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Memory Optimization of a Quantum-Inspired Processor for High-Speed Computation.

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Τίτλος: Memory Optimization of a Quantum-Inspired Processor for High-Speed Computation.
Συγγραφείς: U, Moulisvaran1 (AUTHOR), KP, Pramoth1 (AUTHOR), Naveencharan, Rithika1 (AUTHOR), Christabel Pravin, Sheena1 (AUTHOR), Monica P, Reena1 (AUTHOR) reenamonica@vit.ac.in
Πηγή: EPJ Web of Conferences. 3/23/2026, Vol. 360, p1-13. 13p.
Θεματικοί όροι: *Computer memory management, *Data compression, *High performance computing, *Quantum superposition, *Instruction set architecture, *SIMD (Computer architecture), *Quantum computing
Περίληψη: The Quantum-like Accelerator for Tangled (QAT) Processor is a high-performance computational unit built to simulate quantum superposition states. It does this by processing multiple bits in parallel, similar to the working of SIMD (Single Instruction, Multiple Data) architectures, while avoiding wavefunction collapse. Designed to work alongside the SHAKTI C-class processor, the QAT improves both data transfer efficiency and overall computational throughput through custom Instruction Set Architecture extensions. One of its more pressing challenges is its large memory footprint which is largely a consequence of its extensive Array of Bits (AoB) structure. To address this challenge, bit compression techniques such as quantization have been implemented, effectively reducing memory usage from 65,536 AoB to 32,768 AoB while maintaining computational fidelity. This enables the QAT to store twice the amount of data, significantly improving efficiency in quantum-inspired computing environments. The proposed architecture paves the way for enhanced quantum-classical hybrid processing, offering a scalable and efficient solution for high-performance computing applications. [ABSTRACT FROM AUTHOR]
Βάση Δεδομένων: Academic Search Index
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  – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:asx&genre=article&issn=21016275&ISBN=&volume=360&issue=&date=20260323&spage=1&pages=1-13&title=EPJ Web of Conferences&atitle=Memory%20Optimization%20of%20a%20Quantum-Inspired%20Processor%20for%20High-Speed%20Computation.&aulast=U%2C%20Moulisvaran&id=DOI:10.1051/epjconf/202636001022
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  Data: Memory Optimization of a Quantum-Inspired Processor for High-Speed Computation.
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  Data: <searchLink fieldCode="JN" term="%22EPJ+Web+of+Conferences%22">EPJ Web of Conferences</searchLink>. 3/23/2026, Vol. 360, p1-13. 13p.
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– Name: Abstract
  Label: Abstract
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  Data: The Quantum-like Accelerator for Tangled (QAT) Processor is a high-performance computational unit built to simulate quantum superposition states. It does this by processing multiple bits in parallel, similar to the working of SIMD (Single Instruction, Multiple Data) architectures, while avoiding wavefunction collapse. Designed to work alongside the SHAKTI C-class processor, the QAT improves both data transfer efficiency and overall computational throughput through custom Instruction Set Architecture extensions. One of its more pressing challenges is its large memory footprint which is largely a consequence of its extensive Array of Bits (AoB) structure. To address this challenge, bit compression techniques such as quantization have been implemented, effectively reducing memory usage from 65,536 AoB to 32,768 AoB while maintaining computational fidelity. This enables the QAT to store twice the amount of data, significantly improving efficiency in quantum-inspired computing environments. The proposed architecture paves the way for enhanced quantum-classical hybrid processing, offering a scalable and efficient solution for high-performance computing applications. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1051/epjconf/202636001022
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 1
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      – SubjectFull: Computer memory management
        Type: general
      – SubjectFull: Data compression
        Type: general
      – SubjectFull: High performance computing
        Type: general
      – SubjectFull: Quantum superposition
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      – SubjectFull: Instruction set architecture
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      – SubjectFull: SIMD (Computer architecture)
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      – SubjectFull: Quantum computing
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      – TitleFull: Memory Optimization of a Quantum-Inspired Processor for High-Speed Computation.
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            NameFull: U, Moulisvaran
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            NameFull: Monica P, Reena
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            – D: 23
              M: 03
              Text: 3/23/2026
              Type: published
              Y: 2026
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