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All Journal Rechtsnormen Journal of Law Journal of Computer Science Advancements Journal of Noesantara Islamic Studies Journal of Moeslim Research Technik Journal of Selvicoltura Asean Journal of Tecnologia Quantica Techno Agriculturae Studium of Research Research of Scientia Naturalis Journal of Social Entrepreneurship and Creative Technology
Fujita, Miku
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Physics Other

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Journal : Journal of Computer Science Advancements

 1 
THE QUBIT PARADOX: WHY MORE QUBITS ACTUALLY LOWER ERROR RATES? Fujita, Miku; Suzuki, Ren; Nishida, Daiki
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.v3i5.3329

Abstract

Physical qubits intuitively introduces greater cumulative noise and control complexity. This “Qubit Paradox” presents a fundamental barrier to scalability, suggesting that larger systems might become inherently less stable. This research aims to rigorously validate the threshold theorem, defining the precise boundary where topological protection overcomes physical noise accumulation. We utilized high-fidelity Monte Carlo simulations of Rotated Surface Codes, scaling from distance d=3 to d=9, under realistic circuit-level noise models including leakage and crosstalk. Decoding was executed using the Minimum Weight Perfect Matching (MWPM) algorithm to analyze logical failure rates across 109 error correction cycles. Results identify a critical physical error threshold of approximately 0.57%. Below this value, logical error rates exhibited exponential suppression via power-law decay, reducing by seven orders of magnitude at distance-9. Conversely, systems operating above this threshold demonstrated error amplification with increased scale. We conclude that the paradox resolves only when individual gate fidelity surpasses the threshold, mandating that hardware optimization must precede quantitative scaling. These findings establish a validated roadmap for the transition from the NISQ era to fault-tolerant architecture.
WIRELESS COMMUNICATION TECHNOLOGIES ENABLING RELIABLE INTERNET OF THINGS SMART FARMING APPLICATIONS Wijaya, Hamid; Fujita, Miku; Nishida, Daiki
Journal of Computer Science Advancements Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v4i1.3399

Abstract

The rapid expansion of smart farming systems has intensified the need for reliable wireless communication infrastructures capable of supporting Internet of Things (IoT) applications in heterogeneous agricultural environments. Ensuring stable connectivity in rural areas characterized by large coverage demands, energy constraints, and environmental interference remains a critical challenge. This study aims to evaluate wireless communication technologies and identify optimal configurations that enable reliable IoT-based smart farming operations. A mixed-method research design integrating large-scale field experiments and simulation-based scalability analysis was employed to assess LoRaWAN, NB-IoT, Zigbee, Wi-Fi, and 5G IoT modules. Reliability was measured using packet delivery ratio, latency, coverage range, scalability, and energy consumption indicators. Results indicate that no single technology achieves optimal performance across all reliability dimensions. LPWAN technologies demonstrated superior energy efficiency and wide-area coverage, while 5G achieved the lowest latency and highest throughput. Hybrid communication architectures consistently outperformed single-technology deployments, improving packet delivery ratio and operational resilience under varying environmental conditions. The study concludes that context-aware integration of complementary wireless technologies provides the most reliable and sustainable solution for smart farming IoT ecosystems.
SOFTWARE DEFINED NETWORKING ARCHITECTURE FOR ENTERPRISE COMPUTER NETWORKS PERFORMANCE OPTIMIZATION Fujita, Miku; Nishida, Daiki; Setiawan, Setiawan
Journal of Computer Science Advancements Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v4i2.3783

Abstract

The increasing complexity and demands of modern enterprise networks have highlighted the limitations of traditional network management systems. Network performance issues such as latency, congestion, and inefficient resource allocation have become significant challenges for businesses that rely on high-speed, reliable communication. Software Defined Networking (SDN) architecture has emerged as a promising solution to these challenges, offering centralized control, flexibility, and real-time optimization. This study investigates the impact of SDN architecture on the performance optimization of enterprise computer networks. The research aims to assess how SDN can improve network throughput, reduce latency, and enhance overall network efficiency in large-scale enterprise environments. A mixed-methods approach was employed, using both quantitative performance metrics and qualitative feedback from network administrators and IT managers. The results show a significant improvement in key network performance indicators, with throughput increasing by 30%, latency decreasing by 25%, and packet loss reducing by 18% after the implementation of SDN. The study concludes that SDN is a highly effective approach for optimizing network performance, offering greater scalability, security, and efficiency in enterprise settings. SDN enables real-time, dynamic network management, making it a crucial technology for modernizing enterprise network infrastructure.
Co-Authors Arnes Yuli Vandika Dadang Muhammad Hasyim Erwis, Fauzi I Putu Dody Suarnatha Judijanto, Loso Mayndarto, Eko Cahyo Nakamura, Yui Nampira, Ardi Azhar Nasution, Ingka Harsani Nishida, Daiki Sato, Haruka Setiawan Setiawan Suzuki, Ren Takahashi, Haruto Tanaka, Kaito WIJAYA WIJAYA, WIJAYA Wijaya, Hamid Wilson, Amanda