QubitHub

qubithubexpressibility

Quantifies ansatz expressiveness via fidelity sampling and KL divergence from the Haar-random distribution, comparing simple, HEA, and strongly entangling architectures (Sim et al. 2019).

RunCite
Framework
Cirq
Qubits
4
Depth
9
Gate set
RY, RZ, CZ +1
Licence
Apache-2.0
Version
v1
Updated
13 hours ago
Runs
None completed

4 files · v1

Files

FileSize
metadata.json459 B
qubithub.toml358 B
circuit.py20 KB
README.md9.4 KB

Lineage

Not a fork.

No forks yet.

Suggested citation

@software{qubithub_expressibility_2026,
  author = {QubitHub Circuits},
  title = {Expressibility Analysis},
  year = {2026},
  version = {v1},
  url = {https://qubithub.co/qubithub/expressibility},
}

Generated from this circuit's metadata. QubitHub does not mint DOIs, so this is not a registered identifier — check it against your venue's requirements before publishing.