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GraphiQ: Quantum circuit design for photonic graph states¶

About the project¶

GraphiQ is an open-source framework for designing photonic graph state generation schemes. Photonic graph states are an important resource for many quantum information processing tasks including quantum computing and quantum communication.

Version 0.1.0 was jointly developed by Quantum Bridge Technologies, Inc. ("Quantum Bridge") and Ki3 Photonics Technologies under the US Air Force Office of Scientific Research (AFOSR) Grant FA9550-22-1-0062.

What can it do?¶

Basic usage¶

import graphiq as gq
from graphiq.benchmarks.circuits import bell_state_circuit
import networkx as nx

#%%
circuit, _ = bell_state_circuit()
backend = gq.StabilizerCompiler()
state = backend.compile(circuit)
print(state)

#%%
target = gq.QuantumState(data=nx.Graph([(1, 2), (2, 3)]), rep_type="g")
metric = gq.Infidelity(target=target)
solver = gq.TimeReversedSolver(compiler=backend, metric=metric, target=target)

#%%
solver.solve()
score, circuit = solver.result
circuit.draw_circuit()

Installation¶

pip install graphiq

This package is built on top of the standard Python scientific computing ecosystem, including networkx, numpy, matplotlib, and scipy.