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All Journal Journal of Tecnologia Quantica Journal Neosantara Hybrid Learning
Deborah Wanyama
Uganda Christian University
Physics

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Sub-Shot-Noise Phase Estimation via Adaptive Bayesian Protocols in Noisy Intermediate-Scale Quantum Sensors Helen Nabirye; Ronald Muwanguzi; Deborah Wanyama
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.v3i2.4158

Abstract

Quantum sensing has emerged as a transformative technology for precision measurement, offering the potential to surpass the classical shot-noise limit through quantum-enhanced estimation strategies. Practical implementation within Noisy Intermediate-Scale Quantum (NISQ) platforms, however, remains constrained by decoherence, gate imperfections, measurement uncertainty, and limited quantum resources that reduce achievable sensing accuracy. This study aimed to evaluate the effectiveness of adaptive Bayesian protocols in achieving sub-shot-noise phase estimation under realistic NISQ operating conditions while examining the roles of adaptive feedback, posterior convergence, quantum coherence, and resource optimization. A mixed-methods sequential explanatory design was employed using 12,000 quantum sensing simulations complemented by experimental benchmark datasets, laboratory implementation records, and expert evaluations. Quantitative data were analyzed through Bayesian performance analysis, repeated-measures statistical testing, multivariate regression, and Monte Carlo uncertainty estimation, whereas qualitative evidence was interpreted using thematic analysis of experimental observations and implementation reports. Findings demonstrated that adaptive Bayesian estimation significantly improved phase estimation accuracy, accelerated posterior convergence, enhanced Fisher information, preserved quantum coherence, and consistently achieved sub-shot-noise precision across diverse NISQ sensing architectures despite realistic noise conditions. Results indicate that intelligent probabilistic inference functions as a critical component of practical quantum metrology by dynamically optimizing measurement strategies and compensating for hardware limitations. The proposed framework provides a robust foundation for developing scalable, resource-efficient, and experimentally feasible quantum sensing systems for future scientific and industrial precision measurement applications.
INTEGRATING SOCIAL-EMOTIONAL LEARNING (SEL) INTO A HYBRID MIDDLE SCHOOL CURRICULUM TO FOSTER DIGITAL WELLBEING AND RESILIENCE Helen Nabirye; Ronald Muwanguzi; Deborah Wanyama
Journal Neosantara Hybrid Learning Vol. 3 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnhl.v3i6.3358

Abstract

The increasing integration of digital technologies in middle school education has transformed how students learn, interact, and develop their emotional intelligence. However, prolonged digital engagement in hybrid learning environments often leads to emotional fatigue, decreased empathy, and reduced digital wellbeing among adolescents. Addressing this challenge requires embedding Social-Emotional Learning (SEL) within hybrid curricula to enhance students’ resilience, empathy, and self-regulation in digital contexts. This study aims to design and evaluate an SEL-integrated hybrid curriculum model that promotes digital wellbeing and emotional balance among middle school students. A mixed-method design was employed, combining quasi-experimental and qualitative approaches. The participants included 120 students from three hybrid middle schools in Indonesia. Quantitative data were gathered through pre- and post-intervention surveys using a validated SEL and digital wellbeing scale, while qualitative insights were collected from focus group discussions and classroom observations. Data were analyzed using paired-sample t-tests and thematic coding. Results revealed significant improvements in students’ emotional awareness (p < 0.01), empathy (p < 0.01), and digital self-regulation (p < 0.05). Qualitative findings further indicated that integrating SEL practices such as mindfulness exercises, reflective journaling, and collaborative digital storytelling enhanced students’ resilience and strengthened teacher-student relationships in hybrid settings. The study concludes that embedding SEL into hybrid curricula effectively fosters holistic learning, digital citizenship, and emotional stability. This framework offers a scalable model for schools seeking to balance academic achievement with psychological wellbeing in digitally mediated education.
Co-Authors Helen Nabirye Ronald Muwanguzi