3,273 research outputs found

    Intellectual Property, Antitrust and Strategic Behavior

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    Economic growth depends in large part on technological change. Laws governing intellectual property rights protect inventors from competition in order to create incentives for them to innovate. Antitrust laws constrain how a monopolist can act in order to maintain its monopoly in an attempt to foster competition. There is a fundamental tension between these two different types of laws. Attempts to adapt static antitrust analysis to a setting of dynamic R&D competition through the use of 'innovation markets' are likely to lead to error. Applying standard antitrust doctrines such as tying and exclusivity to R&D settings is likely to be complicated. Only detailed study of the industry of concern has the possibility of uncovering reliable relationships between innovation and industry behavior. One important form of competition, especially in certain network industries, is between open and closed systems. We have presented an example to illustrate how there is a tendency for systems to close even though an open system is socially more desirable. Rather than trying to use the antitrust laws to attack the maintenance of closed systems, an alternative approach would be to use intellectual property laws and regulations to promote open systems and the standard setting organizations that they require. Recognition that optimal policy toward R&D requires coordination between the antitrust and intellectual property laws is needed.

    Climbing Mount Scalable: Physical-Resource Requirements for a Scalable Quantum Computer

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    The primary resource for quantum computation is Hilbert-space dimension. Whereas Hilbert space itself is an abstract construction, the number of dimensions available to a system is a physical quantity that requires physical resources. Avoiding a demand for an exponential amount of these resources places a fundamental constraint on the systems that are suitable for scalable quantum computation. To be scalable, the effective number of degrees of freedom in the computer must grow nearly linearly with the number of qubits in an equivalent qubit-based quantum computer.Comment: LATEX, 24 pages, 1 color .eps figure. This new version has been accepted for publication in Foundations of Physic

    Physical-resource demands for scalable quantum computation

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    The primary resource for quantum computation is Hilbert-space dimension. Whereas Hilbert space itself is an abstract construction, the number of dimensions available to a system is a physical quantity that requires physical resources. Avoiding a demand for an exponential amount of these resources places a fundamental constraint on the systems that are suitable for scalable quantum computation. To be scalable, the number of degrees of freedom in the computer must grow nearly linearly with the number of qubits in an equivalent qubit-based quantum computer.Comment: This paper will be published in the proceedings of the SPIE Conference on Fluctuations and Noise in Photonics and Quantum Optics, Santa Fe, New Mexico, June 1--4, 200

    Wanted : students in agriculture

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    "The College of Agriculture took a realistic look at itself recently and found that it must answer some vital questions for prospective students. The question most often raised is: What does the future hold for me if I study agriculture?"--Page

    Commission Meeting, Carlton H. Hershner

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    Commission Meeting: Report on Climate Change Progress in Virgini

    A Grounded Theory Approach to Identifying and Measuring Forensic Data Acquisition Tasks

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    As a relatively new field of study, little empirical research has been conducted pertaining to computer forensics. This lack of empirical research contributes to problems for practitioners and academics alike. For the community of practitioners, problems arise from the dilemma of applying scientific methods to legal matters based on anecdotal training methods, and the academic community is hampered by a lack of theory in this evolving field. A research study utilizing a multi-method approach to identify and measure tasks practitioners perform during forensic data acquisitions and lay a foundation for academic theory development was conducted in 2006 in conjunction with a doctoral dissertation. An overview of the study’s findings is presented within this article
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