activity
20182020
most citedRandomisation of Pulse Phases for Unambiguous and Robust Quantum Sensing

39 citations · 66 across the 4 of their papers we have counts for

collaborators

6 papers

quant-ph2020

Enhancing the robustness of dynamical decoupling sequences with correlated random phases

Zhen-Yu Wang, Jorge Casanova, Martin B. Plenio

We show that the addition of correlated phases to the recently developed method of randomized dynamical decoupling pulse sequences [Physical Review Letters 122, 200403 (2019)] can…

quant-ph201910 cited

Hybrid Microwave Radiation Patterns for High-Fidelity Quantum Gates with Trapped Ions

I. Arrazola, M. B. Plenio, E. Solano +1

We present a method that combines continuous and pulsed microwave radiation patterns to achieve robust interactions among hyperfine trapped ions placed in a magnetic field gradient…

quant-ph201915 cited

Spin-boson model as a simulator of non-Markovian multiphoton Jaynes-Cummings models

R. Puebla, G. Zicari, I. Arrazola +3

The paradigmatic spin-boson model considers a spin degree of freedom interacting with an environment typically constituted by a continuum of bosonic modes. This ubiquitous model is…

quant-ph201939 cited

Randomisation of Pulse Phases for Unambiguous and Robust Quantum Sensing

Zhen-Yu Wang, Jacob E. Lang, Simon Schmitt +6

We develop theoretically and demonstrate experimentally a universal dynamical decoupling method for robust quantum sensing with unambiguous signal identification. Our method uses r…

quant-ph20192 cited

Selective Hybrid Spin Interactions with Low Radiation Power

I. Arrazola, E. Solano, J. Casanova

We present a protocol for designing appropriately extended pulses that achieves tunable, thus selective, electron-nuclear spin interactions with low-driving radiation power. Ou…

quant-ph2018

Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer

J. Olivares-Sánchez, J. Casanova, E. Solano +1

We present an experimental realization of a measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti cloud quantum computer. The experiment in this fe…