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The following is a list of major desktop publishing software. A wide range of related software tools exist in this field, including many plug-ins and tools related to. Download Blurb BookWright: free self-publishing software anyone can use. Design and publish beautiful photo books, trade books, magazines, ebooks. List of desktop publishing software. The following is a list of major desktop publishing software. A wide range of related software tools exist in this field, including many plug- ins and tools related to the applications listed below. Several software directories provide more comprehensive listings of desktop publishing software, including Version. Tracker and Tucows. This step-by-step article describes how to publish programs that are not installed with Microsoft Installer (MSI).Non-MSI program can be published only to users, and. Looking for the best desktop publishing software? We have easy-to-read, expert unbiased reviews and feature comparisons of the best and cheapest programs. 4 Alternatives to Microsoft Publisher. Microsoft Publisher is often peoples’ go-to program when they want to create brochures and other printed presentations. Microsoft may be best known for its operating systems. But in the desktop publishing, Web design, and home creativity arena, Microsoft produces several lines such as. Get started with Publisher and use our simple tools to help you create professional, personalized newsletters, brochures, post cards, and more. Create and publish printed books, brochures, digital magazines, iPad apps, and interactive online documents with Adobe InDesign CC. Start your free trial today. The Best Free Desktop Publishing Software app downloads for Windows: Adobe Acrobat 5.0.5 Update Avro Keyboard Desktop T Shirt Creator Wondershare DVD. Our Workforce Planning template will allow you to have all of yoru workforce metrics in one area. You can track your workforce planning inititatives by geographic distribution, business units, and job levels.Common-sizing by Headcount AKA Headcount Analysis Headcount, of course, refers to the number of people who are on the payroll at any given time. Escaping Excel Hell: Budgets & Forecasting Page 3 from Excel Hell and describe features sets in Alight Planning, a financial planning and analysis software package, that address spe-cific spreadsheet problems. Issues with Modeling. Workforce Action Plan Template Instructions Workforce Action Planning Template Potential Responses Potential Solutions Selected Solutions Workforce Planning Options Worksheet Source Position Align. Employee Headcount Justification Template.pdf Free Download Here Budget Justification SAMPLE template. Personnel.xls Created by Janice McPherson Justification for new staff - Marana http://www.marana.com/DocumentView.asp. Initial Capacity Assessm. Sheet Sname target target1. Capacity Planning Data input The Initial Capacity Assessment Sheet has been divided into a number of easy to identify. Initial Capacity Assessment - Template Company. Best Practices for Headcount Reporting . Atwater, Ph. D and Brad Jorgensen, Dprof. Volume 1. 1 Issue 4. Headcount reporting is supposed to be a simple counting process with a tangible outcome. However, counting the “number of people a business employs on a global basis” is not as straightforward as it should be. In one recent case, a corporate human resources (HR) report showed that the company’s global workforce was comprised of 4,1. While all were arithmetically correct and tabulated for the same day, each report adopted a different construct. The HR report counted full- time employees, temporary workers who replaced full- time workers on leave, and part- time employees. The business units reported only full- time workers, and the finance report was based on full- time workers, part- time workers, temporary workers, and contractors. Above and beyond these tabulations, the budgeting headcount was 4,0. An objective observer could say these counts are technically all correct. A frustrated executive would say there should be one, and only one, answer. This article explores why headcount reporting problems exist and will likely worsen, especially for multinational companies, unless improved workforce planning frameworks are implemented. Photo: Viorika Prikhodko. Differences in headcounts can be frustrating to executives and managers because they slow down or provide false information about business results, contribute to debates about who has the right numbers, and add hours of work in the form of manual tracking and exception reporting. Perhaps the good news, as noted by the Gartner Group, is that “HR management systems are expanding to include talent and workforce management, and multi- process human resource outsourcing services, as well as new geographic locations (increasing the number of countries/markets with local regulatory support).”