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All Journal Journal of Computer Science Advancements Cognitionis Civitatis et Politicae
Ravi Dara
Soath East University
Computer Science & IT Social Sciences

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DIGITAL TWINS: TRANSFORMING URBAN PLANNING AND INFRASTRUCTURE MANAGEMENT Ravi Dara; Muhammad Syaiful; Chenda Dara
Cognitionis Civitatis et Politicae Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/politicae.v2i4.2160

Abstract

The rapid advancement of digital technologies has paved the way for innovative approaches in urban planning and infrastructure management. Digital twins, virtual replicas of physical entities, have emerged as a transformative tool in these fields, allowing for real-time monitoring and analysis.This research aims to explore the potential of digital twins in enhancing urban planning and infrastructure management. Specifically, it investigates how these technologies can improve decision-making processes, optimize resource allocation, and foster sustainable urban development. A mixed-methods approach was employed, combining quantitative data analysis from existing digital twin projects with qualitative case studies. Data were collected from various urban environments utilizing digital twins, focusing on metrics such as efficiency, cost savings, and stakeholder engagement. The findings reveal that digital twins significantly enhance urban planning by providing precise simulations of urban environments. Case studies demonstrated improved decision-making capabilities, leading to a 30% increase in resource efficiency and a 25% reduction in project costs. Stakeholder engagement also improved, with participants reporting higher satisfaction levels due to transparent processes. Digital twins represent a paradigm shift in urban planning and infrastructure management. The integration of real-time data and predictive analytics provides urban planners and managers with valuable insights, enabling more informed decisions. This research underscores the importance of adopting digital twin technologies to foster sustainable urban development and improve the overall quality of life in cities. Further studies are recommended to explore the long-term impacts of digital twin implementations across diverse urban contexts.
PEELING THE WILLOW CHIP GOOGLE’S BREAKTHROUGH IN TAMING QUANTUM ERROR Ravi Dara; Chenda Dara; Chak Sothy
Journal of Computer Science Advancements Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i5.3324

Abstract

The realization of fault-tolerant quantum computing is currently impeded by the stochastic nature of qubit decoherence and the inherent complexity of scaling control systems. This study rigorously evaluates the architectural innovations of Google’s Willow processor, specifically investigating its efficacy in mitigating noise through surface code error correction. The primary objective is to verify the hypothesis of exponential error suppression within a superconducting transmon array, determining if the system can surpass the critical “break-even” point. Methodologically, the research employs a quantitative performance analysis, configuring physical qubits into logical units of varying code distances (d=3 to d=7) and subjecting them to sustained syndrome extraction cycles under millikelvin cryogenic conditions. Results indicate a fundamental departure from previous scaling paradoxes; logical error rates were observed to halve with every increment in code distance, definitively crossing the algorithmic break-even threshold. The data confirms that real-time decoding and optimized tunable coupler designs effectively isolate errors, preventing topological lattice corruption. In conclusion, the Willow chip provides empirical validation that increasing system size now yields higher fidelity, establishing a critical engineering baseline for the development of large-scale, utility-grade quantum computers.
Co-Authors Chak Sothy Chenda Dara Muhammad Syaiful