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- W4297091330 abstract "Quantum process tomography is a pivotal technique in fully characterizing quantum dynamics. However, exponential scaling of the Hilbert space with the increasing system size extremely restrains its experimental implementations. Here, we put forward a more efficient, flexible, and error-mitigated method: variational entanglement-assisted quantum process tomography with arbitrary ancillary qubits. Numerically, we simulate up to eight-qubit quantum processes and show that this tomography with m ancillary qubits (0≤m≤n) alleviates the exponential costs on state preparation (from 4^{n} to 2^{n-m}), measurement settings (at least a 1 order of magnitude reduction), and data postprocessing (efficient and robust parameter optimization). Experimentally, we first demonstrate our method on a silicon photonic chip by rebuilding randomly generated one-qubit and two-qubit unitary quantum processes. Further using the error mitigation method, two-qubit quantum processes can be rebuilt with average gate fidelity enhanced from 92.38% to 95.56%. Our Letter provides an efficient and practical approach to process tomography on the noisy quantum computing platforms." @default.
- W4297091330 created "2022-09-27" @default.
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- W4297091330 date "2022-09-23" @default.
- W4297091330 modified "2023-10-16" @default.
- W4297091330 title "Variational Entanglement-Assisted Quantum Process Tomography with Arbitrary Ancillary Qubits" @default.
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- W4297091330 doi "https://doi.org/10.1103/physrevlett.129.133601" @default.
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