Graphix is a measurement-based quantum computing (MBQC) software package, featuring
Install graphix
with pip
:
$ pip install graphix
Install together with device interface:
$ pip install graphix[extra]
this will install graphix
and inteface for IBMQ and Perceval to run MBQC patterns on superconducting and optical QPUs and their simulators.
from graphix import Circuit
circuit = Circuit(4)
circuit.h(0)
...
pattern = circuit.transpile()
pattern.draw_graph()
note: this graph is generated from QAOA circuit, see our example code. Arrows indicate the causal flow of MBQC and dashed lines are the other edges of the graph. the vertical dashed partitions and the labels 'l:n' below indicate the execution layers or the order in the graph (measurements should happen from left to right, and nodes in the same layer can be measured simultaneously), based on the partial order associated with the (maximally-delayed) flow.
pattern.perform_pauli_measurements()
pattern.draw_graph()
(here, the graph is visualized based on generalized flow.)
state_out = pattern.simulate_pattern(backend='statevector')
See demos showing other features of graphix
.
Read the tutorial for more usage guides.
For theoretical background, read our quick introduction into MBQC and LC-MBQC.
Full API docs is here.
Shinichi Sunami and Masato Fukushima, Graphix. (2023) https://doi.org/10.5281/zenodo.7861382