Journal of Tecnologia Quantica

Quantum Measurement Problems and Proposed Solutions

Cemil Kaya, Sevda Kara, Mohammad Ali — Mon, 09 Jun 2025 00:00:00 +0700

The problem of quantum measurements has become one of the most controversial topics in quantum physics. Various interpretations of the role of observers and measurement processes in the quantum world have been proposed, but there is no clear consensus yet. The study focuses on the various proposed solutions to quantum measurement problems, highlighting the theory of decoherence and Many Worlds as promising alternatives. The purpose of this study is to analyze the various proposed solutions to quantum measurement problems and explore the relevance of decoherence theory and Many Worlds in explaining measurements without directly involving observers. The method used in this study is a literature analysis of 30 leading publications that discuss the topic of quantum measurement problems and proposed solutions. The data collected included theoretical and experimental studies relevant to Copenhagen's interpretation, Many Worlds, and decoherence theory. The study found that Copenhagen's interpretation continues to dominate the literature, but approaches such as Many Worlds and decoherence are gaining more attention. Decoherence theory in particular offers a more adequate explanation for bridging the gap between the quantum world and the classical world without requiring the role of an observer in measurement. The study concludes that although many solutions have been proposed, decoherence theory provides a more cohesive and comprehensive alternative in addressing quantum measurement problems. Further research is needed to test the reliability of these theories in more controlled quantum experiments.

Quantum Biology: The Interaction of Quantum Mechanics in Biological Systems

Dorji Phuntsho, Pema Lhamo, Omar Ahmad — Mon, 09 Jun 2025 00:00:00 +0700

Research Background: Quantum Biology is a branch of science that studies the interaction between quantum mechanics and biological systems. Some early studies have shown that quantum phenomena affect the efficiency of biological processes, but understanding of their applications is still limited. Research Objectives: This study aims to investigate how quantum mechanics plays a role in biological processes, especially in photosynthesis and magnetic navigation in migratory birds. Research Methods: This research uses laboratory experiments with an interdisciplinary approach, combining quantum physics and molecular biology techniques. The samples used included plant culture cells and migratory birds, as well as data analysis using mathematical modeling to describe quantum phenomena in biological systems. Research Results: The results show that quantum phenomena, such as coherence and entanglement, play a role in improving the efficiency of photosynthesis and the ability of birds to navigate based on the Earth's magnetic field. The study also identified a quantum mechanism that accelerates metabolic processes in cells. Research Conclusions: This study provides strong evidence that quantum mechanics can directly affect biological systems. These findings open up opportunities for the development of quantum-based biotechnology, as well as provide new insights into understanding more efficient and coordinated biological processes.

Quantum Computing to Forecast Extreme Weather

Vicheka Rith, Dara Vann, Luis Santos — Mon, 09 Jun 2025 00:00:00 +0700

The background of this research focuses on the challenges in forecasting extreme weather that is increasingly frequent due to climate change. Conventional weather models still face limitations in terms of accuracy and computational time, especially in predicting extreme weather phenomena. The purpose of this study is to explore the potential of quantum computing in predicting extreme weather by improving prediction accuracy and accelerating computational processes. The research method used involves the development and testing of weather prediction models based on quantum algorithms on extreme weather phenomena such as tropical storms, heavy rains, and heat waves. The results show that the quantum model is able to improve prediction accuracy by up to 92% for tropical storms and accelerate the computational time from 48 hours to 5 hours. The conclusion of the study is that quantum computing offers a more efficient and accurate solution in forecasting extreme weather, with great potential for practical applications in early warning and mitigation of weather disasters.