Noise injection into Freeman chain codes by Luka Lukač, Andrej Nerat, Damjan Strnad, Ivana Kolingerová, Borut Žalik

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Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise. by Johannes Burge, Priyank Jaini

“…Specifically, we find that non-orthogonal (partially redundant) filters with scaled additive noise tend to outperform orthogonal filters with constant additive noise; non-orthogonal filters and scaled additive noise can interact to sculpt noise-induced stimulus encoding uncertainty to match task-irrelevant stimulus variability. …”
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Low-overhead quantum computing with the color code by Felix Thomsen, Markus S. Kesselring, Stephen D. Bartlett, Benjamin J. Brown

“…Fault-tolerant quantum computation demands significant resources: large numbers of physical qubits must be checked for errors repeatedly to protect quantum data as logic gates are implemented in the presence of noise. …”
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Color code decoder with improved scaling for correcting circuit-level noise by Seok-Hyung Lee, Andrew Li, Stephen D. Bartlett

“…Two-dimensional color codes are a promising candidate for fault-tolerant quantum computing, as they have high encoding rates, transversal implementation of logical Clifford gates, and resource-efficient magic state preparation schemes. …”
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On the Firmness Code Noising to the Statistical Analysis of the Observable Data of Repeated Repetition by V. M. Deundyak, J. V. Kosolapov

“…We investigate the firmness of code noising to the statistical analysis of the evesdropped messages of repeated repetition. …”
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Noise Robustness of Quantum Relaxation for Combinatorial Optimization by Kentaro Tamura, Yohichi Suzuki, Rudy Raymond, C. Hiroshi Watanabe, Yuki Sato, Ruho Kondo, Michihiko Sugawara, Naoki Yamamoto

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ANALYTICAL MODEL OF NOISE STABILITY CALCULATION OF SYSTEMS WITH MULTIPOSITIONAL MODULATION AND CODING BY REED-SOLOMON ALGORITHM by E. B. Lipkovich, V. A. Kovshik, A. A. Serchenya

“…In contrast to the well-known approaches to determining the noise immunity of systems that require computation model, new estimating models are presented that do not require knowledge of the spectrum coefficients, computer simulation training methods and graphical construction of interference curves for various types of modulation and coding parameters. …”
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Q-Pandora Unboxed: Characterizing Resilience of Quantum Error Correction Codes Under Biased Noise by Avimita Chatterjee, Subrata Das, Swaroop Ghosh

“…Quantum error correction codes (QECCs) are essential for reliable quantum computing as they protect quantum states against noise and errors. …”
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Enhanced Distributed Computation for Machine Learning: Coded Strategies and Multidisciplinary Impact by Tian Xiaolin

“…These systems, however, introduce complexities such as straggler nodes and system failures, which can disrupt computational efficiency. Coded computation offers a solution by introducing redundancy that guards against system failures and enhances data noise mitigation. …”
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Error Correction of Transversal cnot Gates for Scalable Surface-Code Computation by Kaavya Sahay, Yingjia Lin, Shilin Huang, Kenneth R. Brown, Shruti Puri

“…We extend our analysis with a study of tailored decoding of a transversal-teleportation circuit, along with a comparison between the performance of lattice-surgery and transversal operations under Pauli- and erasure-noise models. Our investigation builds toward systematic estimation of the cost of implementing large-scale quantum algorithms based on transversal gates in the surface code.…”
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A Lower Bound on the Success Probability of Binary Random Linear Network Codes Aided by Noise Decoding by Ioannis Chatzigeorgiou

“…Syndrome decoding (SD), which conforms to the broad definition of guessing random additive noise decoding (GRAND), endeavors to repair partially-correct received coded packets – which would otherwise be discarded by the packet erasure decoder – and boost the probability of a receiver successfully recovering the transmitted message. …”
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Studying the influence of correction codes on coherent reception of M-PSK signals in the presence of noise and harmonic interference by V. D. Nguyen

“…It is shown that the application of the correction codes effectively corrects errors in the presence of noise and harmonic interference with lower intensity. …”
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Estimation of Sidelobe Level Variations of Phased Codes in Presence of Random Interference for Bistatic Wideband Noise Radar by Ana Vazquez Alejos, Muhammad Dawood, Habeeb Ur-Rahman Mohammed

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Recurrent neural network based turbo decoding algorithms for different code rates by Shridhar B. Devamane, Rajeshwari L. Itagi

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Compiler-assisted code generation for quantum computing: leveraging the unique properties of quantum architectures by G. G. James, A. P. Ekong, A. U. Unyime, A. Akpanobong, J. A. Odey, D. O. Egete, S. Inyang, I. Ohaeri, C. M. Orazulume, E. Etuk, P. Okafor

“… Quantum computing holds transformative potential, but its adoption is hindered by the complexity of generating efficient, hardware-specific code. …”
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Polarimetric Identification of 3D-Printed Nano Particle Encoded Optical Codes by Kavan Ahmadi, Pedro Latorre-Carmona, Bahram Javidi, Artur Carnicer

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Multi-Layered Security Framework Combining Steganography and DNA Coding by Bhavya Kallapu, Avinash Nanda Janardhan, Rama Moorthy Hejamadi, Krishnaraj Rao Nandikoor Shrinivas, Saritha, Raghunandan Kemmannu Ramesh, Lubna A. Gabralla

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Psitrum: An open source simulator for universal quantum computers by Mohammed Alghadeer, Eid Aldawsari, Raja Selvarajan, Khaled Alutaibi, Sabre Kais, Fahhad H. Alharbi

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System noise removal for area-array satellite image considering self-constraint and graph regularized row sparse coding by Tianzhen Wan, Jun Pan, Mi Wang

“…To address these challenges, a novel system noise estimation method that considers self-constraint and graph regularized row sparse coding (SC-GRSC) is proposed. …”
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A Method for Calculating of the Efficiency of Communication Systems with Multiple Modulation Types and Multi-Stage Composite Coding by E. B. Lipkovich, V. V. Rabtsevich

“…The calculation of the characteristics of systems with cascade composite coding is carried out in a closed form and does not require the use of complex computer simulation procedures.…”
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