Estimating overheads for quantum fault-tolerance in the honeycomb code

The honeycomb code is an exciting new quantum error-correcting code on which the logical observables dance around periodically. This dance permits logical qubits embedded naturally in a sparse qubit lattice, with check operators that are constructed from products of anticommuting…

Estimating overheads for quantum fault-tolerance in the honeycomb code

Source

0
(0)

The honeycomb code is an exciting new quantum error-correcting code on which the logical observables dance around periodically. This dance permits logical qubits embedded naturally in a sparse qubit lattice, with check operators that are constructed from products of anticommuting weight-two measurements. However, these experimentally amenable properties come at an error-corrective cost. In this talk, we discuss estimates for the overhead of quantum error-correction using the honeycomb code, and compare it with the popular surface code. We’ll touch on different metrics for comparing the two, as well as the (mostly open-source) software that greatly simplified these comparisons.

Speaker: Mike Newman

Watch more Google Quantum AI Talks → https://goo.gle/QuantumAITalks
Subscribe to Google Quantum AI → https://goo.gle/QuantumAI

#QuantumAITalks

fullname: Michael Newman; re_ty: Publish;

0 / 5. 0