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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 45 Documents
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Quantum Simulation of Complex Molecular Dynamics Using Quantum Annealing Sato, Haruka; Suzuki, Ren; Fujita, Miku
Journal of Tecnologia Quantica Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i5.1684

Abstract

Quantum simulation of complex molecular dynamics using quantum annealing has great potential to solve complex and complex molecular simulation problems. Quantum annealing, which optimizes the search for solutions in the energy space by utilizing quantum phenomena, offers advantages in speeding up the simulation process compared to classical methods. This study aims to explore the use of quantum annealing in complex molecular simulations, focusing on its effectiveness in finding molecular configurations with minimum energy. The method used involves simulation experiments using quantum annealing hardware and comparing the results with classical simulations. The results show that quantum annealing can improve computational time efficiency and produce more accurate solutions on large molecules with complex interactions. Although there are some limitations of current quantum hardware, the results of this study show the great potential for the use of quantum annealing in molecular dynamics simulations. Further research needs to be focused on improving quantum hardware and developing more advanced algorithms to support more complex molecular simulations.
Satellite-Based Quantum Key Distribution for Remote Secure Communication Martinez, Isabel; Cruz, Miguel de la; Gonzales, Samantha
Journal of Tecnologia Quantica Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i5.1685

Abstract

The background of this research focuses on the challenges of remote communication security in the ever-evolving digital era. Satellite-based Quantum Key Distribution (QKD) was chosen as a solution to address security concerns by utilizing the principles of quantum mechanics. The purpose of this study is to evaluate the effectiveness of satellite-based QKD in dealing with atmospheric disturbances and to identify factors that affect the performance of the system under varying weather conditions. The method used is a field experiment by transmitting quantum photons through satellites under various weather conditions and measuring the success rate of signal transmission. The results show that the influence of weather, especially rain and thick clouds, can reduce the success of signal transmission by up to 50%. However, in sunny weather conditions, the success rate reaches 95%. The conclusion of this study is that although satellite-based QKD promises secure communication solutions, atmospheric challenges are still a major obstacle, requiring further development in protocols and technologies to overcome such interference. This research makes an important contribution to the development of satellite-based QKD for safer global communication.
Development of Hybrid Quantum Algorithm for Investment Portfolio Optimization Malik, Fatima; Iqbal, Kiran; Ali, Zainab
Journal of Tecnologia Quantica Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i5.1686

Abstract

The background of this research focuses on the challenges of investment portfolio optimization, which often requires long computing time and high complexity, especially with many assets that must be analyzed. The use of quantum algorithms for investment optimization promises a faster and more efficient solution. The purpose of this study is to develop a hybrid quantum algorithm that can combine quantum and classical computing methods to improve portfolio optimization performance. The research method used is an experiment by testing a combination of quantum algorithms (such as variational quantum eigensolver, VQE) and classical algorithms to solve portfolio optimization problems using historical market data. The results show that the hybrid quantum algorithm successfully reduces computational time and improves accuracy in choosing the optimal asset combination, by minimizing risk and maximizing portfolio returns. The conclusion of this study is that the hybrid approach has great potential in overcoming the limitations that exist in pure quantum algorithms and can be effectively applied in investment portfolio optimization. Further research is needed to test these algorithms on a larger scale and with more dynamic market data.
Quantum Imaging for Medical and Industrial Applications Mutmainnah, Mutmainnah; Fahmi, Khazali; Pratiwi, Raditya Faradina; Kusumadjati, Adhi
Journal of Tecnologia Quantica Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i5.1696

Abstract

Quantum imaging is a quantum principle-based imaging technology that shows great potential in medical and industrial applications. This study was conducted to evaluate the advantages of quantum imaging compared to conventional technology in terms of energy efficiency, image resolution, and detection accuracy. The research design uses an experimental approach with testing on biological networks for medical applications and metal materials for industrial applications. The data was quantitatively analyzed to measure energy efficiency, resolution, and accuracy and compared with the results of conventional technologies. The results show that quantum imaging is able to improve energy efficiency by up to 35%, produce an image resolution of 200 nm, and achieve a detection accuracy of 95% in medical applications and 92% in industrial applications. In medical applications, this technology enables early diagnosis of diseases through the detection of molecular changes, while in industrial applications, it is capable of detecting microcracks that are difficult to see. This advantage shows that quantum imaging can be an innovative solution for modern imaging needs. The conclusion of this study is that quantum imaging has the potential to replace conventional imaging technology with advantages in efficiency, resolution, and accuracy. Further research is needed to overcome the limitations of large-scale implementation of this technology and develop more practical devices.
Quantum Computing to Design New More Effective Drugs Myint, Aung; Hlaing, Nandar; Oo, Zaw Min
Journal of Tecnologia Quantica Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i5.1698

Abstract

The development of quantum computing provides great opportunities in various fields, one of which is in drug design. This technology offers a way to model molecular interactions more accurately and efficiently compared to conventional methods. This research aims to explore the potential of quantum computing in designing new drugs that are more effective by accelerating and improving precision in molecular simulations. This study aims to identify and evaluate the ability of quantum computing to design more effective drug compounds, as well as to understand how quantum simulation can improve the efficiency of the drug development process. The research method used is quantum simulation to analyze the interaction between compounds and biological targets. The selected compounds were analyzed using quantum algorithms to calculate bond energy and molecular stability. The results of the simulation are then compared with conventional drug design methods. The results show that quantum computing can model molecular interactions with more precision and efficiency. Compounds selected using quantum methods showed higher effectiveness, with stronger binding energies and more stable biological interactions compared to drug designs using classical methods. Quantum computing shows great potential in the design of new, more effective drugs. Although technical challenges still exist, especially in terms of hardware and algorithms, this research shows that these technologies can speed up and improve the drug design process. Further research is needed to overcome these limitations and optimize the application of quantum computing in the pharmaceutical field.
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.

Page 3 of 5 | Total Record : 45

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