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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 5 Documents
 1 
Search results for , issue "Vol. 1 No. 6 (2024)" : 5 Documents clear
Quantum Radar for Hidden Object Detection Rahimi, Ramin; Reza, Ali; Hashemi, Fatemeh
Journal of Tecnologia Quantica Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i6.1699

Abstract

Quantum radar is an innovative technology with great potential for detecting hidden objects with high precision. The background of this research is the need for technology that is able to detect objects behind material barriers with better accuracy than conventional radar, especially in search, rescue, and security applications. This study aims to evaluate the effectiveness of quantum radar in detecting hidden objects based on the type of barrier material, thickness, and detection distance. The research was conducted using an experimental method with a quantum radar prototype that was tested on various types of barrier materials, such as wood, concrete, and metal, in a controlled environment. Data is collected to evaluate the detection accuracy at a specific material thickness and the detection distance is between 1 to 7 meters. Quantitative analysis is used to identify patterns of relationships between material parameters, thickness, distance, and accuracy. The results show that quantum radar has the highest accuracy in wood materials with an accuracy rate of 89%, followed by concrete (78%), and metal (65%). The thickness of the material and the greater detection distance lead to a significant decrease in accuracy. The conclusion of this study indicates that quantum radar is effective for detecting objects behind non-conductive materials, but requires further development to overcome the weaknesses of reflective and long-range materials.
Application of Quantum Computing in the Design of New Materials for Batteries Demir, Ahmet; Yildiz, Emine; Kaya, Cemil
Journal of Tecnologia Quantica Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i6.1700

Abstract

The background of this research focuses on the challenges of developing batteries with high capacity, efficiency, and long life. Quantum computing is considered a promising technology for designing new materials that can solve these problems. The purpose of the study is to examine the potential application of quantum computing in the design of battery materials that are more efficient and have better stability. The method used is a quantum simulation to model the interactions of atoms and molecules in various materials that have the potential to be used for batteries, such as lithium-sulfur, graphene, and sodium-ion. The results showed that lithium-sulfur-based materials have a high energy capacity but are less stable, while graphene is more stable with excellent conductivity despite a slightly lower energy capacity. These results provide new insights into the selection of battery materials based on the balance between energy capacity, conductivity, and thermal stability. The conclusion of this study confirms the importance of quantum computing in accelerating the development of more efficient and environmentally friendly battery materials, although further physical experiments are needed to verify the results of quantum simulations.
Quantum Simulation for Studying High-Temperature Superconductors Sayed, Yasser; Hossam, Ahmed; Abdallah, Mona
Journal of Tecnologia Quantica Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i6.1701

Abstract

High-temperature superconductors are a very interesting phenomenon because they can operate at much higher temperatures compared to conventional superconductors. However, the mechanism underlying superconductivity at high temperatures is still not fully understood. This study aims to study the properties of high-temperature superconductors through quantum simulations to identify factors that affect the critical temperature and phase stability of superconductors. The method used is quantum simulation using the Monte Carlo technique to model electron-interaction and magnetic fluctuations in various high-temperature superconducting materials, such as cuprates and iron-based superconductors. The results showed that strong electron interactions and optimal crystal structure played an important role in achieving high critical temperatures, while strong magnetic fluctuations could disrupt the stability of Cooper pairs and lower critical temperatures. This research contributes to a deeper understanding of the role of electron-interaction and magnetic fluctuations in high-temperature superconductivity, as well as opening up opportunities to design new materials with higher critical temperatures. The limitations of this study lie in the complexity of the system being studied, which requires large computing resources. Further research can be focused on the development of more efficient simulation algorithms and the application of physical experiments to validate the simulation results.
Quantum Cryptography to Secure Financial Data Williams, Sarah; Martin, David; Green, Jessica
Journal of Tecnologia Quantica Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i6.1702

Abstract

The background of this research focuses on the security challenges of financial data in the era of quantum computing, which can threaten traditional encryption systems. With the advancement of quantum computing technology, quantum cryptography is considered a potential solution to protect sensitive data from more sophisticated eavesdropping threats. The purpose of this study is to evaluate the effectiveness of the quantum key distribution protocol (QKD) in securing financial data and analyze its advantages and disadvantages in this context. The method used is a performance simulation of the three main QKD protocols (BB84, E91, and B92) to measure key delivery time, security level, and computing resource usage. The results show that the E91 protocol offers a higher level of security than BB84 and B92, although it requires longer delivery times and more resources. The conclusion of this study emphasizes that although quantum cryptography has great potential for securing financial data, its practical application still faces various challenges, especially in terms of efficiency and necessary resources. Further research is needed to optimize these protocols and overcome technical and cost barriers to implementation on a financial industry scale.
Quantum Computing for Logistics and Supply Chain Optimization Pérez, Carlos; Rodríguez, Ana; Hernández, Luis
Journal of Tecnologia Quantica Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i6.1703

Abstract

The background of this research is related to the challenges faced by the logistics and supply chain industry in optimizing the process of planning shipping routes and managing operational costs. The application of quantum computing technology offers the potential to solve complex problems that are difficult to solve with conventional methods. The purpose of this study is to evaluate the effectiveness of quantum computing in logistics and supply chain optimization by reducing delivery time and operational costs. This research method involves the use of secondary data from three major logistics companies and the application of quantum computing-based optimization algorithms to analyze their influence on operational efficiency. The results show that the application of quantum computing can reduce average delivery time by 10% and operational costs by up to 10%, with a significant increase in customer satisfaction. The conclusion of this study confirms that quantum computing technology has the potential to bring about major changes in the logistics and supply chain industry by improving efficiency and reducing operational costs. Further research is needed to develop more specific algorithms and test the application of these technologies on a larger scale.

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