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Quantum Computing, Communication, and Simulation

Dynamic quantum process tomography on the Washington DC metropolitan quantum network (DC-QNet)

Cory M. Nunn, Wayne McKenzie, Evan Dowling, Jing Su, Daniel E. Jones, Ivan A. Burenkov, Sergey V. Polyakov, Joseph M. Lukens, Brian T. Kirby

Published Mar 5, 2026• 0 citations

Abstract

In a large-scale quantum network, quantum process tomography is a powerful tool for quantifying and verifying the quality of quantum channels. Within this framework, ancilla-assisted process tomography (AAPT) provides a significant advantage for in situ network metrology, as the same states used for entanglement distribution can also be used for tomography. Here, we perform AAPT within a reconfigurable three-node topology on the Washington DC metropolitan quantum network (DC-QNet), consisting of deployed fiber links up to 11.5 km in length. Using a source of polarization-entangled photon pairs at one node, single photons are routed to either of the two receiver nodes via optical switch, and correlations to the local (ancilla) qubits are leveraged to characterize all relevant links in the network. Additionally, AAPT performance is characterized in the presence of noise from coexistent classical synchronization signals, and the advantages of dynamic routing are shown theoretically for larger network topologies.

DOI: 10.1117/12.3077733

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Complete and precise characterization of a quantum dynamical process can be achieved via the method of quantum process tomography. Using a source of correlated photons, we have implemented several methods, each investigating a wide range of processes, e.g., unitary, decohering, and polarizing. One of these methods, ancilla-assisted process tomography (AAPT), makes use of an additional "ancilla system," and we have theoretically determined the conditions when AAPT is possible. Surprisingly, entanglement is not required. We present data obtained using both separable and entangled input states. The use of entanglement yields superior results, however.

The active stabilization of polarization channels is a task of growing importance as quantum networks move to deployed demonstrations over existing fiber infrastructure. However, the uniquely strict requirements for high-fidelity qubit transmission complicate the extent to which classical solutions may apply to future quantum networks, particularly in terms of recognizing noise sources present in low-flux, nonunitary channels. Here we introduce a novel in situ benchmarking approach that augments a classical polarization tracking system, limited to unitary correction, with simultaneously transmitted quantum light for ancilla-assisted process tomography of the full quantum map. Implemented in a local-area quantum network, our method uses the reconstructed map both to validate the classical compensation and to expose noise sources it fails to capture. A sliding measurement window that continuously updates the estimated quantum process further increases sensitivity to rapid channel fluctuations. Our results should unlock new opportunities for in situ channel characterization in quantum-classical coexistence networks.

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