The DYNALIFE interdisciplinary meeting will explore the role of quantum phenomena in the information processing, transfer of complex living systems, decision making and cognition as well as on methods and techniques for simulating biological informational phenomena.\nThe conference will feature a broad spectrum of topics at the intersection of quantum physics, biology, and information science. We invite submissions of new and original research on a variety of subjects, including but not limited to the following:\n• quantum transport and sensing\n• quantum effects in the brain, perception and cognition\n• role of quantum effects in the origins of life and complexity\n• quantum-to-classical transition in living organisms\n• quantum computing for molecular biology\n• quantum-like modelling and quantum bio inspired technologies\n• quantum decision making and cognition.\nThe conference aims to foster interdisciplinary collaboration among working groups and stimulate cross-field interactions to deepen our fundamental understanding of biological information and its role in the origin of life. Additionally, it will leverage cutting-edge biological insights to describe phenomena in cognition and decision-making and help to explore potential applications (e.g. medicine, technology).
Is there a role for fundamental quantum physics in biology or evolution? Quantum physics was invented about a century ago, but in recent years has been undergoing an epistemological exodus, with its ideas and methods expanding from physics into information and communication and associated technologies, but also, re-addressing fundamental questions of biology. This paper will give some background to explain these assertions, and will take up a particular case study showing how quantum mechanisms may be intimately involved in some key biological processes relating to molecular mechanisms of olfaction.
This paper explores the potential of algorithmic quantum simulation to revolutionize the study of biological systems. Biological systems exhibit intricate, non-linear interactions that are exceedingly challenging for classical computational methods. Quantum computers, with their unique ability to represent and manipulate quantum states, offer a paradigm shift in this domain. We propose a novel method leveraging quantum algorithms to simulate key biological processes, aiming to provide unprecedented levels of detail and understanding. The core claim centers on the development of a robust and efficient quantum simulation framework for biological systems, addressing limitations inherent in current classical approaches. This investigation will detail the algorithmic steps, proposed quantum circuit designs, and preliminary results demonstrating the feasibility of this approach. The focus will be on elucidating fundamental biological processes and providing valuable insights into their underlying mechanisms.