Parallel Transport Quantum Logic Gates with Trapped Ions

Clercq, Ludwig E. de; Lo, Hsiang-Yu; Marinelli, Matteo; Nadlinger, D. P.; Oswald, R.; Negnevitsky, Vlad; Kienzler, Daniel; Keitch, Ben; Home, Jonathan

doi:10.1103/physrevlett.116.080502

Cited by 39 publications

(43 citation statements)

References 23 publications

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“…x rf have already been demonstrated using 40 Ca + [68,69]. This ratio, together with the rest of the parameters used in figure 6(b), would already yield a benefit from the micromotion-enabled entangling gates.…”

Section: Experimental Considerationsmentioning

confidence: 97%

Micromotion-enabled improvement of quantum logic gates with trapped ions

et al. 2017

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The micromotion of ion crystals confined in Paul traps is usually considered an inconvenient nuisance, and is thus typically minimized in high-precision experiments such as high-fidelity quantum gates for quantum information processing (QIP). In this work, we introduce a particular scheme where this behavior can be reversed, making micromotion beneficial for QIP. We show that using laser-driven micromotion sidebands, it is possible to engineer state-dependent dipole forces with a reduced effect of off-resonant couplings to the carrier transition. This allows one, in a certain parameter regime, to devise entangling gate schemes based on geometric phase gates with both a higher speed and a lower error, which is attractive in light of current efforts towards fault-tolerant QIP. We discuss the prospects of reaching the parameters required to observe this micromotionenabled improvement in experiments with current and future trap designs.

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Section: Experimental Considerationsmentioning

confidence: 97%

Micromotion-enabled improvement of quantum logic gates with trapped ions

et al. 2017

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“…This approach would require controlling the kinetic energies of the ions on the µeV level during shuttling to reach a performance comparable with the present approach. Such an exquisite degree of control has recently been achieved using advanced ion trap designs and trap electronics optimised for precise ion shuttling [34].…”

Section: Discussionmentioning

confidence: 99%

A Dynamic Ion–Atom Hybrid Trap for High‐Resolution Cold‐Collision Studies

et al. 2016

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We present a dynamic ion-atom hybrid trap for studies of cold ion-neutral collisions and reactions with a significantly improved energy resolution compared to previous experiments. Our approach is based on pushing a cloud of laser-cooled Rb atoms through a stationary Coulomb crystal of cold ions using precisely controlled, tunable radiation-pressure forces. We demonstrate the tuning of the atom kinetic energies over an interval ranging from 30 mK up to 350 mK with energy spreads as low as 24 mK inferred from the comparison of experimental time-of-flight measurements with Monte Carlo trajectory simulations. We also demonstrate first applications of our method to the investigation of chemical reactions. Our development opens up perspectives for accurate studies of the energy dependence of the reaction rates, the dynamics and the reaction-product ratios of ion-neutral processes in the cold regime. It also paves the way for the realisation of fully energy-and state-controlled cold-collision experiments.

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“…Among others, we aim to have an interface to J. Home's ion trap devices [18] in the near future. More hardware back-ends will follow soon.…”

Section: Back-endsmentioning

confidence: 99%

ProjectQ: an open source software framework for quantum computing

Steiger

Häner

Troyer

2018

Quantum

334

245

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We introduce ProjectQ, an open source software effort for quantum computing. The first release features a compiler framework capable of targeting various types of hardware, a high-performance simulator with emulation capabilities, and compiler plug-ins for circuit drawing and resource estimation.We introduce our Python-embedded domainspecific language, present the features, and provide example implementations for quantum algorithms.The framework allows testing of quantum algorithms through simulation and enables running them on actual quantum hardware using a back-end connecting to the IBM Quantum Experience cloud service. Through extension mechanisms, users can provide back-ends to further quantum hardware, and scientists working on quantum compilation can provide plug-ins for additional compilation, optimization, gate synthesis, and layout strategies.

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Parallel Transport Quantum Logic Gates with Trapped Ions

Cited by 39 publications

References 23 publications

Micromotion-enabled improvement of quantum logic gates with trapped ions

Micromotion-enabled improvement of quantum logic gates with trapped ions

A Dynamic Ion–Atom Hybrid Trap for High‐Resolution Cold‐Collision Studies

ProjectQ: an open source software framework for quantum computing

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