Removing leakage-induced correlated errors in superconducting quantum error correction.
Removing leakage-induced correlated errors in superconducting quantum error correction.
复制标题
DOI:
10.1038/s41467-021-21982-y
复制
发表时间:
2021-03-19
影响因子:
16.6
通讯作者:
Barends R
中科院分区:
文献类型:
--
作者:
McEwen M;Kafri D;Chen Z;Atalaya J;Satzinger KJ;Quintana C;Klimov PV;Sank D;Gidney C;Fowler AG;Arute F;Arya K;Buckley B;Burkett B;Bushnell N;Chiaro B;Collins R;Demura S;Dunsworth A;Erickson C;Foxen B;Giustina M;Huang T;Hong S;Jeffrey E;Kim S;Kechedzhi K;Kostritsa F;Laptev P;Megrant A;Mi X;Mutus J;Naaman O;Neeley M;Neill C;Niu M;Paler A;Redd N;Roushan P;White TC;Yao J;Yeh P;Zalcman A;Chen Y;Smelyanskiy VN;Martinis JM;Neven H;Kelly J;Korotkov AN;Petukhov AG;Barends R
Quantum computing can become scalable through error correction, but logical error rates only decrease with system size when physical errors are sufficiently uncorrelated. During computation, unused high energy levels of the qubits can become excited, creating leakage states that are long-lived and mobile. Particularly for superconducting transmon qubits, this leakage opens a path to errors that are correlated in space and time. Here, we report a reset protocol that returns a qubit to the ground state from all relevant higher level states. We test its performance with the bit-flip stabilizer code, a simplified version of the surface code for quantum error correction. We investigate the accumulation and dynamics of leakage during error correction. Using this protocol, we find lower rates of logical errors and an improved scaling and stability of error suppression with increasing qubit number. This demonstration provides a key step on the path towards scalable quantum computing. Correlated errors coming from leakage out of the computational subspace are an obstacle to fault-tolerant superconducting circuits. Here, the authors use a multi-level reset protocol to improve the performances of a bit-flip error correcting code by reducing the magnitude of correlations.
登录
查看更多内容
影响因子:
64.8
作者:
Google Quantum AI
通讯作者:
Google Quantum AI
影响因子:
64.8
作者:
Barends, R.;Kelly, J.;Martinis, John M.
通讯作者:
Martinis, John M.
影响因子:
64.8
作者:
Arute, Frank;Arya, Kunal;Martinis, John M.
通讯作者:
Martinis, John M.
影响因子:
8.6
作者:
Jeffrey, Evan;Sank, Daniel;Martinis, John M.
通讯作者:
Martinis, John M.
影响因子:
2.9
作者:
Martinis, John M.;Geller, Michael R.
通讯作者:
Geller, Michael R.