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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 60 Documents
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Quantum Machine Learning for Drug Discovery: Accelerating the Simulation of Molecular Hamiltonians on Noisy Intermediate-Scale Quantum (NISQ) Devices Santos, Luis; Reyes, Maria Clara; Gonzales, Samantha; Anurogo, Dito
Journal of Tecnologia Quantica Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.2796

Abstract

Drug discovery increasingly relies on accurate simulation of molecular Hamiltonians, yet classical computational methods face exponential scaling barriers when modeling complex quantum systems. Recent advances in quantum machine learning (QML) and the availability of Noisy Intermediate-Scale Quantum (NISQ) devices offer new opportunities to accelerate molecular simulation despite hardware noise and qubit limitations. This study aims to evaluate the effectiveness of QML-based variational algorithms in improving the efficiency and accuracy of Hamiltonian simulation for drug-relevant molecules on NISQ platforms. A hybrid quantum–classical methodology was employed, combining variational quantum eigensolvers, noise-aware circuit optimization, and supervised learning models trained to predict energy landscapes. Experimental simulations were performed using IBM-Q and Rigetti NISQ architectures, supported by classical benchmarks for validation. The results demonstrate that QML-enhanced variational circuits significantly reduce computational depth while maintaining competitive accuracy compared to classical methods, particularly for medium-sized molecular systems. The findings also reveal that noise-adaptive training improves algorithm robustness, enabling more reliable energy estimation under realistic quantum noise conditions. The study concludes that QML provides a promising pathway for accelerating early-stage drug discovery by enabling efficient molecular Hamiltonian simulation on current-generation quantum hardware. Further integration of error mitigation and scalable QML frameworks will be essential for future advancements.
Quantum Nanorobotics: A Proposal for Quantum-Enhanced Actuation and Sensing at the Molecular Scale Frianto, Herri Trisna; A, Muhammad Firdaus; Aslam, Bilal
Journal of Tecnologia Quantica Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i5.2884

Abstract

Quantum nanorobotics has emerged as a promising interdisciplinary field aimed at enabling precise manipulation and sensing at the molecular scale, where classical mechanical approaches face fundamental limitations. The purpose of this study is to propose a unified framework for quantum-enhanced actuation and sensing that leverages quantum mechanical effects as functional resources in nanorobotic systems. The research adopts a conceptual–theoretical design supported by computational modeling and simulation grounded in quantum mechanics and quantum control theory. Simulation-based analyses demonstrate that quantum-enhanced sensing achieves significantly higher sensitivity, lower noise variance, and reduced energy consumption compared to classical nanoscale sensors, while quantum-based actuation exhibits improved precision, faster response times, and enhanced stability under environmental noise. The integrated sensing–actuation architecture reveals synergistic performance gains that surpass isolated enhancements, enabling reliable molecular-scale navigation and task execution. The study concludes that quantum coherence and tunneling can be systematically engineered to overcome classical constraints in nanorobotics, establishing quantum-enhanced control as a viable design paradigm. The novelty of this research lies in its integrative conceptual framework that unifies quantum sensing and actuation within a single nanorobotic architecture, providing a foundational model for future experimental development and interdisciplinary applications.
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).  
Coherent Coupling Between a Superconducting Qubit and a Spin Ensemble in a Hybrid Quantum System for Microwave-to-Optical Transduction Gomez, Raul; Rocha, Thiago; Santos, Luis
Journal of Tecnologia Quantica Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i6.3198

Abstract

The coupling of superconducting qubits with spin ensembles has emerged as a promising solution to bridge the microwave-optical frequency gap in hybrid quantum systems. These systems are crucial for advancing quantum communication, quantum networks, and integrated quantum technologies. However, achieving coherent coupling between these two platforms remains a significant challenge due to the differences in their operational frequency regimes and their susceptibility to decoherence. This research aims to explore the coherent coupling between a superconducting qubit and a spin ensemble, specifically focusing on its potential for efficient microwave-to-optical transduction. The primary objective of this study is to develop a hybrid quantum system that enables the transfer of quantum information between microwave and optical domains with minimal loss of coherence. Experimental and theoretical approaches were used, involving superconducting qubits and nitrogen-vacancy (NV) centers in diamonds as the spin ensemble. The results demonstrate that the coupling mechanism is efficient, achieving high transduction efficiencies and long coherence times, particularly at optimized coupling strengths. These findings suggest that the hybrid system can be used for scalable quantum communication systems, facilitating quantum information transfer across different frequency domains. In conclusion, this study provides a robust method for microwave-to-optical transduction, opening new avenues for quantum network development and hybrid quantum technologies.
Resource-Efficient Fault-Tolerant Quantum Computing Architectures Based on Surface Codes with Dynamic Error Suppression Rith, Vicheka; Kiri, Ming; Idris, Adam
Journal of Tecnologia Quantica Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i6.3199

