The Political Economy of Financially Successful Independent Hip-Hop Artists

From 2000 to 2010, America’s music industry’s annual revenue went from $4 billion to$2 billion. Much of this is attributed to the internet’s ability to provide consumers with easy access to free music, and hip hop has been especially impacted by this trend. Utilizing document analysis and personal interviews, this study found that the success of independent artists has influenced the business strategies of major record companies. In response to a dramatic decrease in record sales, major labels have made more of an effort to sign their artists to 360 deals, which allow the labels to profit from every aspect of an artist’s brand or identity. While some independent artists are the main beneficiary of the profits generated from their music and personal brand, they also reify the commodity-form capitalist system by attempting to turn their music and brand into a fetishized commodity and by turning their audience into a fetishized commodity

Are Allies Who We Think They Are?: A Comparative Analysis

Although dominant group allies have been increasingly studied by social psychologists interested in positive intergroup relations and the promotion of social justice, most of the existing research focuses on self-identified allies or dominant group individuals who are engaging in social justice activities. Little comparative work has examined white allies who were specifically identified as such by people of color. Two studies assessed qualities associated with affirming attitudes (low prejudice, high internal motivation to respond without prejudice, allophilia, and awareness of privilege) and informed action (activism) expected to be distinctively characteristic of allies. Nominated white allies in Study 1 had lower prejudice and higher levels of internal motivation to respond without prejudice than nonnominated white participants; this was replicated in Study 2, which compared nominated “allies” and “friends.” In Study 2, nominated white allies rated themselves as lower on prejudice than nominated white friends. They also scored higher on internal motivation to respond without prejudice, understanding of white privilege, and activism than nominated white friends. There were no differences on self-reported allophilia between the two groups. Allies were rated by the people of color who nominated them as higher on qualities of outgroup affirmation and informed action than were nominated friends. Limitations of and implications for these findings are discussed

Self-Reflection as Scholarly Praxis: Researcher Identity in Disability Studies--Guest Editors\u27 Introduction

The guest editors of this special issue on researcher identity offer reflections and an overview of the issue

Class and the classroom: The role of individual- and school-level socioeconomic factors in predicting college students’ academic behaviors

This study examines how, for emerging adults attending residential colleges, family incomes and the SES composition of high schools are jointly associated with academic behaviors in college. Using a one-time survey, daily surveys, and additional data collection on high school SES composition, this study measured 221 college students’ (17-25 years old) SES backgrounds and academic behaviors. Findings indicated that three academic behaviors (study time, in-class engagement, and help-seeking) were predicted by an interaction between family income and high school context. Among students who attended high schools that serve many low-income students, higher family income was significantly associated with more beneficial academic behaviors in college; among students who attended high schools that serve few low-income students, there was no association between family income and academic behaviors. Results indicate that colleges may need to be especially prepared to support students from lower-income families who matriculated from lower-SES high schools

Entanglement in superconducting heterostructures, and quantum circuit simulation hardware

