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Gray code based gradient-free optimization algorithm for parameterized quantum circuit
A Gray code based gradient-free optimization (GCO) algorithm is proposed to update the parameters of parameterized quantum circuits (PQCs) in this work. Each parameter of PQCs is encoded as a binary string, named as a gene, and a genetic-based method is adopted to select the offsprings.
Anqi 安琪 Zhang 张 +2 more
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g-binary: A New Non-parameterized Code for Improved Inverted File Compression
International Conference on Database and Expert Systems Applications, 2003The inverted file is a popular and efficient method for indexing text databases and is being used widely in information retrieval applications. As a result, the research literature is rich in models (global and local) that describe and compress inverted file indexes. Global models compress the entire inverted file index using the same method and can be
Ilias Nitsos +2 more
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Parameteric coding of speech signals
2009 International Conference on Ultra Modern Telecommunications & Workshops, 2009In this paper an FS1015 LPC coder has been designed using Matlab to produce intelligible speech. This paper focuses on the different methods of implementation and compared to determine, which gives the best performance. The coder has been tested on Hindi.
Vivek Kumar Sehgal +5 more
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Generalized Hamming weights and some parameterized codes
Discrete Mathematics, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
González Sarabia, Manuel +1 more
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Pion cross section parameterizations for space radiation codes
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 2013Abstract The space radiation environment consists of energetic particles that originate from the Sun and from sources outside the solar system. It is necessary to understand how these particles interact with materials to design effective radiation shielding.
Charles M. Werneth +2 more
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Simplifying the Parameterization of Real-Coded Evolutionary Algorithms
Critical Transitions in Water and Environmental Resources Management, 2004This paper demonstrates how existing parameterization techniques for binary coded genetic algorithms can be extended to real -coded evolutionary algorithms. An easy-to-implement framework for automating parameter setting for real -coded evolutionary algorithms is demonstrated in this study using Differential Evolution (DE), a real -coded evolutionary ...
Patrick M. Reed, Satoshi Yamaguchi
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Parameterized Intractability of Even Set and Shortest Vector Problem from Gap-ETH
Electron. Colloquium Comput. Complex., 2018The $k$-Even Set problem is a parameterized variant of the Minimum Distance Problem of linear codes over $\mathbb F_2$, which can be stated as follows: given a generator matrix $\mathbf A$ and an integer $k$, determine whether the code generated by ...
Arnab Bhattacharyya +3 more
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Flexible Parameterization of XOR based Codes for Distributed Storage
2008 Seventh IEEE International Symposium on Network Computing and Applications, 2008Distributed storage systems apply erasure-tolerant codes to guarantee reliable access to data despite failures of storage resources. While many codes can be mapped to XOR operations and efficiently implemented on common microprocessors, only a certain number of codes are usually implemented in a certain system (out of a wide variety of different codes).
Peter Sobe, Kathrin Peter
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Large Language Diffusion Models
arXiv.orgThe capabilities of large language models (LLMs) are widely regarded as relying on autoregressive models (ARMs). We challenge this notion by introducing LLaDA, a diffusion model trained from scratch under the pre-training and supervised fine-tuning (SFT)
Shen Nie +9 more
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Mercury: Ultra-Fast Language Models Based on Diffusion
arXiv.orgWe present Mercury, a new generation of commercial-scale large language models (LLMs) based on diffusion. These models are parameterized via the Transformer architecture and trained to predict multiple tokens in parallel.
Samar Khanna +11 more
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