Abstract

Quantum computing has the potential to revolutionize industries by solving complex problems that are intractable for classical computers. However, achieving fault tolerance in large-scale quantum systems remains a significant challenge due to the high resource overhead required for error correction. Surface codes, a leading quantum error correction technique, provide robust fault tolerance but demand a large number of physical qubits. This research explores a resource-efficient approach by integrating dynamic error suppression with surface codes to reduce qubit overhead while maintaining fault tolerance in quantum computing architectures. The objective of this study is to investigate how dynamic error suppression can enhance the performance of surface code-based quantum computing architectures by minimizing resource usage and improving system reliability. The research employs computational simulations to model quantum systems under varying error rates, qubit numbers, and dynamic error correction strategies. The results demonstrate that combining dynamic error suppression with surface codes significantly reduces the physical qubit overhead while maintaining or improving fault tolerance. The proposed architecture achieves higher efficiency and robustness in large-scale systems, especially at higher error rates. In conclusion, this study offers a practical solution for scaling quantum computing systems by optimizing resource usage without compromising fault tolerance. These findings have important implications for the development of efficient, fault-tolerant quantum computers suitable for real-world applications.  
Long-Lived Quantum Coherence in the Fenna-Matthews-Olson Complex: Implications for Energy Transfer Efficiency in Photosynthesis Pao, Chai; Som, Rit; Nishida, Daiki
Journal of Tecnologia Quantica Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i6.3200

Abstract

Quantum coherence has been shown to play a crucial role in optimizing energy transfer in photosynthetic systems, especially in the Fenna-Matthews-Olson (FMO) complex, which is responsible for efficiently capturing light energy in photosynthetic bacteria. While quantum coherence is often considered fragile and short-lived in biological systems, recent studies have indicated its potential for sustaining long-lived coherence, facilitating highly efficient energy transfer. This research investigates the implications of long-lived quantum coherence in the FMO complex for energy transfer efficiency, exploring how coherence persistence enhances the system’s performance. The objective of this study is to analyze the effects of long-lived quantum coherence on energy transfer efficiency in the FMO complex under varying environmental conditions, such as temperature and bath coupling. The results demonstrate that long-lived quantum coherence directly correlates with higher energy transfer efficiency, with temperature and environmental factors playing a significant role in maintaining coherence. The study shows that the FMO complex utilizes quantum coherence as an active resource to optimize energy conversion, achieving efficiencies well beyond classical expectations. In conclusion, this research underscores the importance of quantum coherence in biological energy transfer processes and offers insights into bio-inspired quantum systems for efficient energy harvesting.  
Enhancing the Efficiency of a Quantum Heat Engine Beyond the Carnot Limit Through Coherence-Assisted Bath Coupling Nizam, Zain; Malik, Fatima; Hussain, Sara
Journal of Tecnologia Quantica Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i6.3205

Abstract

The Carnot limit has long been considered the upper bound for the efficiency of heat engines, a fundamental concept in classical thermodynamics. However, in quantum systems, the possibility exists to surpass this classical boundary by exploiting quantum phenomena such as coherence. This study investigates the enhancement of a quantum heat engine's efficiency beyond the Carnot limit through coherence-assisted bath coupling. The primary objective of the research is to explore how quantum coherence between the system and its thermal bath can be used to reduce dissipation, optimize energy transfer, and increase efficiency. The research employs both theoretical modeling and computational simulations to analyze the performance of a quantum heat engine under varying coherence times and bath coupling strengths. By adjusting these parameters, the study examines the effects of coherence-assisted bath coupling on engine efficiency. The results demonstrate that, through careful manipulation of the coherence time and bath coupling strength, the quantum engine can exceed the Carnot efficiency, achieving a maximum efficiency of 78.7%. This finding indicates that quantum coherence can be used as a resource to enhance the performance of quantum heat engines. In conclusion, this study presents a new approach to quantum thermodynamics, showing that coherence-assisted bath coupling provides a viable path to enhancing quantum heat engine efficiency beyond classical limits.  

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