J
John Ambrosiano
Researcher at Los Alamos National Laboratory
Publications - 11
Citations - 244
John Ambrosiano is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Body of knowledge & Similarity (psychology). The author has an hindex of 4, co-authored 11 publications receiving 192 citations.
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Quantum Algorithm Implementations for Beginners
Patrick J. Coles,Stephan Eidenbenz,Scott Pakin,Adetokunbo Adedoyin,John Ambrosiano,Petr M. Anisimov,William Casper,Gopinath Chennupati,Carleton Coffrin,Hristo N. Djidjev,David Gunter,Satish Karra,Nathan Lemons,Shi-Zeng Lin,Andrey Y. Lokhov,Alexander Malyzhenkov,David Dennis Lee Mascarenas,Susan M. Mniszewski,Balu Nadiga,Daniel O'Malley,Diane Oyen,Lakshman Prasad,Randy Roberts,Philip Romero,Nandakishore Santhi,Nikolai A. Sinitsyn,Pieter J. Swart,Marc Vuffray,James Wendelberger,Boram Yoon,Richard J. Zamora,Wei Zhu +31 more
TL;DR: This review aims to explain the principles of quantum programming, which are quite different from classical programming, with straightforward algebra that makes understanding of the underlying fascinating quantum mechanical principles optional.
Journal ArticleDOI
Dynamics of the nucleated polymerization model of prion replication.
R. Rubenstein,Perry Gray,T. J. Cleland,Martin S. Piltch,W. S. Hlavacek,R. M. Roberts,John Ambrosiano,J.-I. Kim +7 more
TL;DR: These simulations demonstrate the characteristic dynamical behavior of this nucleated polymerization model for prion replication and the implications of these dynamics on protein misfolding cyclic amplification (PMCA) is discussed.
Patent
Knowledge-based matching
TL;DR: In this paper, a knowledge-based system and methods to matchmaking and social network extension are disclosed, which allows users to specify knowledge profiles, which are collections of concepts that indicate a certain topic or area of interest selected from an online knowledge base.
Patent
System and method for knowledge based matching of users in a network
TL;DR: In this article, a knowledge-based system and methods to matchmaking and social network extension are disclosed, which allows users to specify knowledge profiles, which are collections of concepts that indicate a certain topic or area of interest selected from an online knowledge base.
Journal ArticleDOI
Risk-Based Policy Optimization for Critical Infrastructure Resilience against a Pandemic Influenza Outbreak
TL;DR: In this article, an effective way of understanding how uncertainties propagate and how trade-offs among competing objectives is proposed. But, the authors do not consider the impact of the trade-off on the reliability of the infrastructure.