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All Journal Journal of Tecnologia Quantica Journal of Humanities Research Sustainability
Mammadov, Elchin
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Humanities Physics

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Digital Amnesia And Algorithmic Memory: Reconstructing The Past In The Age Of Big Data Archives Mokoena, Thabo; Mammadov, Elchin; Rustiyana, Rustiyana
Journal of Humanities Research Sustainability Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v2i4.2651

Abstract

Background. The exponential growth of digital data and algorithmic curation has transformed how societies construct, preserve, and remember the past. The phenomenon of digital amnesia the tendency to outsource memory to digital systems reveals a paradox of modern knowledge: while more information is archived than ever before, human capacity for contextual recollection diminishes. Purpose. This study investigates how algorithmic mechanisms within big data archives reconstruct historical narratives and shape collective memory in the digital age. The research aims to analyze the epistemological and ethical implications of algorithmic memory, focusing on how automated retrieval, ranking, and personalization systems mediate historical knowledge and cultural continuity Method. A qualitative multi-case analysis was conducted on digital archival platforms and algorithmic recommendation systems using interpretive content analysis and critical data studies methodology. Results. The findings show that algorithmic archives not only preserve information but actively curate and reinterpret history through patterns of visibility and omission. The findings indicate that memory in the age of big data is not neutral but performative constructed through computational decisions that privilege certain narratives while marginalizing others. Conclusion. The study concludes that the digital era demands a critical redefinition of archival literacy, emphasizing the need for transparency, human oversight, and ethical design in algorithmic systems. Understanding digital amnesia thus becomes essential to safeguarding cultural memory and ensuring that the reconstruction of the past remains plural, accountable, and inclusive.
Quantum Lithography: Achieving Sub-Diffraction Resolution using N00N States and Multi-Photon Absorption Mammadov, Elchin; John, Kerry; Langa, John
Journal of Tecnologia Quantica Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v3i2.3583

Abstract

Classical optical lithography is fundamentally limited by the diffraction limit, restricting achievable resolution in nanoscale fabrication. Quantum lithography has been proposed as a solution by exploiting entangled photon states, particularly N00N states, which enable interference patterns with sub-wavelength spacing. This study aims to investigate the feasibility of achieving sub-diffraction resolution using N00N states combined with multi-photon absorption processes under realistic conditions. A theoretical–computational approach was employed, integrating quantum optical modeling with numerical simulations across varying photon numbers, absorption orders, and loss parameters. Spatial resolution, fringe visibility, and absorption efficiency were used as key performance metrics. The results indicate that N00N states achieve resolution scaling inversely with photon number, successfully surpassing the classical diffraction limit. However, increased photon number significantly reduces multi-photon absorption probability and makes the system more sensitive to loss and decoherence. These findings reveal a fundamental trade-off between resolution enhancement and detection feasibility. This study concludes that quantum lithography offers a powerful pathway for sub-diffraction patterning, but practical implementation requires optimization of photon number, absorption efficiency, and system robustness to environmental disturbances.
Co-Authors John, Kerry Langa, John Mokoena, Thabo Rustiyana, Rustiyana