A hybrid Lindblad-master-equation noise model with 10 parameters per qubit and 3 per pair predicts RB, dynamical-decoupling, and H2 VQE dynamics on IBM transmon hardware, reaching 0.5% relative energy error at the optimal bond length.
Dynamically Generated Decoherence-Free Subspaces and Subsystems on Superconducting Qubits
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abstract
Decoherence-free subspaces and subsystems (DFS) preserve quantum information by encoding it into symmetry-protected states unaffected by decoherence. An inherent DFS of a given experimental system may not exist; however, through the use of dynamical decoupling (DD), one can induce symmetries that support DFSs. Here, we provide the first experimental demonstration of DD-generated DFS logical qubits. Utilizing IBM Quantum superconducting processors, we investigate two and three-qubit DFS codes comprising up to six and seven noninteracting logical qubits, respectively. Through a combination of DD and error detection, we show that DFS logical qubits can achieve up to a 23% improvement in state preservation fidelity over physical qubits subject to DD alone. This constitutes a beyond-breakeven fidelity improvement for DFS-encoded qubits. Our results showcase the potential utility of DFS codes as a pathway toward enhanced computational accuracy via logical encoding on quantum processors.
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Sparse Non-Markovian Noise Modeling of Transmon-Based Multi-Qubit Operations
A hybrid Lindblad-master-equation noise model with 10 parameters per qubit and 3 per pair predicts RB, dynamical-decoupling, and H2 VQE dynamics on IBM transmon hardware, reaching 0.5% relative energy error at the optimal bond length.