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January 14, 20260 citationsOpen Access

Quantum Leaps in Silicon: AI Redefining Device Frontiers

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JSJ. Sudha Rani, G Nagendra, K.Swamy, Subhanvali shaik

Key Points

  • The article explores advancements in VLSI technology and emerging trends such as AI integration and quantum computing.
  • Examined key developments in VLSI configuration and materials.
  • Discussed emerging technologies like quantum processors and neuromorphic computing.
  • Analyzed security challenges and proposed solutions for device designs.
  • Identified trends in AI integration and photonics for future VLSI configuration.
  • Highlighted the importance of security-by-design in device development.
  • Emphasized the need for interdisciplinary collaboration in technology advancements.

Abstract

Abstract:This article examines key developments in VLSI configuration, such as high-level materials, 3D coordination, nanotechnology,Framework on-Chip (SOC) plans, and cutting-edge bundling.Security issues with equipment flaws and the recurring appearanceof mechanical and financial oldness make the scene even more confusing. The essay discusses emerging trends in VLSIconfiguration for the future, such as quantum processor structures, neuromorphic figuring, simulated intelligence joining, andphotonics combination. It suggests anticipated arrangements, such as cooperative settings, improvements in warm administration,security-by-plan standards, coordinated strategies, and increased interest in education. The conclusion examines the implicationsfor the future, emphasizing the need for interdisciplinary collaboration, constant variation, and a novel approach to bridling thefull capacity of coordinated devices in the astounding cosmos of the VLSI plan.

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Cite This Study

J. Sudha Rani, G Nagendra, K.Swamy, Subhanvali shaik (2026) studied this question.

synapsesocial.com/papers/6967191987ba607552bb9028https://doi.org/10.5281/zenodo.18220517
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Emerging Quantum Materials for Neuromorphic Computing: From Fundamental Physics to Device Architectures2026
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  4. 4Analysis of Scaling Effects and Low Power Techniques in Deep Submicron VLSI Design2026
  5. 5Next-Generation Embedded Systems: Edge Computing, IoT and Artificial Intelligence Convergence2026