1,390 research outputs found

    One Million Police Hours: Making 440,000 Marijuana Possession Arrests in New York City

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    A new report released today documents the astonishing number of hours the New York Police Department has spent arresting and processing hundreds of thousands of people for low-level misdemeanor marijuana possession arrests during Mayor Bloomberg's tenure. The report finds that NYPD used approximately 1,000,000 hours of police officer time to make 440,000 marijuana possession arrests over 11 years. These are hours that police officers might have otherwise have spent investigating and solving serious crimes.The report was prepared by Dr. Harry Levine, Professor of Sociology at Queens College and recognized expert on marijuana possession arrests, at the request of members of the New York City Council and the New York State Legislature.Additionally, the report estimates that the people arrested by NYPD for marijuana possession have spent 5,000,000 hours in police custody over the last decade. The report includes a compendium of quotes from academics, journalists, law enforcement professionals and elected officials attesting to the wastefulness, consequences and racial disparities inherent in these arrests

    Review of "The Globalisation Of Addiction: A Study In Poverty Of The Spirit" by Bruce K. Alexander

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    Book review of "The Globalisation Of Addiction: A Study In Poverty Of The Spirit" by Bruce K. Alexande

    The Pacific War: Japan versus the Allies

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    Detection of bacterial spores with lanthanide-macrocycle binary complexes

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    The detection of bacterial spores via dipicolinate-triggered lanthanide luminescence has been improved in terms of detection limit, stability, and susceptibility to interferents by use of lanthanide−macrocycle binary complexes. Specifically, we compared the effectiveness of Sm, Eu, Tb, and Dy complexes with the macrocycle 1,4,7,10-tetraazacyclododecane-1,7-diacetate (DO2A) to the corresponding lanthanide aquo ions. The Ln(DO2A)^+ binary complexes bind dipicolinic acid (DPA), a major constituent of bacterial spores, with greater affinity and demonstrate significant improvement in bacterial spore detection. Of the four luminescent lanthanides studied, the terbium complex exhibits the greatest dipicolinate binding affinity (100-fold greater than Tb^(3+) alone, and 10-fold greater than other Ln(DO2A)^+ complexes) and highest quantum yield. Moreover, the inclusion of DO2A extends the pH range over which Tb−DPA coordination is stable, reduces the interference of calcium ions nearly 5-fold, and mitigates phosphate interference 1000-fold compared to free terbium alone. In addition, detection of Bacillus atrophaeus bacterial spores was improved by the use of Tb(DO2A)^+, yielding a 3-fold increase in the signal-to-noise ratio over Tb^(3+). Out of the eight cases investigated, the Tb(DO2A)^+ binary complex is best for the detection of bacterial spores

    Cold Matter Assembled Atom-by-Atom

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    The realization of large-scale fully controllable quantum systems is an exciting frontier in modern physical science. We use atom-by-atom assembly to implement a novel platform for the deterministic preparation of regular arrays of individually controlled cold atoms. In our approach, a measurement and feedback procedure eliminates the entropy associated with probabilistic trap occupation and results in defect-free arrays of over 50 atoms in less than 400 ms. The technique is based on fast, real-time control of 100 optical tweezers, which we use to arrange atoms in desired geometric patterns and to maintain these configurations by replacing lost atoms with surplus atoms from a reservoir. This bottom-up approach enables controlled engineering of scalable many-body systems for quantum information processing, quantum simulations, and precision measurements.Comment: 12 pages, 9 figures, 3 movies as ancillary file

    Probing many-body dynamics on a 51-atom quantum simulator

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    Controllable, coherent many-body systems can provide insights into the fundamental properties of quantum matter, enable the realization of new quantum phases and could ultimately lead to computational systems that outperform existing computers based on classical approaches. Here we demonstrate a method for creating controlled many-body quantum matter that combines deterministically prepared, reconfigurable arrays of individually trapped cold atoms with strong, coherent interactions enabled by excitation to Rydberg states. We realize a programmable Ising-type quantum spin model with tunable interactions and system sizes of up to 51 qubits. Within this model, we observe phase transitions into spatially ordered states that break various discrete symmetries, verify the high-fidelity preparation of these states and investigate the dynamics across the phase transition in large arrays of atoms. In particular, we observe robust manybody dynamics corresponding to persistent oscillations of the order after a rapid quantum quench that results from a sudden transition across the phase boundary. Our method provides a way of exploring many-body phenomena on a programmable quantum simulator and could enable realizations of new quantum algorithms.Comment: 17 pages, 13 figure

    Activity-Based Cost Management Part I: Applied to Occupational and Environmental Health Organizations

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/91960/1/Brandt1.pd

    Integrating Neural Networks with a Quantum Simulator for State Reconstruction

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    We demonstrate quantum many-body state reconstruction from experimental data generated by a programmable quantum simulator, by means of a neural network model incorporating known experimental errors. Specifically, we extract restricted Boltzmann machine (RBM) wavefunctions from data produced by a Rydberg quantum simulator with eight and nine atoms in a single measurement basis, and apply a novel regularization technique to mitigate the effects of measurement errors in the training data. Reconstructions of modest complexity are able to capture one- and two-body observables not accessible to experimentalists, as well as more sophisticated observables such as the R\'enyi mutual information. Our results open the door to integration of machine learning architectures with intermediate-scale quantum hardware.Comment: 15 pages, 13 figure
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