Physicists Just Calculated the Massive Amount of Information Stored in the Universe
Astronomy

Physicists Just Calculated the Massive Amount of Information Stored in the Universe

Physicists have used information theory and particle-based calculations to estimate the total amount of information contained within the observable universe.

By Aisha Ahmed
Published:
Email this Article
A theoretical model uses information theory to estimate cosmic bits, without proving information is a new state of matter. (CREDIT: The Brighter Side of News)

A new theoretical study suggests that the observable universe contains approximately 6 × 10⁸⁰ bits of information stored within its ordinary matter. By applying Claude Shannon’s foundational information theory to the fundamental particles that compose atoms, researchers have arrived at a cosmic tally that offers a fresh perspective on the information density of our physical reality.

The research, conducted by Melvin Vopson of the University of Portsmouth’s School of Mathematics and Physics and published in AIP Advances, does not aim to measure the absolute total of all information in existence. Instead, it provides a structured calculation based on the identification of specific elementary particles, such as electrons and the quarks that constitute protons and neutrons.

Dr. Melvin Vopson of the University of Portsmouth's School of Mathematics and Physics.
Dr. Melvin Vopson of the University of Portsmouth’s School of Mathematics and Physics. (CREDIT: University of Portsmouth)

Quantifying the building blocks of reality

At the heart of the analysis is the question of how much data is required to uniquely distinguish one particle type from another. Vopson utilizes Shannon entropy—a mathematical framework that quantifies information based on the probability of specific outcomes—to assign an average value of 1.509 bits to each elementary particle in his sample. This approach treats the inherent properties that define a particle, such as its mass, charge, and spin, as observable information.

“The information capacity of the universe has been a topic of debate for over half a century,” Vopson noted. “There have been various attempts to estimate the information content of the universe, but in this paper, I describe a unique approach that additionally postulates how much information could be compressed into a single elementary particle.”

To reach the final cosmic estimate, the model accounts for the estimated abundance of baryonic matter—primarily hydrogen and helium—across the observable universe. By calculating the total number of constituent particles (approximately 4 × 10⁸⁰) and multiplying this by the average information per particle, the researchers derived the staggering figure of 6 × 10⁸⁰ bits.

Claude Shannon, the pioneering mathematician and father of information theory.
Claude Shannon, the pioneering mathematician and father of information theory. (CREDIT: Alfred Eisenstaedt, courtesy of the Institute for Advanced Study)

Visualizing the digital scale

To contextualize such a massive number, the study offers a thought experiment involving digital storage. If this information were stored on standard one-terabyte hard drives, the cumulative hardware would create a cube roughly 163,000 light-years on each side—a structure significantly larger than the Milky Way galaxy. If each bit were instead packed into a tiny cube the size of a grain of sand, the resulting volume would span 90 million light-years, dwarfing our own galaxy by a factor of 900.

Vopson's analysis asks how much information would be needed, on average, to distinguish among selected particle types. It then extends that accounting across the ordinary matter in the observable universe.
Vopson’s analysis asks how much information would be needed, on average, to distinguish among selected particle types. It then extends that accounting across the ordinary matter in the observable universe. (CREDIT: Dungrela Publishing / AIP Advances)

Defining the limits of the model

The researchers emphasize that this calculation is a specific theoretical exercise rather than a definitive cosmic census. The model excludes neutrinos and antiparticles, and it does not account for the information that might be encoded in the motion, positioning, or complex interactions between particles. Furthermore, while the study employs rigorous mathematics, it does not confirm that information constitutes a new, fundamental state of matter.

Previous efforts, such as the 2002 analysis by physicist Seth Lloyd, have attempted to quantify the universe’s computational capacity by examining limits on information processing over time. Vopson’s work takes a different path, focusing on static identity rather than dynamic computation.

Packed together, drives measuring roughly 100 × 70 × 7 millimeters would fill a cube about 163,000 light-years on each side, wider than the Milky Way’s approximately 100,000-light-year stellar disk.
Packed together, drives measuring roughly 100 × 70 × 7 millimeters would fill a cube about 163,000 light-years on each side, wider than the Milky Way’s approximately 100,000-light-year stellar disk. (CREDIT: Dungrela Publishing)

While the link between information and thermodynamics has been bolstered by experiments—notably the 2012 verification of Landauer’s principle, which demonstrates that erasing information generates heat—a direct physical link between abstract data and the fabric of matter remains an open question. Vopson views this current estimate as a starting point, hoping that the numerical results will eventually invite experimental tests that could move these ideas from theoretical conjecture to empirical fact.

Recommended Resources

Fact Checked

This article has been fact checked for accuracy, with information verified against reputable sources. Learn more about us and our editorial process.

Last reviewed on .

Article history

  • Latest version

Reference(s)

  1. <https://pubs.aip.org/aip/adv/article/11/10/105317/661214/Estimation-of-the-information-contained-in-the>.
  2. Lloyd, Seth. “Computational Capacity of the Universe.” Physical Review Letters, vol. 88, no. 23, May 24, 2002 American Physical Society (APS), doi: 10.1103/PhysRevLett.88.237901. <https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.88.237901>.
  3. Shannon, C. E.. “A Mathematical Theory of Communication.” Bell System Technical Journal, vol. 27, no. 3, July 29, 2013, pp. 379-423. Institute of Electrical and Electronics Engineers (IEEE), doi: 10.1002/j.1538-7305.1948.tb01338.x. <https://doi.org/10.1002/j.1538-7305.1948.tb01338.x>.
  4. Bérut, Antoine. “Experimental verification of Landauer’s principle linking information and thermodynamics - Nature.”, vol. 483, no. 7388, pp. 187-189. Nature, doi: 10.1038/nature10872. <https://www.nature.com/articles/nature10872>.
  5. Vopson, Melvin M.. “Experimental protocol for testing the mass–energy–information equivalence principle.” AIP Advances, vol. 12, no. 3, March 4, 2022 AIP Publishing, doi: 10.1063/5.0087175. <https://doi.org/10.1063/5.0087175>.

Cite this page:

Ahmed, Aisha. “Physicists Just Calculated the Massive Amount of Information Stored in the Universe.” BioScience. BioScience ISSN 2521-5760, 10 October 2026. <https://www.bioscience.com.pk/en/subject/astronomy/scientists-calculate-how-much-information-exists-in-the-observable-universe>. Ahmed, A. (2026, October 10). “Physicists Just Calculated the Massive Amount of Information Stored in the Universe.” BioScience. ISSN 2521-5760. Retrieved October 10, 2026 from https://www.bioscience.com.pk/en/subject/astronomy/scientists-calculate-how-much-information-exists-in-the-observable-universe Ahmed, Aisha. “Physicists Just Calculated the Massive Amount of Information Stored in the Universe.” BioScience. ISSN 2521-5760. https://www.bioscience.com.pk/en/subject/astronomy/scientists-calculate-how-much-information-exists-in-the-observable-universe (accessed October 10, 2026).
End of the article