Data and code for collision-model Dicke-state preparation: depth-fidelity frontiers, circuit costs, and superconducting-processor measurements
Researchers released the data and code accompanying a study of collision-model preparation of Dicke states. The work reports depth–fidelity trade-offs, circuit resource costs, and measurements taken on superconducting quantum processors. Dicke states are multipartite entangled states with a fixed number of excitations shared across qubits, relevant to quantum sensing and networking.
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What this could mean
- 0–2 yearsPlausible
The released code and measured baselines could let other groups test whether collision-model Dicke-state circuits reduce depth enough to become a standard preparation route for fixed-excitation sensing states on noisy superconducting processors.
The dataset includes depth-fidelity tradeoffs and hardware measurements, lowering the barrier to reproduce and compare against conventional preparation circuits. If the reported depth reductions persist across current devices, they could be adopted within typical near-term experiments over the next two years.
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