We begin this dissertation by studying noise correlations in superconducting heterostructures of various geometries. In recent years there has been a resurgence of interest in the nonlocal transport properties of superconducting heterostructures due to the possibility of their serving as a source of electronic entanglement in solid state quantum information processors. Devices designed for this purpose are called Cooper pair splitting devices. The utility of these devices as entanglement sources is known to have connections to the positivity of noise cross correlations in spatially separated leads. In Chapter 1 we outline the theoretical prerequisites for this work, outlining the scattering theory framework based on the Bogoliubov-de Gennes equations we adopt. Within this framework we apply a methodology first introduced by Demers and by Blonder, Tinkham and Klapwijk (BTK) in the early 1980s to find the scattering matrix for our superconducting structures. The current, local and nonlocal shot noise can all be expressed in terms of the underlying scattering processes. This framework allows us to investigate the behavior of the current and noise correlations in the structure as we change the geometry and other key system parameters such as the system size, superconducting phase difference and temperature. We also introduce the Andreev approximation, a commonly used approximation which simplifies the scattering theory for superconducting heterostructures. In Chapter 2, we study the local and nonlocal shot noise in a quasi-1D normal-superconducting-normal (NSN) geometry using material parameters relevant to high-T [subscript c] superconductivity. The scattering and shot noise distributions are studied in the short, intermediate and long system size limits, allowing us to examine the qualitative differences in these three parameter regimes. This allows us to, for example, identify the signatures of over-the-gap geometric resonances in the shot noise distributions that appear in the long system size limit. We also break the nonlocal shot noise distributions down further and study the individual contributions to the nonlocal shot due to particle-particle, hole-hole and particle-hole scattering processes. In Chapter 3, we extend our investigation of superconducting heterostructures to the more complicated NSNSN geometry. A novel feature introduced in the geometry is the presence of subgap quasibound states, which show up as resonances in the scattering matrix. We show that these quasibound states dramatically impact the nonlocal shot noise distributions in the system. At energies near the quasibound states the dominant transmission channel through the system is a process called particle-hole transmission, which results in sharp positive peaks in the nonlocal shot noise distribution of the system. The behavior of the nonlocal noise correlations as we change the size of the superconducting and normal regions is investigated and it is found that there is a "sweet spot'' with respect to the size of the superconducting regions that maximizes the positivity of the nonlocal noise distributions as well as a periodic-like behavior in the positivity of the noise distributions with respect to the normal region size. The results of the full scattering theory for the NSNSN geometry are compared to the results obtained using the Andreev approximation, where we find that the Andreev approximation breaks down at energies close to the quasibound state energies. In the second half of this dissertation we focus on work related to the development of a prototype special-purpose quantum circuit simulation device based on commercial off-the-shelf high-speed analog signal processing hardware. In Chapter 4 we introduce the embedding scheme used to represent quantum states and quantum gates in the frequency domain of a classical analog voltage signal. Experimental results are presented from an early two-qubit prototype device for the fidelity of the state generation and gate application circuits. In Chapter 5, a more in-depth investigation into the modeling of classical errors within our signal processing based simulation method is performed in terms of the effects this noise has on the results of the quantum computation being simulatied. It is shown, for example, that additive white gaussian noise (AWGN) in our system has the same effect as applying a depolarizing channel to the qubits in the simulation. We then perform a simulation of a simple quantum error correction (QEC) protocol using the device and show that, even in the presence of classical noise in the simulation hardware, an overall enhancement in the performance of gate operations as a result of applying QEC is observed

Parallel Quantum Computing Emulation

Quantum computers provide a fundamentally new computing paradigm that promises to revolutionize our ability to solve broad classes of problems. Surprisingly, the basic mathematical structures of gate-based quantum computing, such as unitary operations on a finite-dimensional Hilbert space, are not unique to quantum systems but may be found in certain classical systems as well. Previously, it has been shown that one can represent an arbitrary multi-qubit quantum state in terms of classical analog signals using nested quadrature amplitude modulated signals. Furthermore, using digitally controlled analog electronics one may manipulate these signals to perform quantum gate operations and thereby execute quantum algorithms. The computational capacity of a single signal is, however, limited by the required bandwidth, which scales exponentially with the number of qubits when represented using frequency-based encoding. To overcome this limitation, we introduce a method to extend this approach to multiple parallel signals. Doing so allows a larger quantum state to be emulated with the same gate time required for processing frequency-encoded signals. In the proposed representation, each doubling of the number of signals corresponds to an additional qubit in the spatial domain. Single quit gate operations are similarly extended so as to operate on qubits represented using either frequency-based or spatial encoding schemes. Furthermore, we describe a method to perform gate operations between pairs of qubits represented using frequency or spatial encoding or between frequency-based and spatially encoded qubits. Finally, we describe how this approach may be extended to represent qubits in the time domain as well.Comment: 9 pages, 4 figures, 2018 IEEE International Conference on Rebooting Computing (ICRC

Near-Minimal Gate Set Tomography Experiment Designs

Gate set tomography (GST) provides precise, self-consistent estimates of the noise channels for all of a quantum processor's logic gates. But GST experiments are large, involving many distinct quantum circuits. This has prevented their use on systems larger than two qubits. Here, we show how to streamline GST experiment designs by removing almost all redundancy, creating smaller and more scalable experiments without losing precision. We do this by analyzing the "germ" subroutines at the heart of GST circuits, identifying exactly what gate set parameters they are sensitive to, and leveraging this information to remove circuits that duplicate other circuits' sensitivities. We apply this technique to two-qubit GST experiments, generating streamlined experiment designs that contain only slightly more circuits than the theoretical minimum bounds, but still achieve Heisenberg-like scaling in precision (as demonstrated via simulation and a theoretical analysis using Fisher information). In practical use, the new experiment designs can match the precision of previous GST experiments with significantly fewer circuits. We discuss the prospects and feasibility of extending GST to three-qubit systems using our techniques.Comment: 11 pages, 6 figures, to be published in proceedings of 2023 IEEE International Conference on Quantum Computing and Engineering (QCE