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Abstract An important measure of the development of quantum computing platforms has been the simulation of increasingly complex physical systems. Before fault-tolerant quantum computing, robust error-mitigation strategies were necessary to continue this growth. Here, we validate recently introduced error-mitigation strategies that exploit the expectation that the ideal output of a quantum algorithm would be a pure state.
Device Our quantum processor (fig. S1) follows a three-qubit–frequency extensible layout with nearest-neighbor interactions that is designed for the surface code (41). Our chip contains low- and high-frequency data qubits (QDL and QDH) and an intermediate-frequency ancilla (QA). SQ gates around axes in the equatorial plane of the Bloch sphere are performed via a dedicated microwave drive line for each qubit.
A QEC code can be defined by listing the data qubits and the stabilizer measurements that are repeatedly performed upon them.34 In this way, Surface-17 is defined by a 3?×?3 grid of data qubits {D , … D }. In order to stabilize a single logical qubit, 9???1?=?8 commuting measurements are performed.
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