APS Global Physics Summit Logo March 16–21, 2025, Anaheim, CA and virtual
Focus Session
March

Superconducting Cat Qubits

8:00 am – 11:00 am, Monday March 17 Session MAR-A17 Anaheim Convention Center, 161 (Level 1)
Chair:
Kyungjoo Noh, Amazon.com, Inc.
Topics:
Sponsored by
DQI

Benchmarking Single-Qubit Gates on a Noise-Biased Qubit: Kerr cat qubit

9:48 am – 10:00 am
Presenter: Bingcheng Qing (University of California, Berkeley)
Authors: AHMED HAJR (University of California, Berkeley), Ke Wang (University of California, Berkeley), Zahra Pedramrazi (University of California, Berkeley), Irwin Huang (University of Rochester), Bibek Bhandari (Chapman University), Larry Chen (University of California, Berkeley), Justin Dressel (Chapman University), Noah Goss (University of California, Berkeley), Andrew Jordan (Chapman University), Long Nguyen (University of California, Berkeley), David Santiago (Lawrence Berkeley National Laboratory), Gerwin Koolstra (EeroQ Quantum Hardware), Irfan Siddiqi (University of California, Berkeley)

The exploration of noise structures in quantum systems has driven the development of hardware-efficient quantum error correction protocols. Specifically, developing quantum error correction codes tailored for biased-noise systems has emerged as a promising avenue to achieve fault-tolerance due to their high error thresholds. However, the operation of such protected platforms is believed to be challenging and their comprehensive gate benchmarking and noise characterization remain incomplete, hindering their application in quantum error correction. In this work, we leverage Schrödinger cat states in a 2D superconducting nonlinear oscillator and novel benchmarking tools to thoroughly characterize and demonstrate the high-fidelity quantum operations with performance crossing the fault-tolerant threshold of the XZZX surface code. This result thus embodies a transformative milestone in the exploration of quantum architectures protected from an error channel. Notably, our framework is extensible to other types of biased-noise systems, paving the way for systematic characterization and validation of novel quantum platforms with structured noise.

PRESENTATIONS (13)