QNode, dest: qns.entity.node.node.QNode) List[Tuple[float, qns.entity.node.node.QNode, List[qns.entity.node.node.QNode]]] [source]
query the metric, nexthop and the path
- Parameters
src – the source node
dest – the destination node
- Returns
A list of route paths. The result should be sortted by the priority. The element is a tuple containing: metric, the next-hop and the whole path.
- class qns.network.RandomTopology(nodes_number, lines_number: int, nodes_apps: List[qns.entity.node.app.Application] = [], qchannel_args: Dict = {}, cchannel_args: Dict = {}, memory_args: Optional[List[Dict]] = {})[source]
Bases:
qns.network.topology.topo.Topology
RandomTopology includes nodes_number Qnodes. The topology is randomly generated.
- build() Tuple[List[qns.entity.node.node.QNode], List[qns.entity.qchannel.qchannel.QuantumChannel]] [source]
build the special topology
- Returns
the list of QNodes and the list of QuantumChannel
- class qns.network.Request(src, dest, attr: Dict = {})[source]
Bases:
object
A request is a source-destination pair represents a quantum transmitting request.
- class qns.network.RouteImpl(name: str = 'route')[source]
Bases:
object
This is the route protocol interface
- build(nodes: List[qns.entity.node.node.QNode], channels: List[Union[qns.entity.qchannel.qchannel.QuantumChannel, qns.entity.cchannel.cchannel.ClassicChannel]])[source]
build static route tables for each nodes
- Parameters
channels – a list of quantum channels or classic channels
- query(src: qns.entity.node.node.QNode, dest: qns.entity.node.node.QNode) List[Tuple[float, qns.entity.node.node.QNode, List[qns.entity.node.node.QNode]]] [source]
query the metric, nexthop and the path
- Parameters
src – the source node
dest – the destination node
- Returns
A list of route paths. The result should be sortted by the priority. The element is a tuple containing: metric, the next-hop and the whole path.
- class qns.network.Topology(nodes_number: int, nodes_apps: List[qns.entity.node.app.Application] = [], qchannel_args: Dict = {}, cchannel_args: Dict = {}, memory_args: Optional[List[Dict]] = {})[source]
Bases:
object
Topology is a factory for QuantumNetwork
- add_cchannels(classic_topo: qns.network.topology.topo.ClassicTopology = ClassicTopology.Empty, nl: List[qns.entity.node.node.QNode] = [], ll: Optional[List[qns.entity.qchannel.qchannel.QuantumChannel]] = None)[source]
build classic network topology
- Parameters
classic_topo (ClassicTopology) – Classic topology, ClassicTopology.Empty -> no connection ClassicTopology.All -> every nodes are connected directly ClassicTopology.Follow -> follow the quantum topology
nl (List[qns.entity.node.node.QNode]) – a list of quantum nodes
ll (List[qns.entity.qchannel.qchannel.QuantumChannel]) – a list of quantum channels
- build() Tuple[List[qns.entity.node.node.QNode], List[qns.entity.qchannel.qchannel.QuantumChannel]] [source]
build the special topology
- Returns
the list of QNodes and the list of QuantumChannel
- class qns.network.TreeTopology(nodes_number, children_number: int = 2, nodes_apps: List[qns.entity.node.app.Application] = [], qchannel_args: Dict = {}, cchannel_args: Dict = {}, memory_args: Optional[List[Dict]] = {})[source]
Bases:
qns.network.topology.topo.Topology
TreeTopology includes nodes_number Qnodes. The topology is a tree pattern, where each parent has children_num children.
- build() Tuple[List[qns.entity.node.node.QNode], List[qns.entity.qchannel.qchannel.QuantumChannel]] [source]
build the special topology
- Returns
the list of QNodes and the list of QuantumChannel
- class qns.network.WaxmanTopology(nodes_number: int, size: float, alpha: float, beta: float, nodes_apps: List[qns.entity.node.app.Application] = [], qchannel_args: Dict = {}, cchannel_args: Dict = {}, memory_args: Optional[List[Dict]] = {})[source]
Bases:
qns.network.topology.topo.Topology
WaxmanTopology is the random topology generator using Waxman’s model.
- build() Tuple[List[qns.entity.node.node.QNode], List[qns.entity.qchannel.qchannel.QuantumChannel]] [source]
build the special topology
- Returns
the list of QNodes and the list of QuantumChannel