Journal of Tecnologia Quantica
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.
Articles
45 Documents
<![CDATA[New Breakthroughs in Quantum Optics: Research Towards More Efficient Compressed Matter ]]>
<![CDATA[Nitin, Mahon]]>;
<![CDATA[Tandon, Meredith]]>;
<![CDATA[Jonathan, Bouyea]]>
<![CDATA[ Journal of Tecnologia Quantica Vol. 1 No. 3 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/quantica.v1i3.921
<![CDATA[In quantum physics, understanding compressed matter brought to extreme states, such as those found inside neutron stars or planetary cores, is the key to unlocking mysteries about the structure and behaviour of matter at a fundamental level. Quantum Optics, as a tool for manipulating and measuring particles on atomic and subatomic scales, offers new methods for investigating properties of compressed matter that are inaccessible through conventional techniques. This research aims to develop Quantum Optics techniques that are more efficient in characterizing and manipulating compressed materials to better understand materials' mechanical and electronic properties under extreme conditions. This research method combines laboratory experiments with sophisticated mathematical modelling techniques. The experiments involve using high-intensity lasers and ion traps to generate and measure compressed states of matter. Mathematical models, supported by computer simulations, predict experimental results and provide theoretical insight into observations. This research shows that using adapted Quantum Optics techniques can achieve greater control over compressed materials and measure their properties with unprecedented accuracy. This includes revealing electrons' behaviour under high pressure and extreme temperatures. This research concludes that innovative Quantum Optics techniques can provide new and significant insights into the properties of compressed matter. This research advances the field of Quantum Optics and expands our understanding of condensed matter physics and astrophysics. It also paves the way for developing new technologies based on the unique properties of compressed materials.]]>
<![CDATA[Sustainability Research in Quantum Optics: Defining the Role of Compressed Matter Physics ]]>
<![CDATA[Oscar, Schersclight]]>;
<![CDATA[Xavier, Embrechts]]>;
<![CDATA[Mark, Elladdadi]]>
<![CDATA[ Journal of Tecnologia Quantica Vol. 1 No. 3 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/quantica.v1i3.933
<![CDATA[Quantum Optics, as a field that studies the interaction between light and matter at the quantum level, has the potential to reveal new phenomena in the physics of compressed matter. Compressed matter, often encountered in extreme conditions like stellar or planetary cores, is key to understanding fundamental physical processes and advanced technological applications. This research aims to explore and define the role of compressed matter physics in the context of sustainability. By examining how materials behave under extreme pressure and temperature, we seek to identify ways Quantum Optics can facilitate the development of new environmentally friendly materials and energy-efficient technologies. The methodology used involves a combination of Quantum Optics experiments and theoretical modelling. Experiments include using high-intensity lasers and ion traps to create compressed conditions. In contrast, theoretical models are used to predict the behaviour of the material and its effects on energy efficiency and sustainability. Results from experiments and theoretical models show that Quantum Optics techniques can be effectively used to control and manipulate compressed matter, providing new data on its mechanical and electronic properties. These findings suggest that exploiting the physics of compressed matter can play an important role in developing sustainable technologies. The conclusion of this research is to strengthen the position of Quantum Optics as a vital tool in sustainability research. Through Quantum Optics, the physics of compressed matter offers an uncharted path for innovation in sustainable materials and technologies. Further research is recommended to explore the practical application of these findings in industrial and environmental contexts.]]>
<![CDATA[History of Computer Networks ]]>
<![CDATA[Sirait, Hasanuddin]]>
<![CDATA[ Journal of Tecnologia Quantica Vol. 1 No. 3 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/quantica.v1i3.1447
<![CDATA[With has each other connected so between computer can interact And send data. Data transmission is carried out To use spread information And data processing becomes something information . So that man as user information can take advantage of it in necessary jobs? speed And data accuracy and accuracy information. Various network models computer seen of type and benefits network the such as one to one, one to anywhere , many to one and many to many. Development system network computer This started since 1960s by? company electronics famous like ARPANET. Development network computer the will explained on discussion following .]]>
<![CDATA[Ultra-Sensitive Quantum Sensor for Detection of Pollutants in Water ]]>
<![CDATA[Fathoni, Mohammad]]>;
<![CDATA[Zaki, Amin]]>;
<![CDATA[Razak, Faisal]]>
<![CDATA[ Journal of Tecnologia Quantica Vol. 1 No. 3 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/quantica.v1i3.1677
