scholarly journals Towards Generation of Cat States in Trapped Ions Set-Ups via FAQUAD Protocols and Dynamical Decoupling

Entropy ◽  
2019 ◽  
Vol 21 (12) ◽  
pp. 1207
Author(s):  
Mikel Palmero ◽  
Miguel Ángel Simón ◽  
Dario Poletti
Keyword(s):  
State Of The Art ◽  
Trapped Ions ◽  
Entangled States ◽  
High Fidelity ◽  
Superposition State ◽  
Final Time ◽  
Dynamical Decoupling ◽  
Dissipative Effects ◽  
Cat States ◽  
Many Particles

The high fidelity generation of strongly entangled states of many particles, such as cat states, is a particularly demanding challenge. One approach is to drive the system, within a certain final time, as adiabatically as possible, in order to avoid the generation of unwanted excitations. However, excitations can also be generated by the presence of dissipative effects such as dephasing. Here we compare the effectiveness of Local Adiabatic and the FAst QUasi ADiabatic protocols in achieving a high fidelity for a target superposition state both with and without dephasing. In particular, we consider trapped ions set-ups in which each spin interacts with all the others with the uniform coupling strength or with a power-law coupling. In order to mitigate the effects of dephasing, we complement the adiabatic protocols with dynamical decoupling and we test its effectiveness. The protocols we study could be readily implemented with state-of-the-art techniques.

scholarly journals Phase-Adaptive Dynamical Decoupling Methods for Robust Spin-Spin Dynamics in Trapped Ions

2021 ◽  
Vol 15 (3) ◽  
Author(s):  
Lijuan Dong ◽  
Iñigo Arrazola ◽  
Xi Chen ◽  
Jorge Casanova
Keyword(s):  
Spin Dynamics ◽  
Trapped Ions ◽  
Dynamical Decoupling

scholarly journals Subspace benchmarking high-fidelity entangling operations with trapped ions

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
C. H. Baldwin ◽  
B. J. Bjork ◽  
J. P. Gaebler ◽  
D. Hayes ◽  
D. Stack
Keyword(s):  
Trapped Ions ◽  
High Fidelity

scholarly journals High-Fidelity Simulated Players for Interactive Narrative Planning

2018 ◽  
Author(s):  
Pengcheng Wang ◽  
Jonathan Rowe ◽  
Wookhee Min ◽  
Bradford Mott ◽  
James Lester
Keyword(s):  
State Of The Art ◽  
Data Driven ◽  
High Fidelity ◽  
Interactive Narrative ◽  
Interaction Data ◽  
Convolutional Networks ◽  
Novel Approach ◽  
Adaptation Policies ◽  
Narrative Planning ◽  
Prior State

Interactive narrative planning offers significant potential for creating adaptive gameplay experiences. While data-driven techniques have been devised that utilize player interaction data to induce policies for interactive narrative planners, they require enormously large gameplay datasets. A promising approach to addressing this challenge is creating simulated players whose behaviors closely approximate those of human players. In this paper, we propose a novel approach to generating high-fidelity simulated players based on deep recurrent highway networks and deep convolutional networks. Empirical results demonstrate that the proposed models significantly outperform the prior state-of-the-art in generating high-fidelity simulated player models that accurately imitate human players’ narrative interactions. Using the high-fidelity simulated player models, we show the advantage of more exploratory reinforcement learning methods for deriving generalizable narrative adaptation policies.

scholarly journals Geomorphometry: Today and Tomorrow

2018 ◽  
Author(s):  
John P Wilson
Keyword(s):  
Content Knowledge ◽  
State Of The Art ◽  
High Fidelity ◽  
Terrain Modeling ◽  
Actionable Knowledge ◽  
Digital Terrain ◽  
Current State ◽  
Digital Terrain Modeling ◽  
Key Innovations

This paper summarizes the current state-of-the-art in geomorphometry and describes the innovations that are close at hand and will be required to push digital terrain modeling forward in the future. These innovations will draw on concepts and methods from computer science and the spatial sciences and require greater collaboration to produce “actionable” knowledge and outcomes. The key innovations include rediscovering and using what we already know, developing new digital terrain modeling methods, clarifying and strengthening the role of theory, developing high-fidelity DEMs, developing and embracing new visualization methods, adopting new computational approaches, and making better use of provenance, credibility, and application-content knowledge.

scholarly journals Double electron–electron resonance with multiple non-selective chirp refocusing

2017 ◽  
Vol 19 (2) ◽  
pp. 1039-1053 ◽  
Author(s):  
Andrin Doll ◽  
Gunnar Jeschke
Keyword(s):  
High Fidelity ◽  
Dynamical Decoupling ◽  
Electron Resonance ◽  
Double Electron ◽  
Double Electron Electron Resonance

The high fidelity of non-selective chirp refocusing pulses allows for dynamical decoupling using a CP refocusing train of N = 4 pulses at very low artifact levels.

Controlling interdependent meso-nanosecond dynamics and defect generation in metal 3D printing

Science ◽  
2020 ◽  
Vol 368 (6491) ◽  
pp. 660-665 ◽  
Author(s):  
Saad A. Khairallah ◽  
Aiden A. Martin ◽  
Jonathan R. I. Lee ◽  
Gabe Guss ◽  
Nicholas P. Calta ◽  
...  
Keyword(s):  
Defect Formation ◽  
State Of The Art ◽  
Operational Reliability ◽  
Formation Mechanisms ◽  
High Fidelity ◽  
Melt Pool ◽  
3D Printers ◽  
Metal 3D Printing ◽  
Nanosecond Dynamics ◽  
Control Complex

State-of-the-art metal 3D printers promise to revolutionize manufacturing, yet they have not reached optimal operational reliability. The challenge is to control complex laser–powder–melt pool interdependency (dependent upon each other) dynamics. We used high-fidelity simulations, coupled with synchrotron experiments, to capture fast multitransient dynamics at the meso-nanosecond scale and discovered new spatter-induced defect formation mechanisms that depend on the scan strategy and a competition between laser shadowing and expulsion. We derived criteria to stabilize the melt pool dynamics and minimize defects. This will help improve build reliability.

Real Time Simulation for High Fidelity Multibody Dynamics and Mechatronic Systems

2014 ◽  
Author(s):  
William Prescott
Keyword(s):  
Real Time ◽  
Multibody Dynamics ◽  
Large Scale ◽  
State Of The Art ◽  
High Fidelity ◽  
Implicit Integration ◽  
Mechatronic Systems ◽  
Vehicle Simulation ◽  
Current State ◽  
Time Simulation

This paper will investigate the use of large scale multibody dynamics (MBD) models for real-time vehicle simulation. Current state of the art in the real-time solution of vehicle uses 15 degree of freedom models, but there is a need for higher-fidelity systems. To increase the fidelity of models uses this paper will propose the use of the following techniques: implicit integration, parallel processing and co-simulation in a real-time environment.

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