Literature DB >> 34497396

High-fidelity laser-free universal control of trapped ion qubits.

R Srinivas1,2,3, S C Burd4,5,6, H M Knaack4,5, R T Sutherland7,8,9, A Kwiatkowski4,5, S Glancy4, E Knill4,10, D J Wineland4,5,11, D Leibfried4, A C Wilson4, D T C Allcock4,5,11, D H Slichter12.   

Abstract

Universal control of multiple qubits-the ability to entangle qubits and to perform arbitrary individual qubit operations1-is a fundamental resource for quantum computing2, simulation3 and networking4. Qubits realized in trapped atomic ions have shown the highest-fidelity two-qubit entangling operations5-7 and single-qubit rotations8 so far. Universal control of trapped ion qubits has been separately demonstrated using tightly focused laser beams9-12 or by moving ions with respect to laser beams13-15, but at lower fidelities. Laser-free entangling methods16-20 may offer improved scalability by harnessing microwave technology developed for wireless communications, but so far their performance has lagged the best reported laser-based approaches. Here we demonstrate high-fidelity laser-free universal control of two trapped-ion qubits by creating both symmetric and antisymmetric maximally entangled states with fidelities of [Formula: see text] and [Formula: see text], respectively (68 per cent confidence level), corrected for initialization error. We use a scheme based on radiofrequency magnetic field gradients combined with microwave magnetic fields that is robust against multiple sources of decoherence and usable with essentially any trapped ion species. The scheme has the potential to perform simultaneous entangling operations on multiple pairs of ions in a large-scale trapped-ion quantum processor without increasing control signal power or complexity. Combining this technology with low-power laser light delivered via trap-integrated photonics21,22 and trap-integrated photon detectors for qubit readout23,24 provides an opportunity for scalable, high-fidelity, fully chip-integrated trapped-ion quantum computing.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

Entities:  

Year:  2021        PMID: 34497396     DOI: 10.1038/s41586-021-03809-4

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   69.504


  31 in total

1.  Realization of the Cirac-Zoller controlled-NOT quantum gate.

Authors:  Ferdinand Schmidt-Kaler; Hartmut Häffner; Mark Riebe; Stephan Gulde; Gavin P T Lancaster; Thomas Deuschle; Christoph Becher; Christian F Roos; Jürgen Eschner; Rainer Blatt
Journal:  Nature       Date:  2003-03-27       Impact factor: 49.962

2.  Deterministic quantum teleportation of atomic qubits.

Authors:  M D Barrett; J Chiaverini; T Schaetz; J Britton; W M Itano; J D Jost; E Knill; C Langer; D Leibfried; R Ozeri; D J Wineland
Journal:  Nature       Date:  2004-06-17       Impact factor: 49.962

3.  The quantum internet.

Authors:  H J Kimble
Journal:  Nature       Date:  2008-06-19       Impact factor: 49.962

4.  Elementary gates for quantum computation.

Authors: 
Journal:  Phys Rev A       Date:  1995-11       Impact factor: 3.140

5.  High-Fidelity Preparation, Gates, Memory, and Readout of a Trapped-Ion Quantum Bit.

Authors:  T P Harty; D T C Allcock; C J Ballance; L Guidoni; H A Janacek; N M Linke; D N Stacey; D M Lucas
Journal:  Phys Rev Lett       Date:  2014-11-24       Impact factor: 9.161

6.  Demonstration of a small programmable quantum computer with atomic qubits.

Authors:  S Debnath; N M Linke; C Figgatt; K A Landsman; K Wright; C Monroe
Journal:  Nature       Date:  2016-08-04       Impact factor: 49.962

7.  High-Fidelity Universal Gate Set for ^{9}Be^{+} Ion Qubits.

Authors:  J P Gaebler; T R Tan; Y Lin; Y Wan; R Bowler; A C Keith; S Glancy; K Coakley; E Knill; D Leibfried; D J Wineland
Journal:  Phys Rev Lett       Date:  2016-08-04       Impact factor: 9.161

8.  High-Fidelity Quantum Logic Gates Using Trapped-Ion Hyperfine Qubits.

Authors:  C J Ballance; T P Harty; N M Linke; M A Sepiol; D M Lucas
Journal:  Phys Rev Lett       Date:  2016-08-04       Impact factor: 9.161

9.  Benchmarking an 11-qubit quantum computer.

Authors:  K Wright; K M Beck; S Debnath; J M Amini; Y Nam; N Grzesiak; J-S Chen; N C Pisenti; M Chmielewski; C Collins; K M Hudek; J Mizrahi; J D Wong-Campos; S Allen; J Apisdorf; P Solomon; M Williams; A M Ducore; A Blinov; S M Kreikemeier; V Chaplin; M Keesan; C Monroe; J Kim
Journal:  Nat Commun       Date:  2019-11-29       Impact factor: 14.919

10.  Characterizing large-scale quantum computers via cycle benchmarking.

Authors:  Alexander Erhard; Joel J Wallman; Lukas Postler; Michael Meth; Roman Stricker; Esteban A Martinez; Philipp Schindler; Thomas Monz; Joseph Emerson; Rainer Blatt
Journal:  Nat Commun       Date:  2019-11-25       Impact factor: 14.919

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  1 in total

1.  QDataSet, quantum datasets for machine learning.

Authors:  Elija Perrier; Akram Youssry; Chris Ferrie
Journal:  Sci Data       Date:  2022-09-23       Impact factor: 8.501

  1 in total

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