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19972025
most citedRandomized Benchmarking of Quantum Gates

1.1k citations · 2.6k across the 23 of their papers we have counts for

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Showing 2018Show all

9 papers · 1 filter

quant-ph2018

Quantum amplification of mechanical oscillator motion

S. C. Burd, R. Srinivas, J. J. Bollinger +5

Detection of the weakest forces in nature and the search for new physics are aided by increasingly sensitive measurements of the motion of mechanical oscillators. However, the atta…

quant-ph2018

Trapped-ion spin-motion coupling with microwaves and a near-motional oscillating magnetic field gradient

R. Srinivas, S. C. Burd, R. T. Sutherland +5

We present a new method of spin-motion coupling for trapped ions using microwaves and a magnetic field gradient oscillating close to the ions' motional frequency. We demonstrate an…

physics.atom-ph2018

Coherently displaced oscillator quantum states of a single trapped atom

Katherine C. McCormick, Jonas Keller, David J. Wineland +2

Coherently displaced harmonic oscillator number states of a harmonically bound ion can be coupled to two internal states of the ion by a laser-induced motional sideband interaction…

quant-ph2018

Versatile laser-free trapped-ion entangling gates

R. T. Sutherland, R. Srinivas, S. C. Burd +6

We present a general theory for laser-free entangling gates with trapped-ion hyperfine qubits, using either static or oscillating magnetic-field gradients combined with a pair of u…

physics.atom-ph2018

Can a periodically driven particle resist laser cooling and noise?

A. Maitra, D. Leibfried, D. Ullmo +1

Studying a single atomic ion confined in a time-dependent periodic anharmonic potential, we find large amplitude trajectories stable for millions of oscillation periods in the pres…

cs.CV2018

Improving Super-Resolution Methods via Incremental Residual Learning

Muneeb Aadil, Rafia Rahim, Sibt ul Hussain

Recently, Convolutional Neural Networks (CNNs) have shown promising performance in super-resolution (SR). However, these methods operate primarily on Low Resolution (LR) inputs for…