The Experts below are selected from a list of 133911 Experts worldwide ranked by ideXlab platform
Mingsheng Ying - One of the best experts on this subject based on the ideXlab platform.
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q si rangle a quantum Programming Environment
arXiv: Quantum Physics, 2017Co-Authors: Shusen Liu, Mingsheng Ying, Xin Wang, Li Zhou, Ji Guan, Runyao DuanAbstract:This paper describes a quantum Programming Environment, named $Q|SI\rangle$. It is a platform embedded in the .Net language that supports quantum Programming using a quantum extension of the $\mathbf{while}$-language. The framework of the platform includes a compiler of the quantum $\mathbf{while}$-language and a suite of tools for simulating quantum computation, optimizing quantum circuits, and analyzing and verifying quantum programs. Throughout the paper, using $Q|SI\rangle$ to simulate quantum behaviors on classical platforms with a combination of components is demonstrated. The scalable framework allows the user to program customized functions on the platform. The compiler works as the core of $Q|SI\rangle$ bridging the gap from quantum hardware to quantum software. The built-in decomposition algorithms enable the universal quantum computation on the present quantum hardware.
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q si rangle a quantum Programming Environment
SCIENTIA SINICA Informationis, 2017Co-Authors: Shusen Liu, Mingsheng Ying, Xin Wang, Li Zhou, Ji Guan, Runyao DuanAbstract:This paper describes a quantum Programming Environment called $Q|SI\rangle $ . It is a platform created in the .NET language to support quantum Programming as a quantum extension of the $\mathbf{while}$-language. This platform includes a compiler for the quantum $\mathbf{while}$-language and a chain of tools for the simulation of quantum computations, optimization of quantum circuits, and analysis and verification of quantum programs. Throughout the paper, $Q|SI\rangle $ is used to simulate quantum behaviors on classical platforms and demonstrate the combination of components. The scalable framework allows users to program customized functions on the platform. The compiler works as the core of $Q|SI\rangle $ , bridging the gap between quantum hardware and quantum software. The built-in decomposition algorithms enable universal quantum computation on current quantum hardware.
Mauro Mosconi - One of the best experts on this subject based on the ideXlab platform.
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vipers a data flow visual Programming Environment based on the tcl language
Advanced Visual Interfaces, 1994Co-Authors: Massimo Bernini, Mauro MosconiAbstract:This paper presents VIPERS, a new, general purpose, visual Programming Environment, based on an augmented data-flow model. The novel design peculiarity of VIPERS is the use of a fully programmable interpretive command language (Tcl) to define the flow graph operators, as well as to control the behaviour and the appearance of the whole Programming Environment. We show how such a choice, with its resulting synergies, can lead to a multifeatured, flexible and convenient Programming Environment, where the application developer's tasks are remarkably simplified.
Steven M Hadfield - One of the best experts on this subject based on the ideXlab platform.
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raptor a visual Programming Environment for teaching algorithmic problem solving
Technical Symposium on Computer Science Education, 2005Co-Authors: Martin C Carlisle, Terry A Wilson, Jeffrey W Humphries, Steven M HadfieldAbstract:When students are learning to develop algorithms, they very often spend more time dealing with issues of syntax rather than solving the problem. Additionally, the textual nature of most Programming Environments works against the learning style of the majority of students. RAPTOR is a visual Programming Environment, designed specifically to help students envision their algorithms and avoid syntactic baggage. RAPTOR programs are created visually and can be executed visually by tracing the execution through the program. Required syntax is kept to a minimum. Students preferred expressing their algorithms visually, and were more successful creating algorithms using RAPTOR than using a traditional language or writing flowcharts.
Masaru Kamada - One of the best experts on this subject based on the ideXlab platform.
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NBiS - Development of IslayPub3.0 - Educational Programming Environment Based on State-Transition Diagrams
2015 18th International Conference on Network-Based Information Systems, 2015Co-Authors: Kazuomi Suzuki, Michitoshi Niibori, Shusuke Okamoto, Adnan Saleh Rashed, Masaru KamadaAbstract:An enhanced version of IslayPub is developed in this study. IslayPub is an educational Programming Environment available on any browsers capable of HTML5 and JavaScript. Its unique feature is to describe the behavior of automatic characters in terms of state-transition diagram visually easy to understand even for children. The former version did not offer the functions of publishing what they created and receiving likes and comments from others. In this paper, we enhance IslayPub to include those two functions which will give more fun and motivation to the children.
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development of islaypub3 0 educational Programming Environment based on state transition diagrams
Network-Based Information Systems, 2015Co-Authors: Kazuomi Suzuki, Michitoshi Niibori, Shusuke Okamoto, Adnan Saleh Rashed, Masaru KamadaAbstract:An enhanced version of IslayPub is developed in this study. IslayPub is an educational Programming Environment available on any browsers capable of HTML5 and JavaScript. Its unique feature is to describe the behavior of automatic characters in terms of state-transition diagram visually easy to understand even for children. The former version did not offer the functions of publishing what they created and receiving likes and comments from others. In this paper, we enhance IslayPub to include those two functions which will give more fun and motivation to the children.
Illah Nourbakhsh - One of the best experts on this subject based on the ideXlab platform.
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ICRA - A visual robot-Programming Environment for multidisciplinary education
2013 IEEE International Conference on Robotics and Automation, 2013Co-Authors: Jennifer Cross, Chris Bartley, Emily Hamner, Illah NourbakhshAbstract:Arts & Bots is an educational program that aims to broaden diversity and participation in technology by integrating arts and crafts with robotics. Arts & Bots is a flexible program that can be integrated into in-school and out-of-school programs in many subject areas. This paper describes the visual Programming Environment developed for Arts & Bots and its goals of low barriers to entry, classroom compatibility, supporting student acquisition of computational thinking skills, and enabling complex robot behaviors. The authors also compare and contrast the Programming Environment with other popular visual Programming Environments, namely Scratch, Alice and LEGO NXT-G.