. Finance groups typically report and track headcount by cost centers, while HR headcounts are usually summed up based on job role boundaries and managerial or supervisor hierarchies. When cost centers are mapped into a managerial hierarchy, the top corporate or division cost center is usually the only one accounted for. Changes that occur in lower level cost centers do not normally appear on the HR’s headcount reporting radar and are therefore not included in the count. However, even when these types of cross- functional challenges are resolved, headcount reporting problems still exist. The real culprits are the stickiness of HR change processes and an inability to reliably establish who is a worker. The Stickiness of HR Change Processes. At the lowest or building block level, cost centers can be readily added, deleted, combined, separated, and realigned on a monthly basis. Managerial or supervisor hierarchies are, on the other hand, stickier or slower to change. Changing the personnel side of the business extends well beyond cost center code changes. Managerial approval processes, workforce management systems, administrative applications, and workflows need to be updated along with roles, job descriptions, compensation formulas, incentives, benefits, stock option plans, and bonus reviews. Changes must also be documented and verified so that they do not adversely affect workers on the basis of age, race, and sex. In some cases, unions and work councils must also be notified. These constraints mean that HR change processes will always lag financial and business change processes. Given the stickiness of HR change processes, workforce planning efforts need to account for and build in transition periods for HR to catch up and realign with changes in financial and strategic business plans. Defining Who is a Worker. An accepted definition of workforce planning is “the systematic identification and analysis of what an organization is going to need in terms of the size, type, and quality of workforce to achieve its objectives.”. According to this model, determining who is a worker is integral. However, in today’s global business environment, the task of determining the worker types needed by an organization can be especially difficult. For example, organizations facing skill shortages or increases in labor costs can now readily access cost- effective alternatives locally or internationally, thus changing the composition of the workforce with very short notice or no notice at all. These types of adjustments often outpace the sticky HR change processes. The real sources of headcount reporting problems, then, are a failure to properly account for the stickiness of HR change processes versus business and finance change processes and the lack of a sustainable definition of who is to be counted as a worker. These problems point to a need for organizations to: Adopt a broad and adaptable definition “worker,”Create planning scenarios that provide for tradeoffs between workers employed across geographic areas,Analyze planning scenarios that incorporate changes in the types of workers employed,Build a planning method that can support financial planning scenarios, and. Sustain a planning method that remains consistent with annual headcount numbers. Companies must also decide if worker types should include geographic identifiers. Smart headcount reporting rules may be needed to align downstream operational headcounts by type with workforce planning headcounts. The challenges are substantial, but clearly, they begin with workforce planning. Photo: Jim Jurica. Workforce Planning Challenges and Opportunities. To meet the challenges of workforce planning, businesses must be able to anticipate emerging business changes and get ahead of the curve so that the necessary timing adjustments for stickiness and accommodations for potential new worker types can be made. Changes must also be analyzed and tracked on multiple levels. Product life- cycles are shortening, and customers are demanding greater choice and personalized delivery. Meanwhile, employees are demanding more choice at work. Strategies to expand physical and material resources, emphasized in the bygone industrial era, are being challenged by strategies to reduce such resources in today’s service- based era. Developed countries with productivity measures of $1. However, when the problem of declining labor supply is considered from a global perspective, a different picture emerges. Figure 1: Labor Force Growth Projections. This growth represents a new resource for organizations. As such, workforce planners must consider new sources of international demand and competition for skilled labor in order to identify the best choices. These new demands require additional planning resources, new planning and analysis skills, and increased flexibility in terms of HR change processes. Figure 2: World Population Projections: 1. Global firms that relocated production centers to access low- cost resources and capture new sources of innovation and new markets are now competing for talent in an environment where internal market demands for talent are rising dramatically. Similar shifts are also actively underway in China. According to the People’s Daily, in 2. China had 8. 