Dissipative Dynamics of Graph-State Stabilizers with Superconducting Qubits

• URL: http://arxiv.org/abs/2308.01860v2
• Date: Thu, 4 Jan 2024 14:54:04 GMT
• Title: Dissipative Dynamics of Graph-State Stabilizers with Superconducting Qubits
• Authors: Liran Shirizly, Gr\'egoire Misguich and Haggai Landa
• Abstract summary: We study the noisy evolution of multipartite entangled states, focusing on superconducting-qubit devices accessible via the cloud. We introduce an approach modeling the charge-parity splitting using an extended Markovian environment. We show that the underlying many-body dynamics generate decays and revivals of stabilizers, which are used extensively in the context of quantum error correction.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We study experimentally and numerically the noisy evolution of multipartite entangled states, focusing on superconducting-qubit devices accessible via the cloud. We find that a valid modeling of the dynamics requires one to properly account for coherent frequency shifts, caused by stochastic charge-parity fluctuations. We introduce an approach modeling the charge-parity splitting using an extended Markovian environment. This approach is numerically scalable to tens of qubits, allowing us to simulate efficiently the dissipative dynamics of some large multiqubit states. Probing the continuous-time dynamics of increasingly larger and more complex initial states with up to 12 coupled qubits in a ring-graph state, we obtain a good agreement of the experiments and simulations. We show that the underlying many-body dynamics generate decays and revivals of stabilizers, which are used extensively in the context of quantum error correction. Furthermore, we demonstrate the mitigation of two-qubit coherent interactions (crosstalk) using tailored dynamical decoupling sequences. Our noise model and the numerical approach can be valuable to advance the understanding of error correction and mitigation and invite further investigations of their dynamics.

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