Qubit ZooA photonic qubit architecture specialized for measurement-based quantum computing (MBQC), where large photonic cluster states are prepared as entangled resources and computation proceeds through adaptive single-qubit measurements and feed-forward.
Physics
The model follows one-way quantum computing: initialize a graph-state resource (|G\rangle), then enact logic via local measurements in chosen bases. In photonic implementations, entanglement generation is realized with linear-optical circuits and probabilistic fusion operations.
Hamiltonian / Stabilizer Model
Cluster states are defined as simultaneous +1 eigenstates of graph stabilizers:
where is the neighborhood of vertex in the cluster graph. A parent Hamiltonian with as unique ground state is:
Computation proceeds by adaptive local measurements, effectively teleporting logical information through the graph while implementing gates via measurement basis choices.
Why it matters
- Separates resource preparation (cluster generation) from algorithm execution (measurement sequence).
- Converts weak or probabilistic photonic interactions into a scalable computation model via resource states.
- Provides a distinct architectural path from gate-by-gate KLM-style photonic circuits.
Key Metrics
| Metric | Value | Notes | Fidelity reference |
|---|---|---|---|
| Computation model | One-way MBQC on cluster states | Universal computation by adaptive measurements | raussendorf-2000-quantum-computing-via-measurements-only, nielsen-2004-optical-quantum-computation-using-cluster |
| Cluster-state generation primitive | Linear optics + fusion/parity-style operations | Resource-efficient photonic construction strategy | browne-2005-resource-efficient-linear-optical |
| Dominant scaling bottleneck | Loss and source/detector efficiency | Primary practical limitation in photonic MBQC implementations | browne-2005-resource-efficient-linear-optical, kok-2005-review-article-linear-optical |
Figure
Linked Papers
- raussendorf-2000-quantum-computing-via-measurements-only
- nielsen-2004-optical-quantum-computation-using-cluster
- browne-2005-resource-efficient-linear-optical