<![CDATA[Water pollution by hazardous substances, such as heavy metals and industrial chemicals, is a global problem that threatens the sustainability of ecosystems and human health. Early detection of these pollutants is essential to prevent further damage. This study aims to evaluate the effectiveness of ultra-sensitive quantum sensors in detecting pollutants in water at very low concentrations. The method used in this study is laboratory and field experiments, by comparing the performance of quantum sensors and conventional sensors in detecting heavy metals and other chemicals in water. The results show that quantum sensors have a much higher sensitivity compared to conventional sensors, with the ability to detect contaminants up to lower concentrations. Quantum sensors can detect lead (Pb) at 0.1 ppb, while conventional sensors can only detect at 0.4 ppb. In conclusion, quantum sensor technology can provide a more efficient and sensitive solution for water quality monitoring, and it has great potential to be implemented in a wider range of environmental monitoring systems. Further research is needed to overcome cost constraints and improve the integration of these technologies in water monitoring in the field.]]>
<![CDATA[Quantum Teleportation via Optical Communication Channels ]]>
<![CDATA[Chai, Nong]]>;
<![CDATA[Pao, Chai]]>;
<![CDATA[Chai, Som]]>
<![CDATA[ Journal of Tecnologia Quantica Vol. 1 No. 3 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/quantica.v1i3.1678
<![CDATA[Quantum teleportation through optical communication channels is one of the promising technologies to create secure communication systems in the future. This study aims to evaluate the efficiency of quantum teleportation through various types of optical communication channels, such as standard optical fibers, low-loss optical fibers, and free photon-based communication lines. The research was conducted using a quantitative experimental method, measuring the success rate of teleportation based on channel length, channel type, and environmental disturbances. The results showed that low-loss optical fibers had the highest efficiency, with a success rate of 85% at distances of up to 50 km. The free photon-based path shows good performance at short distances, but decreases drastically at longer distances due to atmospheric disturbances. The study also found that photon loss and environmental disturbances are the main factors affecting entanglement stability, especially in channels more than 75 km long. The conclusion of this study confirms that low-loss optical fiber is the best choice to support quantum teleportation on a local to medium scale. The main challenges in the development of this technology are the reduction of photon loss and the management of environmental disturbances. Further research is needed to address these limitati]]>
<![CDATA[Quantum Neural Network for Medical Image Pattern Recognition ]]>
<![CDATA[Vann, Dara]]>;
<![CDATA[Rith, Vicheka]]>;
<![CDATA[Sothy, Chak]]>
<![CDATA[ Journal of Tecnologia Quantica Vol. 1 No. 4 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/quantica.v1i4.1679
<![CDATA[The background of this research focuses on the recognition of medical image patterns for disease detection using artificial intelligence technology. Although Convolutional Neural Networks (CNNs) have been widely used, the models are limited in terms of accuracy and efficiency in processing complex medical images. Quantum Neural Networks (QNNs) are considered as a potential solution to address this problem, by leveraging quantum computing to improve speed and accuracy. The purpose of this study is to explore the application of QNN in the recognition of medical image patterns, as well as to compare its performance with more conventional CNN models. The study used a dataset of medical images from cancer and heart disease, which were divided into training and testing data. QNN and CNN were tested on the same dataset to compare accuracy, speed, and efficiency. The results showed that QNN produced 92% accuracy in breast cancer detection, higher than CNN which only reached 88%. QNN is also more efficient in terms of processing speed, with lower use of computing resources. The conclusion of this study shows that QNN has great potential to be used in the recognition of medical image patterns, with significant advantages in terms of accuracy and efficiency. This research paves the way for the further development of QNN technology in medical applications and disease diagnosis.]]>
<![CDATA[Quantum Machine Learning for Early Detection of Chronic Diseases ]]>
<![CDATA[Silva, Pedro]]>;
<![CDATA[Costa, Bruna]]>;
<![CDATA[Lima, Rafaela]]>
<![CDATA[ Journal of Tecnologia Quantica Vol. 1 No. 4 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/quantica.v1i4.1680
<![CDATA[The background of this research focuses on t, Malaysiahe development of early detection methods for chronic diseases using Quantum Machine Learning (QML). Chronic diseases such as diabetes, hypertension, heart disease, and cancer are often detected too late, leading to preventable complications. This study aims to explore the potential of QML in improving the accuracy and speed of diagnosis by combining clinical data and medical images. The method used involves the application of quantum machine learning algorithms to analyze medical datasets that include numerical information and medical images such as CT scans and MRIs. The results show that QML can process data faster and more accurately than traditional machine learning methods. QML is also capable of detecting hidden patterns in data that cannot be found with conventional techniques. The conclusion of this study shows that Quantum Machine Learning offers an effective new approach for the early detection of chronic diseases. This technology can improve healthcare systems by providing faster and more accurate predictions, which can reduce mortality rates from chronic diseases. Further research is needed to expand QML applications and address current hardware limitations]]>
