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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. 5 (2024)" : 5 Documents clear
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.

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