Abstracts

And Yet It Scales!

Presenting Author: Dave Bacon, Google

The promise of quantum error correction is that one can reduce the effects of decoherence and noise by encoding information across multiple physical degrees of freedom. A key property of these schemes is that they reduce the noise exponentially as one grows the number of physical subsystems. In this talk I'll discuss the recent experiment we performed at Google that demonstrated this effect. In particular our experiment showed that a distance-5 surface code logical qubit modestly outperforms an ensemble of distance-3 logical qubits on average, both in terms of logical error probability over 25 cycles and logical error per cycle (2.914%\(\pm\)0.016% compared to 3.028\(\pm\)0.023%).

(Session 14 : from 5:30 pm - 6:15 pm)

 

SQuInT Chief Organizer
Akimasa Miyake, Associate Professor
amiyake@unm.edu

SQuInT Co-Organizer
Hartmut Haeffner, Associate Professor, UC Berkeley
hhaeffner@berkeley.edu

SQuInT Administrator
Dwight Zier
d29zier@unm.edu
505 277-1850

SQuInT Program Committee
Alberto Alonso, Postdoc, UC Berkeley
Philip Blocher, Postdoc, UNM
Neha Yadav, Postdoc, UC Berkeley
Cunlu Zhou, Postdoc, UNM

SQuInT Founder
Ivan Deutsch, Regents' Professor, CQuIC Director
ideutsch@unm.edu

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