8 vacancies for every experienced, skilled blue- collar worker and 1. Difficulties filling senior management positions are also being reported. In China, pay and benefits are on the rise, with average annual salary increases for mid- level and senior managers at 6 to 1. With limited resources and an overabundance of possible business strategies to examine, workforce planners will need to carefully pick and choose which trends to follow and which must be reinterpreted to fit constantly evolving business models. A “Smaller is Better” Business Model. One of the most fundamental and important relationships is that between size (growth) and performance. This raises the question: Is bigger better? If the answer is yes, headcount reporting will focus on existing worker groups and on ways to accommodate and reduce stickiness. If the answer is no, workforce planners will need to consider new types of alternative workers, including contractors, third- party providers, alliance partners and temporary, off- shore, and outsourced worker types. Employee counts may be fewer, but overall headcounts could rise, especially if alternative workers are cheaper and less productive than current employees. As increased demands for alternative workers by governments and local companies drive up wages, the cost advantages of alternatives will be reduced and business strategies could revert to past trends. Volatility across alternative worker groups will require workforce planners to expand and pull back preferred strategies with equal ease. In today’s dynamic global labor market, workforce planners must be equally prepared to expand the footprints of alternative worker groups and to reduce them and, in doing so, set the standard for headcount reporting. In general, however, workforce planners should expect the number of alternative worker groups to increase as national labor market demands and societal make- up change. Risk factors are emerging, as they did in financial planning, to define the likelihood that an alternative worker group will be of interest downstream. Typical risk drivers include cost differentials, availability based on internal and external labor market demand, contracting timelines, connectivity differences, and worker productivity or skill differences. Implications for Headcount Reporting. The challenges that lie ahead for workforce planners have specific implications for headcount reporting. They include: Creating a methodology to assess emerging business strategies, especially those based on a “smaller is better” business model; Maintaining consistency with financial views, such as position planning; Tracking and reporting the impacts of change on different worker groups; Providing workers with choices and information so they can make more informed decisions; and. Incorporating reasonable timeframes to roll out new business initiatives. Download The Spiderwick Chronicles for FREE! EbookNetworking.net : Allows you online search for PDF Books - ebooks for Free downloads In one place.Current search Spiderwick Chronicles. Free PDF Download Books by Holly Black. It all started with a mysterious letter left at a tiny bookstore for authors Tony DiTerlizzi and Holly Black. PDF Dealing with Dragons: The Enchanted Forest Chronicles Book One Free Books by Jasmine Moss. 00:07 Download Dealing with Dragons: The Enchanted. PDF Lucinda's Secret (Spiderwick Chronicles Book 3. 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Quantum Computing (Stanford Encyclopedia of Philosophy). The mathematical model for a “universal” computer was defined long. Turing machine. (Turing 1. A Turing machine consists of an unbounded tape, a head. This table, given the head’s initial. In 1. 93. 6 Turing showed that since one can encode the instruction. Turing machine \(T\) and express it as a binary number. T)\), there exists a universal Turing machine \(U\) that. Turing machine on any given. U\) to execute the original. Tum computation yielding algorithms. Keywords Quantum Computation, Quantum Algorithms, Quantum Computers. Quantum Computation: a Tutorial 5 Note that if we are physically restricted to measurements against.
