Seema Bholah
University of Mauritius

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Fault-Tolerant Logical Qubit Operations Beyond the Threshold: Surface Code Performance Under Correlated Noise Models Seema Bholah; Rakesh Seneviratne; Lila Ramchurn
Journal of Tecnologia Quantica Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v3i2.4161

Abstract

Fault-tolerant quantum computing is essential for realizing scalable quantum processors capable of executing reliable computations despite unavoidable physical errors and environmental disturbances. Conventional threshold theory predominantly assumes independent stochastic noise, whereas practical quantum hardware increasingly exhibits spatially and temporally correlated error processes that may significantly degrade logical qubit performance. This study aimed to evaluate the robustness of surface-code logical qubit operations under correlated noise models while examining the influence of decoder performance, syndrome extraction fidelity, code distance, and correlated error dynamics on fault-tolerant computation beyond conventional threshold assumptions. A mixed-methods sequential explanatory design was employed using 15,000 large-scale quantum simulations complemented by experimental benchmark datasets, quantum hardware calibration records, decoder implementation reports, and expert evaluations. Quantitative data were analyzed through generalized linear mixed-effects modeling, threshold analysis, Monte Carlo uncertainty estimation, and multivariate statistical techniques, whereas qualitative evidence was interpreted using thematic analysis of experimental observations and technical documentation. Findings demonstrated that optimized surface-code architectures maintained high logical gate fidelity and effective logical error suppression under moderate correlated noise conditions through accurate syndrome extraction and advanced decoding strategies. Decoder adaptation substantially mitigated correlated error propagation, preserving logical qubit stability despite realistic hardware imperfections. Results indicate that practical fault tolerance depends on the integrated interaction among correlated noise characterization, decoder intelligence, logical encoding, and hardware architecture rather than physical error rates alone. The proposed framework provides a comprehensive foundation for designing scalable, experimentally robust, and resource-efficient fault-tolerant quantum computing systems.
Designing Adaptive Learning Experiences for Generation Z in the Gig Economy Fauzi Aldina; Seema Bholah; Lila Ramchurn
Journal of Paddisengeng Technology Vol. 2 No. 2 (2026)
Publisher : PT. Sinergi Bersahaja Sejahtera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65224/jopate.v2i2.274

Abstract

Background. The expansion of the gig economy has reshaped conventional career pathways and increased the need for Generation Z to develop adaptive, digital, entrepreneurial, and self-directed career competencies. Traditional career counseling, however, often remains oriented toward occupational information and linear employment pathways. Purpose. This study aimed to design and evaluate an Adaptive Career Learning Experience (ACLE) to strengthen Generation Z’s readiness for flexible, digital, and non-traditional careers.. Method. Educational Design Research was employed through analysis and exploration, design and construction, and evaluation and reflection. Participants included 180 university students for needs analysis, seven experts for validation, 24 students for a small-group trial, and 120 students for field evaluation. ACLE was structured through five stages: Explore, Adapt, Build, Simulate, and Reflect.. Novelty. The study reconceptualizes career preparation as an instructional design framework integrating adaptive learning, authentic career simulation, digital-professional competence, entrepreneurial readiness, and reflective career planning. Results. Expert validation indicated high content validity, with Aiken’s V ranging from 0.86 to 0.94. Students participating in ACLE showed significantly greater improvements than the comparison group in career adaptability, digital career competence, entrepreneurial readiness, career self-efficacy, and gig economy career readiness (p < .001). Conclusion. ACLE offers an effective framework for shifting career preparation beyond conventional counseling toward adaptive, authentic, and experiential learning that better prepares Generation Z for digitally mediated and non-linear career environments