cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Adam Mudinillah
Contact Email
adammudinillah@staialhikmahpariangan.ac.id
Phone
+6285379388533
Journal Mail Official
adammudinillah@staialhikmahpariangan.ac.id
Editorial Address
Jorong Kubang Kaciak Dusun Kubang Kaciak, Kelurahan Balai Tangah, Kecamatan Lintau Buo Utara, Kabupaten Tanah Datar, Provinsi Sumatera Barat, Kodepos 27293.
Location
Kab. tanah datar,
Sumatera barat
INDONESIA
Journal of Tecnologia Quantica
Published by Yayasan Adra Karima Hubbi
ISSN : 30626757     EISSN : 30481740     DOI : 10.70177/quantica
Core Subject : Science,
Physics
Journal of Tecnologia Quantica is dedicated to bringing together the latest and most important results and perspectives from across the emerging field of quantum science and technology. Journal of Tecnologia Quantica is a highly selective journal; submissions must be both essential reading for a particular sub-field and of interest to the broader quantum science and technology community with the expectation for lasting scientific and technological impact. We therefore anticipate that only a small proportion of submissions to Journal of Tecnologia Quantica will be selected for publication. We feel that the rapidly growing QST community is looking for a journal with this profile, and one that together we can achieve. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : Fisika dan Astronomi - Fisika Nuklir dan Molekuler, dan Ooptik
Articles 7 Documents
 1 
Search results for , issue "Vol. 2 No. 5 (2025)" : 7 Documents clear
The Effectiveness of Interactive Learning Media Based on Augmented Reality in Enhancing Elementary School Students’ Learning Motivation Faisal, Faisal; Rachmat, Rachmat; Asia, Siti Nur; Suherwin, Suherwin; Ibrahim, Abdul
Journal of Tecnologia Quantica Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i3.2443

Abstract

This study aims to analyze the effectiveness of using augmented reality (AR) based learning media in enhancing the learning motivation of elementary school students. By employing a multiple linear regression approach on simulated data, this research evaluates the influence of several key factors, namely AR visualization quality, teacher support, ease of use, and supporting infrastructure. The analysis results show that AR visualization quality, teacher support, and ease of use significantly affect the improvement of learning motivation. The developed model has a coefficient of determination (R² ? 0.77), indicating that 77% of the variation in learning motivation can be explained by the independent variables, with a relatively small prediction error (RMSE ? 0.53). The F-test also confirmed that the model is overall significant. These findings indicate that the integration of AR in learning not only increases visual appeal but also strengthens the role of teachers and enhances students’ ease of interaction with the material. Nevertheless, this study is still based on simulated data, so further research with broader and more realistic empirical data is required to validate the results.
Implementation of Blockchain Technology to Improve Transparency and Accountability in the Mineral Supply Chain Kasmira, Kasmira
Journal of Tecnologia Quantica Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.2537

Abstract

This study analyzes the potential and challenges of implementing blockchain technology to enhance transparency, accountability, and traceability in mineral supply chains. Using a qualitative approach with case-study methods and thematic analysis of interviews, company reports, regulatory documents, and scientific literature, the study compares initiatives by several industry actors. The findings show that blockchain strengthens end?to?end provenance tracking, authenticity verification, compliance with environmental and ethical standards, and minimizes data manipulation and illicit trade practices. In addition, blockchain integration drives operational efficiency and inter?stakeholder trust through immutable, auditable transaction logs. However, adoption faces structural barriers in the form of regulatory uncertainty, limited digital infrastructure in developing countries, and organizational resistance to system change. This study recommends establishing clear regulatory frameworks, public–private collaboration, cross?platform data standardization, and capacity building including integration with IoT and digital identity to maximize blockchain’s impact on more sustainable and responsible governance of mineral supply chains.
Error Correction Codes for Fault-Tolerant Quantum Computation in Superconducting Qubit Architectures Judijanto, Loso; Rith, Vicheka; Sok, Vanna
Journal of Tecnologia Quantica Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i4.2790

Abstract

Fault-tolerant quantum computation remains a central challenge in superconducting qubit architectures, where decoherence, crosstalk, and gate infidelities significantly degrade computational reliability. Although quantum error correction (QEC) codes are widely assumed to provide scalable protection, their practical performance depends critically on hardware-specific noise characteristics that are often underexamined. This study aims to evaluate the effectiveness of leading QEC codes specifically the surface code, Bacon-Shor code, and low-density parity-check (LDPC) quantum codes when implemented on contemporary superconducting qubit platforms. A simulation-based methodological approach is employed, integrating stochastic noise modeling, syndrome extraction analysis, and threshold estimation using density-matrix simulations calibrated with experimentally reported parameters. The results indicate that while the surface code maintains the highest threshold under realistic two-qubit gate fidelities, LDPC-based schemes exhibit superior logical qubit compression but suffer from decoding overhead that limits near-term applicability. The study also identifies parameter regimes where Bacon-Shor codes offer competitive performance due to their reduced measurement complexity. The findings suggest that no single QEC code uniformly outperforms others; instead, code selection must be matched to hardware-specific noise anisotropy and architectural constraints. The research concludes that optimizing QEC for superconducting qubits requires hybrid design strategies that integrate code efficiency with architecture-aware gate scheduling.
Tunable Non-Linear Dynamics in Nano-Electromechanical Systems (NEMS) Driven by Casimir Force Modulation Yadav, Vishal; Desai, Sanya; Keolavong, Manivone
Journal of Tecnologia Quantica Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.3193

