YQI Seminar - Julian Kelly - Google

Many promising practical applications using quantum computers will require error rates below 1e-10, but state-of-the-art hardware features physical error rates near 1e-3. Quantum error correction theoretically promises to bridge this divide by combining physical qubits into logical qubits, and exponentially reducing error rates according to the number of physical qubits used. In this work, we run distance 3-11 repetition codes and distance 2 surface codes in the Sycamore superconducting qubit architecture. Using repetition codes, we demonstrate exponential suppression of bit or phase errors with 100x reduction in error rate from d=3 to d=11, even after 50 rounds of measurement. We also show that our device is well described by a simple depolarizing error model, allowing us to project the performance of larger codes. The exponential suppression of error and validation of theoretical assumptions about the behavior of errors provides further evidence that surface codes with superconducting qubits are a viable path towards a fault tolerant quantum computer.

 

Zoom link (Yale login required): https://yale.zoom.us/j/92185930684