Opportunities and Challenges in the Area of Quantum Computing and Quantum Simulation

Bettina Schneider, Kech Benjamin, Wilfrid Azan +1 more

Yue Wu, Attila Balázs Nagy, Ács Szilvia +2 more

Global challenges of food security, population growth, climate change and resource scarcity require increasingly urgent solutions. The emergence of quantum computing opens new opportunities for future agriculture, especially within the framework of the agriculture 5.0 vision. The study demonstrates how quantum algorithms and quantum simulations can be applied in key areas such as energy transfer in photosynthesis, increasing the efficiency of gene editing, designing protein structures, optimizing fertilizer production, and adapting to climate change. Through these applications, quantum technology can not only complement classical approaches in agri-informatics, but also open new dimensions towards sustainable, data-driven and intelligent food production. The aim of the thesis is to establish a functional framework that systematically maps the opportunities and benefits of integrating quantum technology into agriculture.

Abhinav Tripathi, G. R. Mishra, Geetika Srivastava +2 more

Fuquan Zhang

With the study of quantum computing in the computer field in recent years, quantum computing and quantum algorithms have gradually been taken seriously by people in the industry.Whether it is the development of quantum computers or the release of quantum cloud platforms, or machine learning, quantum awareness, Quantum simulation and other aspects have provided some help.This article is about the role of quantum computing in the field of computer science, as well as opportunities and challenges.

Χελιώτης, Κίμων-Κωνσταντίνος Φ., Χελιώτης, Κίμων-Κωνσταντίνος Φ.

Jincheng Zhang

This paper investigates the application of quantum-enhanced geometric simulation to complex fluid flows, aiming to significantly improve accuracy and speed compared to traditional numerical methods. The core claim is to develop a novel quantum-based technique that utilizes quantum algorithms to represent fluid states and dynamics, leading to enhanced computational efficiency and precision. We explore the potential of leveraging quantum phenomena such as superposition and entanglement to address the inherent challenges of simulating fluid behavior, particularly those involving complex geometries and rapid changes. The paper presents a conceptual framework, outlines the key algorithmic steps, and discusses the challenges and opportunities inherent in this research area. The study emphasizes the transformative potential of quantum computing for fluid dynamics, paving the way for more accurate and efficient simulations of intricate flow phenomena.