Health Insurance Exchanges: Key Issues for State Implementation

Explores considerations for state governments in planning infrastructure and policies for exchanges for individuals and small businesses, including interactions with state Medicaid and Children's Health Insurance Programs. Lists options and pros and cons

Supporting State Policymakers' Implementation of Federal Health Reform

Outlines the capacities states will need to implement federal healthcare reform in the areas of information and analysis, strategic implementation and planning, topic-specific technical assistance, communications, and coordination and integration

Surface code implementation of block code state distillation

State distillation is the process of taking a number of imperfect copies of a particular quantum state and producing fewer better copies. Until recently, the lowest overhead method of distilling states |A>=(|0>+e^{i\pi/4}|1>)/\sqrt{2} produced a single improved |A> state given 15 input copies. New block code state distillation methods can produce k improved |A> states given 3k+8 input copies, potentially significantly reducing the overhead associated with state distillation. We construct an explicit surface code implementation of block code state distillation and quantitatively compare the overhead of this approach to the old. We find that, using the best available techniques, for parameters of practical interest, block code state distillation does not always lead to lower overhead, and, when it does, the overhead reduction is typically less than a factor of three.Comment: 26 pages, 28 figure

State Implementation of National Health Reform: Harnessing Federal Resources to Meet State Policy Goals

Discusses state options for maximizing coverage and access to care; reforming the health insurance market; holding insurers accountable for high-quality, affordable coverage; restructuring healthcare delivery and financing; and cutting budget deficits

Efficient Implementation and the Product State Representation of Numbers

The relation between the requirement of efficient implementability and the product state representation of numbers is examined. Numbers are defined to be any model of the axioms of number theory or arithmetic. Efficient implementability (EI) means that the basic arithmetic operations are physically implementable and the space-time and thermodynamic resources needed to carry out the implementations are polynomial in the range of numbers considered. Different models of numbers are described to show the independence of both EI and the product state representation from the axioms. The relation between EI and the product state representation is examined. It is seen that the condition of a product state representation does not imply EI. Arguments used to refute the converse implication, EI implies a product state representation, seem reasonable; but they are not conclusive. Thus this implication remains an open question.Comment: Paragraph in page proof for Phys. Rev. A revise

The Strategy of Innovative Development of Economy of Ukraine till 2030

The Strategy of the development of the innovative activity sphere for the period up to 2030 approved by the Government of Ukraine has been analyzed in the article. It was determined that the innovative activity sphere has several disadvantages. The following issues have not been considered: application of tax privileges for the activation of innovative activity of domestic enterprises; implementation of the list of specific innovative projects, which are fully or partially financed from the state budget; direct connection of the state with business and society; mechanism of interaction between universities and domestic enterprises; people responsible for the implementation of the Country Innovation Strategy at the state and local levels have not been assigned; the priority of public procurement of high-tech products from domestic manufacturers has not been established; mechanisms of annual monitoring and control of the stages of strategy implementation have not been defined.The ways of overcoming these issues have been provided in the article. An algorithm of the implementation of the Innovative Development Strategy of Ukraine until 2030 has been developed and suggested, which will make the state policy in the sphere of innovation activity more systematic and advanced. The suggested algorithm of strategy implementation consists of five main stages: preparatory, computational, organizational, practical implementation and result from analysis. At each of these stages, the functions and responsibilities of each participant in the innovation process are defined: the state, research institutions, local governments, and business structures. The deadlines for the implementation of necessary transformations and practical mechanisms for their realization have been determined. The role of state bodies as the main organizational element of the Strategy development is highlighted.The algorithm of the realization of the Strategy of Innovative Development of the Ukrainian Economy suggested by the author will ensure the consistent and gradual implementation of the structural elements of the national innovation system, its effective transformation, and further development, since each step of the Strategy is a logical stage of implementing a comprehensive program to ensure the development of innovative relations in the state’s economy

A Multi-Scan Labeled Random Finite Set Model for Multi-object State Estimation

State space models in which the system state is a finite set--called the multi-object state--have generated considerable interest in recent years. Smoothing for state space models provides better estimation performance than filtering by using the full posterior rather than the filtering density. In multi-object state estimation, the Bayes multi-object filtering recursion admits an analytic solution known as the Generalized Labeled Multi-Bernoulli (GLMB) filter. In this work, we extend the analytic GLMB recursion to propagate the multi-object posterior. We also propose an implementation of this so-called multi-scan GLMB posterior recursion using a similar approach to the GLMB filter implementation