Social Laser Theory as a Natural Extension of Quantum-Like Modeling
- URL: http://arxiv.org/abs/2510.16012v1
- Date: Wed, 15 Oct 2025 07:24:05 GMT
- Title: Social Laser Theory as a Natural Extension of Quantum-Like Modeling
- Authors: Andrei Khrennikov,
- Abstract summary: Social Laser Theory (SLT) conceptualizes social systems as ensembles of social atoms capable of absorbing and emitting quantized units of social energy.<n>SLT provides a formal framework for understanding the amplification and coherence of social energy leading to abrupt phase-like transitions in collective behavior.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: This paper presents a comprehensive review of the Social Laser Theory (SLT) as a natural extension of the broader framework of Quantum-Like Modeling (QLM). While QLM applies the mathematical formalism of quantum theory . such as Hilbert space representations, interference, and non-commutative observables - to model context-dependent and non-classical phenomena in cognition, decision-making, and social behavior, SLT advances this approach by integrating concepts from quantum field theory. The theory conceptualizes social systems as ensembles of social atoms capable of absorbing and emitting quantized units of social energy. Under conditions analogous to population inversion in physical lasers, external informational stimuli (e.g., media signals or mobilizing rhetoric) can trigger coherence across the population, resulting in large-scale, synchronized collective actions such as protests or ideological shifts. SLT thus provides a formal framework for understanding the amplification and coherence of social energy leading to abrupt phase-like transitions in collective behavior. Beyond its metaphorical appeal, the theory proposes measurable quantities and predictive parameters that may support empirical diagnostics of sociopolitical dynamics. By bridging micro-level psychological processes with macro-level sociological phenomena, SLT extends QLM into the domain of complex social systems, offering a mathematically grounded paradigm for interpreting rapid transformations in contemporary societies.
Related papers
- Neural Synchrony Between Socially Interacting Language Models [52.74586779814636]
Large language models (LLMs) are widely accepted as powerful approximations of human behavior.<n>It remains controversial whether they can be meaningfully compared to human social minds.
arXiv Detail & Related papers (2026-02-19T20:33:54Z) - Quantum Simulations of Opinion Dynamics [7.140270321226249]
We develop quantum models of opinion dynamics, solving exactly and simulating on IBM Quantum hardware.<n>Results show how quantum effects can enhance understanding of consensus formation, polarization, and collective decision-making.<n>Findings pave the way for further exploration into quantum-enhanced social modeling.
arXiv Detail & Related papers (2025-12-03T13:18:29Z) - Quantum-like representation of neuronal networks' activity: modeling "mental entanglement" [0.0]
Quantum-like modeling (QLM) is intensively developed with applications in biology, cognition, psychology, and decision-making.<n>PCSFT is used to move from the classical oscillatory cognition'' of the neuronal networks to QLM for decision-making.<n>In this study, we addressed the most difficult problem within this construction: QLM for entanglement generation by classical networks.
arXiv Detail & Related papers (2025-09-17T19:10:19Z) - Nonclassical Driven-Dissipative Dynamics in Collective Quantum Optics [51.56484100374058]
We study ensembles of interacting quantum emitters coherently driven by a laser field and coupled to photonic structures.<n>We find that off-resonant virtual states may gain population through dissipation, redefining their role in open systems.<n>Our models address challenges like inhomogeneous broadening and decoherence, demonstrating the feasibility of harnessing cooperative light-matter effects for quantum technologies.
arXiv Detail & Related papers (2025-09-12T20:01:55Z) - Artificial intelligence for representing and characterizing quantum systems [49.29080693498154]
Efficient characterization of large-scale quantum systems is a central challenge in quantum science.<n>Recent advances in artificial intelligence (AI) have emerged as a powerful tool to address this challenge.<n>This review discusses how each of these AI paradigms contributes to two core tasks in quantum systems characterization.
arXiv Detail & Related papers (2025-09-05T08:41:24Z) - Computational Architects of Society: Quantum Machine Learning for Social Rule Genesis [0.0]
This study proposes a theoretical and computational framework that combines quantum mechanics with Generative AI to simulate the emergence and evolution of social norms.<n>Key findings show that quantum principles, when integrated with generative AI, enable the modeling of uncertainty, emergence, and interdependence in complex social systems.
arXiv Detail & Related papers (2025-06-04T02:40:53Z) - Emergence of human-like polarization among large language model agents [79.96817421756668]
We simulate a networked system involving thousands of large language model agents, discovering their social interactions, result in human-like polarization.<n>Similarities between humans and LLM agents raise concerns about their capacity to amplify societal polarization, but also hold the potential to serve as a valuable testbed for identifying plausible strategies to mitigate polarization and its consequences.
arXiv Detail & Related papers (2025-01-09T11:45:05Z) - Coupling quantum-like cognition with the neuronal networks within generalized probability theory [0.0]
We develop a quantum-like representation of networks of communicating neurons.<n>This representation is not based on standard quantum theory but on generalized probability theory.<n>This framework supports quantum-like modeling in medical diagnostics for neurological conditions such as epilepsy and depression.
arXiv Detail & Related papers (2024-10-29T13:09:35Z) - Approach to Toric Code Anyon Excitation, Indirect Effects of Kitaev Spin
in Local Social Opinion Models [0.0]
Recent research integrates quantum information theory concepts, such as Graph States, Stabilizer States, and Toric Codes.
These applications face challenges in complexity, interpretation, and empirical validation.
Despite its potential, the practical use of the Toric Code Hamiltonian in Opinion Dynamics requires further exploration and research.
arXiv Detail & Related papers (2023-12-02T20:25:42Z) - From Spin States to Socially Integrated Ising Models: Proposed
Applications of Graph States, Stabilizer States, Toric States to Opinion
Dynamics [0.0]
Recent research has incorporated concepts from quantum information theory into models of opinion dynamics.
The incorporation of these concepts allows for a more detailed analysis of the process of opinion formation and the dynamics of social networks.
arXiv Detail & Related papers (2023-12-01T18:19:43Z) - A Quantum-Classical Model of Brain Dynamics [62.997667081978825]
Mixed Weyl symbol is used to describe brain processes at the microscopic level.
Electromagnetic fields and phonon modes involved in the processes are treated either classically or semi-classically.
Zero-point quantum effects can be incorporated into numerical simulations by controlling the temperature of each field mode.
arXiv Detail & Related papers (2023-01-17T15:16:21Z) - Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs [77.88043871260466]
We show that one of today's largest language models lacks this kind of social intelligence out-of-the box.
We conclude that person-centric NLP approaches might be more effective towards neural Theory of Mind.
arXiv Detail & Related papers (2022-10-24T14:58:58Z) - Standard Model Physics and the Digital Quantum Revolution: Thoughts
about the Interface [68.8204255655161]
Advances in isolating, controlling and entangling quantum systems are transforming what was once a curious feature of quantum mechanics into a vehicle for disruptive scientific and technological progress.
From the perspective of three domain science theorists, this article compiles thoughts about the interface on entanglement, complexity, and quantum simulation.
arXiv Detail & Related papers (2021-07-10T06:12:06Z) - Enhancement of quantum correlations and geometric phase for a driven
bipartite quantum system in a structured environment [77.34726150561087]
We study the role of driving in an initial maximally entangled state evolving under a structured environment.
This knowledge can aid the search for physical setups that best retain quantum properties under dissipative dynamics.
arXiv Detail & Related papers (2021-03-18T21:11:37Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.