<![CDATA[Implementation of Quantum Error Correction Code on Qubit Superconducting to Improve Quantum Computing Stability ]]>
<![CDATA[Khan, Jamil]]>;
<![CDATA[Akhtar, Shazia]]>;
<![CDATA[Ali, Zara]]>
<![CDATA[ Journal of Tecnologia Quantica Vol. 1 No. 4 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/quantica.v1i4.1681
<![CDATA[The background of this research focuses on the stability of quantum computing, which is a major challenge in the development of quantum technology. Superconducting qubits are known to be prone to errors due to environmental disturbances and noise, which hinders computational accuracy. Quantum error correction code (QECC) emerged as a solution to solve the problem by detecting and correcting errors that occur in qubits. This study aims to evaluate the application of QECC to superconducting qubits in improving the stability and accuracy of quantum computing. The method used was a quantitative experiment by comparing the qubit error rate before and after the implementation of QECC, with measurements on bit-flip, phase-flip, and decoherence errors. The results showed that the application of QECC successfully reduced the bit-flip and phase-flip error rates from 15.3% to 5.2% and 12.4% to 4.8%, respectively, while the decoherence decreased from 25.6% to 9.3%. These findings suggest that QECC can significantly improve the stability of quantum computing on superconducting qubits. The conclusion of this study is that the implementation of QECC can be an important step in improving efficiency and accuracy in quantum computing systems, although there are still limitations related to scalability and resources required for deployment in larger systems]]>
<![CDATA[Development of Quantum Noise-Based Quantum Random Number Generator (QRNG) ]]>
<![CDATA[Xiang, Yang]]>;
<![CDATA[Jing, Wang]]>;
<![CDATA[Wei, Sun]]>
<![CDATA[ Journal of Tecnologia Quantica Vol. 1 No. 4 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/quantica.v1i4.1682
<![CDATA[The background of this research focuses on the development of a quantum noise-based Quantum Random Number Generator (QRNG) to generate random numbers that are safer and more efficient compared to conventional methods. Quantum fluctuation-based QRNG has the potential to generate more unpredictable numbers, improving security in cryptographic and simulation applications. The purpose of this research is to develop a QRNG system that can generate high-quality random numbers with various experimental settings and conditions. The method used is an experiment measuring quantum fluctuations through a photon detector to generate a random number based on quantum noise, followed by statistical testing to test the quality of the randomness. The results show that quantum noise-based QRNG is able to generate random numbers with better quality than conventional random number generators, with p-values that indicate very high random uncertainty. In addition, these QRNGs can operate at various photon intensities without compromising the random quality produced. The conclusion of this study is that quantum noise-based QRNG offers a safer and more efficient solution in generating random numbers for applications that require high randomness. Further research is needed to improve efficiency and overcome implementation obstacles in the real world.]]>
<![CDATA[Quantum Metrology for High-Precision Measurement of Fundamental Constants ]]>
<![CDATA[Tan, Jaden]]>;
<![CDATA[Tan, Marcus]]>;
<![CDATA[Chan, Rachel]]>
<![CDATA[ Journal of Tecnologia Quantica Vol. 1 No. 4 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/quantica.v1i4.1683
<![CDATA[High-precision measurements of fundamental constants have an important role in modern physics and technology. Uncertainty in measurements using classical methods is a major obstacle in improving the accuracy and validation of physical theories. Quantum metrology, which makes use of the phenomenon of quantum entanglement and superposition, offers a solution to overcome these limitations. This study aims to evaluate the effectiveness of quantum metrology in improving the measurement accuracy of fundamental constants, such as Planck's constant and Newton's gravity. The research was conducted using an experimental design with quantum sensing-based devices, such as quantum interferometers and ion traps. The data were analyzed to compare the level of measurement uncertainty between classical methods and quantum metrology. Case studies were conducted in a microgravity environment to test the reliability of this technology under extreme conditions. The results showed that quantum metrology significantly reduced measurement uncertainty to two orders of magnitude compared to classical methods. The technology has also proven to be effective in extreme conditions, providing flexibility for applications outside of the laboratory. The conclusion of the study confirms that quantum metrology is able to overcome the limitations of classical methods and has great potential to support the development of global measurement standards in the future. ]]>
