Curated map of Zoo entries in the Photonic family.

Entries

EntryTypeStatus
fusion-based-photonic-qubitarchitectureproposed
linear-optical-photonic-qubitarchitecturedemonstrated
photonic-cluster-state-mbqc-qubitarchitecturedemonstrated
dual-rail-photonic-qubitqubitdemonstrated
frequency-bin-photonic-qubitqubitdemonstrated
photonic-qubitqubitdemonstrated
polarization-photonic-qubitqubitdemonstrated
time-bin-photonic-qubitqubitdemonstrated
continuous-variable-photonic-qubitqumodedemonstrated

Composition

  • architecture: 3
  • qubit: 5
  • qumode: 1

Curated synthesis

The highest-value organizing move in this family is to separate photonic encodings from photonic computation models. Otherwise the graph quietly conflates “what degree of freedom stores the qubit?” with “how do we actually get entangling power and fault tolerance?”

  1. Encodings optimized for different physical routes

    • dual-rail-photonic-qubit is the canonical chip-scale / LOQC encoding when spatial modes and integrated interferometers are the native hardware language.
    • time-bin-photonic-qubit is the fiber-native encoding when long-distance stability and network transport matter more than on-chip rail geometry.
    • polarization-photonic-qubit is the most direct single-photon Bloch-sphere encoding, with compact wave-plate control but polarization drift in deployed links.
    • frequency-bin-photonic-qubit uses discrete spectral modes and is especially natural for electro-optic control, dense multiplexing, and frequency-comb hardware.
    • These should be read together through erasure-error-vs-pauli-error and noise-bias-and-asymmetric-error-channels: all are loss-dominated photonic qubits, but they package mode matching and phase-stability constraints very differently.
  2. Continuous-variable photonics is a different information model

    • continuous-variable-photonic-qubit is correctly typed as a qumode, not a discrete qubit. Gaussian gates are deterministic and time multiplexing reaches enormous mode counts, but universality and fault tolerance require non-Gaussian resources such as GKP states.
    • Route from it to bosonic-code-hierarchy when the question becomes how a continuous oscillator is converted into a protected logical qubit.
  3. Gate-based linear optics is an architecture, not an encoding

  4. Resource-state / measurement-first photonics is the modern scaling branch

    • photonic-cluster-state-mbqc-qubit shifts the burden from online gates to offline cluster-state preparation plus adaptive measurement.
    • fusion-based-photonic-qubit goes one step further and treats failed entangling attempts as an architectural primitive rather than an exception.
    • Both belong in the same fault-tolerance conversation because they live or die on whether loss and fusion failures stay structured enough for erasure-aware decoding and percolation-style thresholds.

Where the umbrella note belongs