Syndrome Measurement Strategies for the [[7,1,3]] Code

TL;DR

This paper compares different syndrome measurement protocols for the [[7,1,3]] quantum error correction code through simulations, revealing that optimal strategies depend on the error environment and that simpler methods can perform comparably to fault-tolerant ones.

Contribution

It provides a comparative analysis of syndrome measurement strategies for the [[7,1,3]] code, highlighting the impact of measurement frequency and environment on fidelity and resource use.

Findings

Optimal measurement timing varies with error environment

Unnecessary syndrome measurements can improve accuracy or reduce resources

Single-qubit non-fault tolerant measurement achieves similar fidelity to fault-tolerant methods

Abstract

Quantum error correction (QEC) entails the encoding of quantum information into a QEC code space, measuring error syndromes to properly locate and identify errors, and, if necessary, applying a proper recovery operation. Here we compare three syndrome measurement protocols for the [[7,1,3]] QEC code: Shor states, Steane states, and one ancilla qubit by simulating the implementation of 50 logical gates with the syndrome measurements interspersed between the gates at different intervals. We then compare the fidelities for the different syndrome measurement types. Our simulations show that the optimal syndrome measurement strategy is generally not to apply syndrome measurements after every gate but depends on the details of the error environment. Our simulations also allow a quantum computer programmer to weigh computational accuracy versus resource consumption (time and number of qubits) for a particular error environment. In addition, we show that applying syndrome measurements that are unnecessary from the standpoint of quantum fault tolerance may be helpful in achieving better accuracy or in lowering resource consumption. Finally, our simulations demonstrate that the single-qubit non-fault tolerant syndrome measurement strategy achieves comparable fidelity to those that are fault tolerant.