T\) on the original input will be polynomially bounded. T)\)). That the Turing machine model (what we nowadays. An Introduction to Quantum Algorithms 1. What are quantum algorithms? 1 What are quantum algorithms? 1.1 Background The idea of a quantum computer was rst proposed in 1981 by Nobel laureate Richard Feynman, who pointed out. Algorithms and Architectures for Quantum Computers 42-2 RLE Progress Report 151 1. Research and Development of Integrated Ion Trap Quantum Computer Systems Sponsors Japan Science and Technology Agency Project. Church- Turing thesis. Turing machine. Admittedly, no counterexample to this. Turing, Post. Kleene and Church) has yet been found. But since it identifies the. Turing machine, this thesis involves both a. Simple cardinality considerations. Turing- computable (the set. Turing machines is countable, while the set of all functions. Davis. cost of computing a function is also of great importance, and. Computer scientists classify computational problems according to. Tractable problems are those which can be solved. If we. further relax the requirement that a solution to a computational. Probabilistic algorithms are non- deterministic. Turing machines whose transition function can randomly change the. The most famous. example of an algorithm of this kind is the probabilistic algorithm. Rabin 1. 97. 6). The class NP. Non- deterministic Polynomial) is the class that contains all. Turing machine) can be verified by a. Turing machine at polynomial cost. The most famous. problems in NP are called. NP- complete”. The term “complete” designates the. Either they are all. If we knew how to solve an. NP- complete problem efficiently (i. NP. with only polynomial slowdown (Cook 1. Today we know of hundreds. NP- complete problems (Garey and. Johnson 1. 97. 9), all of which are reducible one to another in polynomial. But while clearly. Wolfram (1. 98. 5) claims that any physical system. Turing machine, and that complexity bounds on Turing machine. For example, if the. Aharonov. (1. 99. Turing machine can simulate any reasonable physical. Further examples for this thesis can be. Copeland (1. 99. 6). In order for the physical Church- Turing. There are various ways to. Pitowsky. 1. 99. 0). For example, one can encode the set of instructions of a. Turing machine and the state of its infinite tape in the. Consequently, one can physically . For the most intuitive connection between. Turing machines and physical devices see the pioneering work. Gandy (1. 98. 0), simplified later by Sieg and Byrnes (1. It should. be stressed that there is no relation between the original. Church- Turing thesis and its physical version (Pitowsky and Shagrir. Indeed, there is a long historical tradition of analog. Dewdney 1. 98. 4). Apart from analog computation, there exist at. Turing- computability, is not a natural. Pour- el and Richards 1. Pitowsky 1. 99. 0. Hogarth 1. 99. 4). Although the physical systems involved (a specific. Einstein’s field equations, respectively) are. Turing- computable (for a review see Copeland 2. Davis 2. 00. 3). Quantum hypercomputation is. See, e. g., Calude et al. Recent criticism, however, has exposed the unphysical. Smith. 2. 00. 5, Hodges 2. Hagar and Korolev 2. Consider. e. g., the DNA model of computation that was claimed (Adleman 1. Lipton 1. 99. 5) to solve NP- complete problems in. A closer inspection shows that the cost of the. Or take an allegedly instantaneous solution to another. NP- complete problem using a construction of rods and. Vergis et al. 1. 98. Another example is the physical. It thus appears that. Church- Turing thesis (as far as complexity is concerned) since they. Note, however, that. Can the shift to quantum physics allow us to find. The quest for the quantum. As early as 1. 96. Steven Wiesner suggested quantum. But the first four published papers on quantum. Wiesner published his only in 1. Alexander. Holevo (1. R. P. Poplavskii (1. Roman Ingarden (1. Yuri. Manin (1. 98. Better known are contributions made in the early 1. Charles H. Bennett of the IBM Thomas J. Watson Research Center. Paul A. Benioff of Argonne National Laboratory in Illinois, David. Deutsch of the University of Oxford, and the late Richard P. Feynman. of the California Institute of Technology. The idea emerged when. If technology continued to abide by “Moore’s Law” (the. Gordon Moore, co- founder of Intel, that. But since the physical laws that. He also explained. Feynman also conjectured that any classical computer that. In 1. 98. 5 David. Deutsch proposed the first universal quantum Turing machine and paved. The young and thriving domain. In 1. 98. 3 David Albert showed. Itamar Pitowsky raised the question. NP- complete problems. He also stressed that. The. latter supplied the basis for Shor’s algorithm for. Published in 1. 99. In that year the first experimental realization of the. CNOT gate with trapped ions was proposed by Cirac and. Zoller (1. 99. 5). In 1. 99. 5, Peter Shor and Andrew Steane proposed. In that. same year the first realization of a quantum logic gate was done in. Boulder, Colorado, following Cirac and Zoller’s proposal. A year later the first NMR model for quantum. This technique was realized in 1. Los Alamos National Lab. New paradigms of quantum algorithms have appeared, such as. NMR model had turned out to be a dead- end with respect to scaling; see. Di. Vicenzo 2. 