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.

Encoding-to-architecture routing matrix

The two layers are composable rather than mutually exclusive. Use the row to choose what carries the information, then the column to choose how the machine obtains entangling power and fault tolerance.

Encoding routeGate-based linear opticsCluster-state MBQCFusion-based architecture
dual-rail-photonic-qubitCanonical KLM-style carrier: beam splitters and phase shifters act directly on spatial railsNatural graph-state carrier when dual-rail photons are prepared and consumed by adaptive measurementsNatural fit for discrete Bell/fusion measurements; loss is usually a detectable rail-vacancy event
polarization-photonic-qubitCompact single-qubit control and common proof-of-principle LOQC encodingWidely used for small photonic cluster demonstrationsFusion-compatible, but deployed systems inherit polarization-drift and mode-matching burdens
time-bin-photonic-qubitPossible, but active switching and interferometric delay stability replace simple on-chip rail routingStrong fit for sequentially emitted and temporally multiplexed cluster statesStrong fit when repeated source cycles and delay networks feed fusion attempts
frequency-bin-photonic-qubitElectro-optic mixing supplies dense mode transformations in place of spatial interferometer meshesUseful when frequency-comb modes supply a multiplexed graph-state resourcePromising multiplexing layer for routing successful attempts, not a distinct fusion rule by itself
continuous-variable-photonic-qubitDo not route through discrete single-photon KLM by default; Gaussian mode transformations are deterministic but not universal aloneCV cluster states are native, with non-Gaussian resources or bosonic encodings needed for fault toleranceKeep separate from the discrete-qubit fusion branch unless a specific hybrid or GKP construction supplies the bridge

photonic-qubit does not occupy one cell: it is the carrier-level umbrella above the matrix. Likewise, linear-optical-photonic-qubit, photonic-cluster-state-mbqc-qubit, and fusion-based-photonic-qubit label columns rather than alternative encodings. This prevents a category error such as asking whether “dual rail or fusion based” is the better qubit—the former chooses a Hilbert-space encoding, while the latter chooses a resource-building architecture.

Where the umbrella note belongs