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Quantum Physics Seen from a Perspective of the Humanities

Yusuke Kaneko

Published Jan 1, 2017• 0 citations
OpenAlex

Abstract

Although written in Japanese, an overall picture of quantum physics is drawn, which would surely be useful for beginners as well as researchers of the humanities.

Related papers

Quantum Physics Seen from a Perspective of the Humanities

裕介 金子, 383, Yusuke KANEKO

•Mar 1, 2017•0 citations

Foreword

G. Grynberg, Alain Aspect, Claude Fabre +1 more

Atomic, molecular and optical physics is a field which, during the last few decades, has known spectacular developments in various directions, like nonlinear optics, laser cooling and trapping, quantum degenerate gases, quantum information. Atom–photon interactions play an essential role in these developments. This book presents an introduction to quantum optics which, I am sure, will provide an invaluable help to the students, researchers and engineers who are beginning to work in these fields and who want to become familiar with the basic concepts underlying electromagnetic interactions. Most books dealing with these subjects follow either a semi-classical approach, where the field is treated as a classical field interacting with quantum particles, or a full quantum approach where both systems are quantized. The first approach is often oversimplified and fails to describe correctly new situations that can now be investigated with the development of sophisticated experimental techniques. The second approach is often too difficult for beginners and lacks simple physical pictures, very useful for an initial understanding of a physical phenomenon. The advantage of this book is that it gives both approaches, starting with the first, illustrated by several simple examples, and introducing progressively the second, clearly showing why it is essential for the understanding of certain phenomena. The authors also clearly demonstrate, in the case of non-linear optics and laser cooling, how advantageous it may be to combine both approaches in the analysis of an experimental situation and how one can get from each point of view useful, complementary physical insights.

Cambridge University Press eBooks•Sep 2, 2010•0 citations

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Quantum‐Like Dynamics in Whole‐Brain Models of the Human Connectome

Gustavo Deco, Yonatan Sanz Perl, Natasha Greenstein +3 more

Emerging research provides evidence for quantum-like (QL) probability laws, including interference effects, in non-quantum physical systems using coupled oscillators. In principle, such systems could produce QL states able to support QL computation in biological tissue. In this perspective, we propose a new avenue of research, namely to investigate if this is true in the human brain. Intriguingly, the special topology of human brain anatomy could promote the rich dynamical repertoire in human cognition. As a proof-of-principle, we investigated this by constructing two whole-brain models with and without QL dynamics, where the QL regime is distinguished by a larger whole-brain spectral gap. In accordance with our hypothesis, we found that the QL regime provides a significantly better fit to large-scale human empirical neuroimaging data and exhibits a lower model-derived energy cost than the non-QL model. Furthermore, we constructed a whole-brain model measuring the Växjö Interference term, a measure of functional quantum-like interference showing a significant correlation with the size of the spectral gap. Overall, these results suggest that quantum-like whole-brain models may provide a useful description of large-scale resting-state brain dynamics, and we set out what would be required to test whether this description also carries explanatory value for brain function.

Advanced Science•Aug 18, 2026•2 citations

Towards autonomous quantum physics research using LLM agents with access to intelligent tools

Sören Arlt, Xuemei Gu, Mario Krenn

Artificial intelligence (AI) is used in numerous fields of science, yet the initial research questions and targets are still almost always provided by human researchers. AI-generated creative ideas in science are rare and often vague, so that it remains a human task to execute them. Automating idea generation and implementation in one coherent system would significantly shift the role of humans in the scientific process. Here we present AI-Mandel, an LLM agent that can generate and implement ideas in quantum physics. AI-Mandel formulates ideas from the literature and uses a domain-specific AI tool to turn them into concrete experiment designs that can readily be implemented in laboratories. The generated ideas by AI-Mandel are often scientifically interesting - for two of them we have already written independent scientific follow-up papers. The ideas include new variations of quantum teleportation, primitives of quantum networks in indefinite causal orders, and new concepts of geometric phases based on closed loops of quantum information transfer. AI-Mandel is a prototypical demonstration of an AI physicist that can generate and implement concrete, actionable ideas. Building such a system is not only useful to accelerate science, but it also reveals concrete open challenges on the path to human-level artificial scientists.