00. The basic questions, however, remain open even today: (1). It is a mathematical object with. Just as the classical bit has a. Yet contrary. to the classical bit. In. general, thus, the physical state of a qubit is the superposition. The state of a qubit. Hilbert space, a. According to quantum theory. This sphere is often called. Bloch sphere, and it provides a useful means to visualize. In other words, the measurement changes the state of. The crucial point is that unless the qubit is measured, the. Schr. This feature. If. these were classical bits, then they could be in four possible states. Correspondingly, a pair of qubits has four. As long as the quantum system evolves. More. generally, the amount of information that can be stored in a system of. The. difficult task, however, is to retrieve this information efficiently. In quantum. computing these gates are represented by matrices, and can be. Bloch sphere. This. U\) is a matrix describing a single qubit gate, then. U^. As in the case of classical. NAND gate which results from performing an AND gate. NOT gate, in quantum computing it was shown. Barenco et al., 1. CNOT gate (which operates on a. XOR, i. e., the exclusive OR gate) and single qubit gates. One. feature of quantum gates that distinguishes them from classical gates. In order to. read the result of this computation, however, the quantum register. The measurement gate is a non- unitary gate that. Usually this measurement is. This, however, doesn’t. The wires. are used to carry the information, while the gates manipulate it (note. Conventionally, the. The first quantum. Deutsch- Jozsa, Simon, Shor and Grover) were. Additional paradigms for quantum. So far, however, they all have been. Before attacking. In some sense this is obvious, given the. Yet the demonstration that quantum. Indeed, quantum. circuits cannot be used directly to simulate classical. Toffoli. gate. This gate has three input bits and three output bits, two of. The. third bit is a target bit that is flipped if both control bits are set. This gate is reversible (its. Consequently, using the quantum version of the Toffoli. Toffoli gate) one can simulate. Quantum computers are thus capable of. Not surprisingly, a quantum. Hadamard gate, which receives as an. But while. some computational problems will always resist quantum “speed- up” (in. Myers 1. 99. 7. and Linden and Popescu 1. Church- Turing thesis, at least. Oracles are devices which are used to answer questions with a. The questions may be as elaborate. Yet all that comes out of the oracle is. The oracle architecture is very. The reason for this is that, as. Therefore if one poses a question the answer to which. On the other hand if the computation can be designed in such. Suppose we. have a function \(f : \. In this case, the function is constant if. Classically it would take two evaluations of the. Quantumly, we can. The reason for this. To see. why consider the following quantum algorithm. One can prepare the. Deutsch oracle as the superposition. The first qubit of the output of this oracle is then fed into a. Hadamard gate, and the final output of the algorithm is the state. In other words, we can distinguish in one run of the. We ask. the same question: is the function constant or balanced. Here balanced. means that the function is 0 on half of its arguments and 1 on the. Of course in this case the function may be neither. In this case the oracle doesn’t work: It may. Also here the algorithm allows one to evaluate a global. In contrast, the best deterministic classical algorithm. The function is supposed to be. The function is also supposed. The Simon oracle returns the period. Simon’s oracle reduces to Deutsch’s XOR oracle when. For more on the logical analysis of these. Bub (2. 00. 6b). Indeed, it is doubtful whether the research. But in 1. 99. 4, after realizing. Simon’s oracle can be harnessed to solve a much more interesting. RSA (Rivest. 1. 97. Peter Shor has turned quantum computing into one of the most. The period. \(r\) of \(f(x)\) depends on \(y\) and. N\). Once one knows the period, one can factor \(N\) if. The factors of. \(N\) are the greatest common divisors of. In other words, Shor’s remarkable result rests on the. Z. The function is periodic if \(r\). That. this problem can be solved efficiently by a quantum computer is. Simon’s oracle. To verify whether \(n\) is. Turing machine, and the best classical. This is yet. another open problem in the theory of computational complexity. Modern. cryptography and Internet security protocols such public key and. Giblin 1. 99. 3): It is. The discovery. that quantum computers can solve factoring in polynomial time. The implementation of the. Can you find out her name using her. Language- Integrated Quantum Operations: LIQUi. It i includes a programming language, optimization and scheduling algorithms, and quantum simulators. It allows the user to express circuits in a high- level functional language (F#), and supports the extraction of circuit data structures that can be passed to other components for circuit optimization, quantum error correction, gate replacement, export or rendering. The system is architected to be fully modular to permit easy extension as desired. LIQUi. The largest number factored to date on the simulator is a 1. The circuit was based on Beauregard. 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