A graph state assigns one qubit to each vertex of an undirected graph. Begin with all qubits in and apply a Controlled-Z gate for every edge.
The Controlled-Z gates commute, so their ordering does not change the result. On a computational-basis state , each occupied edge contributes ; the amplitudes retain equal magnitude but acquire graph-dependent phases. An isolated vertex remains in the product state , while edges can create entanglement. [ref]
Qiskit quantum gate documentation by IBM. IBM Quantum, GraphState: preparation by plus states and one controlled-Z per edge
Let be a leaf with neighbour and let the graph on the other vertices be generated by the Controlled-Z gate product . If the leaf has Pauli Z gate frame , measuring it at angle with result applies one-bit teleportation and leavesAny known Pauli Z gate frames on other vertices remain as additional factors before those vertices' input states. The identity combines the leaf byproduct with the measurement result.
For a graph state , measuring vertex in the computational basis with result gives the normalized stateEach Controlled-Z gate from to a neighbour acts as after projecting onto ; all other edges remain unchanged. The projection contributes , so either result has probability . For a four-cycle, deleting one vertex leaves a path and adds byproducts on its two endpoints.
The graph-state stabilizer generator at vertex is . Two such generators commute because adjacent vertices contribute two Pauli anticommutations and nonadjacent vertices contribute none.
Local complementation at a vertex toggles every edge between neighbors of . It is implemented on graph states, up to global phase, by the local Clifford operator
Articles by others on the same topic
A **graph state** is a special type of quantum state associated with a certain graph in quantum information theory. Graph states are fundamental in the context of quantum computing and quantum information processing, particularly in the study of quantum entanglement. Here's a more detailed explanation: 1. **Graph Representation**: A graph \( G \) is defined by a set of vertices (or nodes) \( V \) and edges \( E \) that connect pairs of vertices.