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Realizing topologically ordered states on a quantum processor.

Authors :
Satzinger KJ
Liu YJ
Smith A
Knapp C
Newman M
Jones C
Chen Z
Quintana C
Mi X
Dunsworth A
Gidney C
Aleiner I
Arute F
Arya K
Atalaya J
Babbush R
Bardin JC
Barends R
Basso J
Bengtsson A
Bilmes A
Broughton M
Buckley BB
Buell DA
Burkett B
Bushnell N
Chiaro B
Collins R
Courtney W
Demura S
Derk AR
Eppens D
Erickson C
Faoro L
Farhi E
Fowler AG
Foxen B
Giustina M
Greene A
Gross JA
Harrigan MP
Harrington SD
Hilton J
Hong S
Huang T
Huggins WJ
Ioffe LB
Isakov SV
Jeffrey E
Jiang Z
Kafri D
Kechedzhi K
Khattar T
Kim S
Klimov PV
Korotkov AN
Kostritsa F
Landhuis D
Laptev P
Locharla A
Lucero E
Martin O
McClean JR
McEwen M
Miao KC
Mohseni M
Montazeri S
Mruczkiewicz W
Mutus J
Naaman O
Neeley M
Neill C
Niu MY
O'Brien TE
Opremcak A
Pató B
Petukhov A
Rubin NC
Sank D
Shvarts V
Strain D
Szalay M
Villalonga B
White TC
Yao Z
Yeh P
Yoo J
Zalcman A
Neven H
Boixo S
Megrant A
Chen Y
Kelly J
Smelyanskiy V
Kitaev A
Knap M
Pollmann F
Roushan P
Source :
Science (New York, N.Y.) [Science] 2021 Dec 03; Vol. 374 (6572), pp. 1237-1241. Date of Electronic Publication: 2021 Dec 02.
Publication Year :
2021

Abstract

The discovery of topological order has revised the understanding of quantum matter and provided the theoretical foundation for many quantum error–correcting codes. Realizing topologically ordered states has proven to be challenging in both condensed matter and synthetic quantum systems. We prepared the ground state of the toric code Hamiltonian using an efficient quantum circuit on a superconducting quantum processor. We measured a topological entanglement entropy near the expected value of –ln2 and simulated anyon interferometry to extract the braiding statistics of the emergent excitations. Furthermore, we investigated key aspects of the surface code, including logical state injection and the decay of the nonlocal order parameter. Our results demonstrate the potential for quantum processors to provide insights into topological quantum matter and quantum error correction.

Details

Language :
English
ISSN :
1095-9203
Volume :
374
Issue :
6572
Database :
MEDLINE
Journal :
Science (New York, N.Y.)
Publication Type :
Academic Journal
Accession number :
34855491
Full Text :
https://doi.org/10.1126/science.abi8378