cs.AICross-listedarXiv:2511.11752•Nov 14, 2025•1 citation

Cultural Understanding of Quantum Physics Through a Historical and Pedagogical Reconstruction of Old Quantum Theory and Early Quantum Mechanics

Luisa Lovisetti, Marco Giliberti

Challenges in physics education•Jan 1, 2026•0 citations
Atomic, molecular and optical physics is a field which, during the last few decades, has known spectacular developments in various directions, like nonlinear optics, laser cooling and trapping, quantum degenerate gases, quantum information. Atom–photon interactions play an essential role in these developments. This book presents an introduction to quantum optics which, I am sure, will provide an invaluable help to the students, researchers and engineers who are beginning to work in these fields and who want to become familiar with the basic concepts underlying electromagnetic interactions. Most books dealing with these subjects follow either a semi-classical approach, where the field is treated as a classical field interacting with quantum particles, or a full quantum approach where both systems are quantized. The first approach is often oversimplified and fails to describe correctly new situations that can now be investigated with the development of sophisticated experimental techniques. The second approach is often too difficult for beginners and lacks simple physical pictures, very useful for an initial understanding of a physical phenomenon. The advantage of this book is that it gives both approaches, starting with the first, illustrated by several simple examples, and introducing progressively the second, clearly showing why it is essential for the understanding of certain phenomena. The authors also clearly demonstrate, in the case of non-linear optics and laser cooling, how advantageous it may be to combine both approaches in the analysis of an experimental situation and how one can get from each point of view useful, complementary physical insights.
Emerging research provides evidence for quantum-like (QL) probability laws, including interference effects, in non-quantum physical systems using coupled oscillators. In principle, such systems could produce QL states able to support QL computation in biological tissue. In this perspective, we propose a new avenue of research, namely to investigate if this is true in the human brain. Intriguingly, the special topology of human brain anatomy could promote the rich dynamical repertoire in human cognition. As a proof-of-principle, we investigated this by constructing two whole-brain models with and without QL dynamics, where the QL regime is distinguished by a larger whole-brain spectral gap. In accordance with our hypothesis, we found that the QL regime provides a significantly better fit to large-scale human empirical neuroimaging data and exhibits a lower model-derived energy cost than the non-QL model. Furthermore, we constructed a whole-brain model measuring the Växjö Interference term, a measure of functional quantum-like interference showing a significant correlation with the size of the spectral gap. Overall, these results suggest that quantum-like whole-brain models may provide a useful description of large-scale resting-state brain dynamics, and we set out what would be required to test whether this description also carries explanatory value for brain function.
Artificial intelligence (AI) is used in numerous fields of science, yet the initial research questions and targets are still almost always provided by human researchers. AI-generated creative ideas in science are rare and often vague, so that it remains a human task to execute them. Automating idea generation and implementation in one coherent system would significantly shift the role of humans in the scientific process. Here we present AI-Mandel, an LLM agent that can generate and implement ideas in quantum physics. AI-Mandel formulates ideas from the literature and uses a domain-specific AI tool to turn them into concrete experiment designs that can readily be implemented in laboratories. The generated ideas by AI-Mandel are often scientifically interesting - for two of them we have already written independent scientific follow-up papers. The ideas include new variations of quantum teleportation, primitives of quantum networks in indefinite causal orders, and new concepts of geometric phases based on closed loops of quantum information transfer. AI-Mandel is a prototypical demonstration of an AI physicist that can generate and implement concrete, actionable ideas. Building such a system is not only useful to accelerate science, but it also reveals concrete open challenges on the path to human-level artificial scientists.