MicroCloud Hologram Develops Universal Quantum Probability Theory for Diverse Applications

MicroCloud Hologram is researching a universal quantum probability theory to address the limitations of existing definitions when applied to complex decision-making scenarios involving interconnected factors and “non-commutative observables.” This theory aims to provide a consistent mathematical foundation for describing any measurement or event, bridging the gap between quantum measurement and decision-making. It seeks to be broadly applicable to both individual and group decisions, and initial results suggest improved accuracy in predicting choices in risk assessment experiments compared to classical models. The company envisions applications in psychology, economics, and social governance.

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SHENZHEN, China, Sept. 19, 2025MicroCloud Hologram Inc. (NASDAQ: HOLO), a technology service provider specializing in holographic solutions, is tackling a fundamental challenge at the intersection of quantum physics and cognitive science: defining quantum probability for complex, real-world decision-making scenarios. The company’s research aims to create a universal quantum probability theory applicable across diverse domains, potentially revolutionizing fields from psychology to economics, and even social governance.

The existing definition of quantum probability works well for clearly defined, measurable events. However, a significant hurdle arises when dealing with *composite* events – those involving multiple, interconnected factors, particularly when these factors are described by what physicists call “non-commutative observables.” This is where the traditional understanding of quantum probability falls short. The problem becomes acutely relevant when applying quantum mechanics to human behavior, where decisions are rarely based on simple, isolated factors but are influenced by a complex web of uncertainties and interconnected choices.

MicroCloud Hologram argues that existing quantum decision theory often relies on bespoke models tailored to specific situations. The company envisions a more rigorous and universal approach. “Quantum decision theory must evolve into a broadly applicable framework with the same mathematical rigor as quantum measurement theory,” says a statement from the company. The core of their approach lies in recognizing the inherent link between measurement and decision-making. A measurement, in the quantum sense, can be viewed as a decision; a definite measurement corresponds to a clear event, while an undefined measurement represents an uncertain event. This connection provides the foundation for a unified theory.

The proposed universal quantum probability theory seeks to provide a consistent mathematical foundation for describing *any* measurement or event, whether it’s a clear, testable scenario or a complex, uncertain one. It aims to seamlessly handle both basic and composite events, regardless of their association with commutative or non-commutative observables. This is a significant departure from traditional quantum probability definitions, and it offers the potential to unlock new insights into complex decision-making, particularly in situations where uncertainty and interconnected factors play a dominant role.

This ambitious theory aims for broad applicability. It must function effectively for both closed systems — the independent decisions of an individual — and open systems — the information exchanges within a group. It should be applicable to individual decision-makers and to entire social groups. Furthermore, the framework aims to be inclusive, incorporating classical decision theory as a special case where quantum probability naturally simplifies to classical probability when all observables are commutative. Critically, the theory should clearly delineate the boundaries of when quantum methods are necessary. When events exhibit clear commutativity and uncertainty can be readily quantified, classical methods suffice. However, when non-commutative observables or vaguely defined uncertainties are present, the quantum framework becomes essential.

Beyond descriptive modeling, MicroCloud Hologram emphasizes quantitative prediction. The goal is to simulate decision outcomes by developing equations that describe the evolution of decision states and mathematical mappings of observables. The company claims that early results are promising. For example, in risk assessment experiments, choice probabilities calculated using quantum probability are claimed to align more precisely with actual behavior compared to classical utility models, with significantly reduced error margins. In analyzing the evolution of group opinions, the theory aims to quantitatively predict critical junctures and trends in opinion shifts.

If validated, this could represent a significant advance. The quantitative predictive power could allow researchers not only to explain paradoxes that elude classical theories, but also to offer scientifically verifiable insights that could inform practical applications such as psychological interventions and policy development. The company anticipates expanding the application of the theory from psychological experiments to fields such as economic forecasting and social regulation, potentially driving the adoption of quantum methods across complex systems research.

About MicroCloud Hologram Inc.

MicroCloud is focused on providing holographic technology services. The company’s holographic technologies include LiDAR solutions, holographic LiDAR point cloud algorithms architecture design, holographic imaging solutions, holographic LiDAR sensor chip design and vehicle intelligent vision technology for ADAS systems. MicroCloud also has holographic digital twin technology services. The company plans to invest in technologies, including blockchain development, quantum computing technology development, quantum holography development, and the development of derivatives and technologies in artificial intelligence and augmented reality (AR).

Safe Harbor Statement

This press release contains forward-looking statements as defined by the Private Securities Litigation Reform Act of 1995. Forward-looking statements include statements concerning plans, objectives, goals, strategies, future events or performance, and underlying assumptions and other statements that are other than statements of historical facts. When the Company uses words such as “may,” “will,” “intend,” “should,” “believe,” “expect,” “anticipate,” “project,” “estimate,” or similar expressions that do not relate solely to historical matters, it is making forward-looking statements. Forward-looking statements are not guarantees of future performance and involve risks and uncertainties that may cause the actual results to differ materially from the Company’s expectations discussed in the forward-looking statements. These statements are subject to uncertainties and risks including, but not limited to, the following: the Company’s goals and strategies; the Company’s future business development; product and service demand and acceptance; changes in technology; economic conditions; reputation and brand; the impact of competition and pricing; government regulations; fluctuations in general economic; financial condition and results of operations; the expected growth of the holographic industry and business conditions in China and the international markets the Company plans to serve and assumptions underlying or related to any of the foregoing and other risks contained in reports filed by the Company with the Securities and Exchange Commission (“SEC”), including the Company’s most recently filed Annual Report on Form 10-K and current report on Form 6-K and its subsequent filings. For these reasons, among others, investors are cautioned not to place undue reliance upon any forward-looking statements in this press release. Additional factors are discussed in the Company’s filings with the SEC, which are available for review at www.sec.gov. The Company undertakes no obligation to publicly revise these forward-looking statements to reflect events or circumstances that arise after the date hereof.

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