Distributed Algorithms

The Algorithms module provides three complete distributed quantum algorithms that compose the remote gates defined in RemoteGates.

Bell-state entanglement generation

Cross-QPU Bell-state creation using a single noisy remote CNOT. This serves as the foundational benchmark: the measured Bell-state fidelity directly characterises channel quality as a function of fiber length and fiber type, reproducing Figure 5 of the paper.

Quantum Fourier Transform (QFT)

A five-qubit QFT split across two virtual QPUs. QPU A holds two processing qubits (QA1, QA2); QPU B holds three (QB1, QB2, QB3). Each controlled-phase rotation that crosses the QPU boundary is implemented as a noisy remote_cp call. Fidelity is evaluated via quantum state tomography and compared against both the noiseless ideal and a monolithic baseline.

To avoid the SWAP layer present in the standard monolithic circuit, the qubit order is rearranged so that QA2 (the most significant qubit) appears first in the circuit, eliminating the final reversal at no extra gate cost.

from QdcEm.Algorithms import qft_5qubit_annotated_Distributed

qc = qft_5qubit_annotated_Distributed(
    Steps             = 3,
    kappa_Fiber       = 0.04,
    kappa_Transductor = 0.5,
)

Note

All three algorithms return an unmeasured QuantumCircuit. Add measurement gates and submit to AerSimulator or a live backend as shown in the Quickstart.