Noisy One-Way Quantum Computations: The Role of Correlations

A scheme to evaluate computation fidelities within the one-way model is developed and explored to understand the role of correlations in the quality of noisy quantum computations. The formalism is promptly applied to many computation instances, and unveils that a higher amount of entanglement in the noisy resource state does not necessarily imply a better computation.Comment: 10 pages, 6 figures, extension of a previous versio

Anisotropic exciton Stark shift in black phosphorus

We calculate the excitonic spectrum of few-layer black phosphorus by direct diagonalization of the effective mass Hamiltonian in the presence of an applied in-plane electric field. The strong attractive interaction between electrons and holes in this system allows one to investigate the Stark effect up to very high ionizing fields, including also the excited states. Our results show that the band anisotropy in black phosphorus becomes evident in the direction dependent field induced polarizability of the exciton

What Don\u27t RNN Language Models Learn About Filler-Gap Dependencies?

In a series of experiments, Wilcox et al. (2019,2019) provide evidence suggesting that general-purpose state-of-the-art LSTM RNN language models have not only learned English filler-gap dependencies, but also some of their associated \u27island\u27 constraints (Ross 1967). In the present paper, I cast doubt on such claims, and argue that upon closer inspection filler-gap dependencies are learned only very imperfectly, including their associated island constraints. I conjecture that the LSTM RNN models in question have more likely learned some surface statistical regularities in the dataset rather than higher-level abstract generalizations about the linguistic mechanisms underlying filler-gap constructions

An Offering on the Altar of Queer History: Amalia Mesa-Bains and Sor Juana’s Library

This paper argues that home altars are archives. I consider the history of altars within Chicana community practices; political, and feminist critique of both patriarchal nationalism; and the role of the altar in challenging the public and private divide defined by nationalist discourses of the US and Aztlan. Furthermore, I use Amalia Mesa-Bains’s altar installation The Library of Sor Juana Inez de la Cruz to consider how altars are spaces of feminist queer memory-making and resistance against colonial logics

Topological confinement in graphene bilayer quantum rings

We demonstrate the existence of localized electron and hole states in a ring-shaped potential kink in biased bilayer graphene. Within the continuum description, we show that for sharp potential steps the Dirac equation describing carrier states close to the K (or K') point of the first Brillouin zone can be solved analytically for a circular kink/anti-kink dot. The solutions exhibit interfacial states which exhibit Aharonov-Bohm oscillations as functions of the height of the potential step and/or the radius of the ring

O feijão na alimentação humana.

O que é um feijão? Por que o feijão é um alimento tão bom para a saúde? Qual é a composição do feijão? Como é classificado o feijão no Brasil? Quais são as principais características de um feijão de qualidade? O que é considerado um feijão com defeito? O que é ?bandinha de feijão?? Há diferença entre o valor nutricional de feijões de dife­rentes cores? Além do feijão comprado cru, quais são as outras formas em que o produto é disponibilizado ao consumidor? Por que não se deve consumir feijão cru? Deve ­se deixar o feijão de molho antes de cozinhá­-lo? Deve-se jogar fora a água em que o feijão ficou de molho antes de cozinhá­-lo? O que é feijão biofortificado? O caldo de feijão tem importância nutricional? Feijão ?velho? perde qualidade? Por que o feijão tipo Carioca escurece?bitstream/item/123450/1/p15.pd

Look at that! BERT can be easily distracted from paying attention to morphosyntax

Syntactic knowledge involves not only the ability to combine words and phrases, but also the capacity to relate different and yet truth-preserving structural variations (e.g. passivization, inversion, topicalization, extraposition, clefting, etc.), as well as the ability to infer that these syntactic variations all adhere to common morphosyntactic rules, like subject-verb agreement. Although there is some evidence that BERT has rich syntactic knowledge, our adversarial approach suggests that it is not deployed in a robust and linguistically appropriate way. English BERT can be tricked to miss even quite simple syntactic generalizations, when compared with GPT-2, underscoring the need for stronger priors and for linguistically controlled experiments in evaluatio