Abstract

Nano-electromechanical systems (NEMS) exhibit remarkable sensitivity and non-linear behavior at the nanoscale, making them ideal candidates for applications in sensing, actuation, and quantum technologies. The Casimir force, a quantum phenomenon resulting from vacuum fluctuations, becomes significant at small scales and has the potential to modulate the dynamics of NEMS. This research investigates the tunable non-linear dynamics in NEMS driven by Casimir force modulation, exploring the ability to induce non-linear behaviors such as bistability, hysteresis, and chaotic motion. The primary objective of this study is to understand how Casimir force modulation can be used to control the non-linear dynamics of NEMS, providing a new method for tuning their mechanical responses. The research combines both theoretical simulations and experimental validation, examining the effects of Casimir force on different materials, including graphene, silicon, and carbon nanotubes, across various modulation strengths. The results show that Casimir force modulation can significantly enhance non-linear behaviors in NEMS, with graphene-based systems exhibiting the most pronounced effects. The study demonstrates that the Casimir force can be precisely tuned to induce specific non-linear behaviors, offering new opportunities for NEMS applications. In conclusion, this research highlights the potential of Casimir force modulation to enable highly tunable, stable non-linear dynamics in NEMS, paving the way for advanced quantum sensing, actuation, and other nanoscale technologies.
Device-Independent Quantum Key Distribution Over Long-Distance Fiber Networks Using Entanglement Swapping Architectures Lee, Ava; Tan, Marcus; Gankhuyag, Baasandorj
Journal of Tecnologia Quantica Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.3194

Abstract

Quantum Key Distribution (QKD) has emerged as a powerful solution for secure communication, relying on the principles of quantum mechanics to guarantee the security of transmitted keys. However, traditional QKD protocols are dependent on the trustworthiness of the devices used, which introduces vulnerabilities. Device-independent quantum key distribution (DI-QKD) eliminates this dependency, offering a higher level of security. This research explores the use of DI-QKD over long-distance fiber networks by incorporating entanglement swapping architectures to extend the reach and enhance the security of quantum key distribution systems. The objective of this study is to evaluate the feasibility of DI-QKD over long-distance fiber-optic networks, employing entanglement swapping as a means to mitigate photon loss and noise over extended distances. The research employs both theoretical modeling and experimental validation, simulating long-distance fiber links with quantum repeaters and entanglement swapping nodes. The results demonstrate that entanglement swapping significantly extends the distance over which secure DI-QKD can be achieved, maintaining low quantum bit error rates (QBER) and high key generation rates even at distances of 200 km. The findings confirm that DI-QKD is feasible over practical fiber networks, and entanglement swapping is a key enabler for long-distance secure quantum communication.    
Surpassing the Standard Quantum Limit in Force Sensing via Squeezed Light Injection in a Cavity Optomechanical System Jun, Wang; Mei, Chen; Reyes, Maria Clara
Journal of Tecnologia Quantica Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.3195

Abstract

The Standard Quantum Limit (SQL) sets a fundamental barrier on the precision of force sensing due to quantum fluctuations. Surpassing this limit is crucial for advancing the sensitivity of force sensors, especially in applications like gravitational wave detection and quantum metrology. This study explores the potential of squeezed light injection into cavity optomechanical systems to surpass the SQL in force sensing. The main objective is to develop a method that enhances the precision of force measurements by leveraging quantum squeezing, thereby reducing quantum noise in one quadrature of the light field. The research employs both theoretical modeling and experimental techniques to study the effects of squeezed light on the force sensitivity of a cavity optomechanical system. The system was tested with varying squeezing levels and optomechanical coupling strengths. Force sensitivity was measured using a heterodyne detection setup, with the results compared to the SQL. The findings demonstrate that force sensitivity can indeed surpass the SQL by utilizing squeezed light, with a significant improvement in precision observed at higher squeezing levels. At 12 dB of squeezing, the system achieved a sensitivity of 3.1 × 10?¹³ N/?Hz, well below the SQL. This research confirms that squeezed light injection, combined with optimized optomechanical coupling, is a viable technique for quantum-enhanced force sensing.  
Unsupervised Classification of Topological Phase Transitions in Many-Body Quantum Systems Using Variational Quantum Eigensolvers Aziz, Safiullah; Raza, Amir; Kiat, Ton
Journal of Tecnologia Quantica Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.3197

Abstract

The study of topological phase transitions in many-body quantum systems has gained significant attention due to its implications for quantum computing and condensed matter physics. Traditional methods of classifying topological phases often rely on computationally expensive techniques or labeled data, which can be impractical for large systems. This research aims to develop a novel, scalable approach for unsupervised classification of topological phase transitions using Variational Quantum Eigensolvers (VQEs) in conjunction with unsupervised machine learning algorithms. The objective is to efficiently classify quantum phases without requiring pre-labeled data, offering a more efficient solution for studying large, interacting quantum systems. The methodology involves simulating quantum systems, including a 1D spin chain and a 2D topological insulator, and optimizing their ground states using VQEs. Key quantum features, such as energy spectra and correlation functions, are extracted and fed into clustering algorithms to identify different topological phases. The performance of the unsupervised learning algorithm is evaluated through clustering purity and accuracy metrics. The results demonstrate that the proposed method successfully identifies trivial and non-trivial phases with high accuracy (95% for the 1D spin chain and 92% for the 2D topological insulator).  

Page 1 of 1 | Total Record : 7

 1 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol. 3 No. 2 (2026) Vol. 3 No. 1 (2026) Vol. 2 No. 6 (2025) Vol. 2 No. 5 (2025) Vol. 2 No. 4 (2025) Vol. 2 No. 3 (2025) Vol. 2 No. 2 (2025) Vol. 2 No. 1 (2025) Vol. 1 No. 6 (2024) Vol. 1 No. 5 (2024) Vol. 1 No. 4 (2024) Vol. 1 No. 3 (2024) Vol. 1 No. 2 (2024) Vol. 1 No. 1 (2024) More Issue