Bases: pyCTQW.MPI.ctqw.QuantumWalkP1
Performs and analyses 1 particle continuous-time quantum walks on graphs
| Parameters: | N (int) – number of nodes to initialize the walker with. Nodes are labeled \(j\in\{0,N-1\}\). |
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Example
To create a CTQW Graph object for a 10 node graph,
>>> walk = pyCTQW.MPI.Graph(10)
| Graph.clearLiveGraph() | Destroys the live plot object previously created by Graph.plotLiveGraph(). |
| Graph.createH(filename, filetype[, d, amp, ...]) | Generate the Hamiltonian of the graph. |
| Graph.createInitState(initState) | Generate the initial state of the quantum walk. |
| Graph.destroy() | Destroys the 1 particle quantum walk object, and all associated PETSc matrices/vectors. |
| Graph.exportState(filename, filetype) | Exports the final state of the quantum walk to a file. |
| Graph.importInitState(filename, filetype) | Imports the initial state of the quantum walk from a file. |
| Graph.plot(filename) | Creates a plot of probability vs node. |
| Graph.plotGraph([output, probX, size]) | Creates a plot of probability vs node superimposed on a 3D visualisation of the graph vertices. |
| Graph.plotLiveGraph(dt[, size]) | Creates a live, updated plot of probability vs node superimposed on a 3D visualisation of the graph vertices. |
| Graph.plotNodes(filename[, t]) | Creates a plot of the node probablities over time. |
| Graph.propagate(t[, method]) | Propagates the quantum walk for time t. |
| Graph.psiToInit() | Copies the state self.psi to self.psi0. |
| Graph.watch(nodes) | Creates a handle that watches node probability during propagation. |
| Attribute | Type | Description |
| Graph.psi0 | petsc4py.PETSc.Vec() | \(N\) element PETSc vector containing the initial state |
| Graph.psi | petsc4py.PETSc.Vec() | \(N\) element PETSc vector containing the final state after the last propagation. |
| Graph.H | pyCTQW.MPI.ctqw.Hamiltonian() | Hamiltonian matrix |
| Graph.EigSolver | pyCTQW.MPI.ctqw.EigSolver() | The Hamiltonian eigensolver |
| Graph.handle | pyCTQW.MPI.ctqw.nodeHandle() | A node handle, created if nodes are being watched for probability. |