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Landauer's principle

Landauer's principle is a physics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Landauer's principle rather than just read about it. In short: Landauer's principle is a physical principle pertaining to a lower theoretical limit of energy consumption of computation. It holds that an irreversible change in information stored in a computer, such as merging two computational paths, dissipates a minimum amount of heat to its surroundings.

Key takeaways

  • Landauer's principle belongs to physics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Landauer's principle to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Landauer's principle from memory before moving on to harder problems.

Reference excerpt

Landauer's principle is a physical principle pertaining to a lower theoretical limit of energy consumption of computation. It holds that an irreversible change in information stored in a computer, such as merging two computational paths, dissipates a minimum amount of heat to its surroundings. It is hypothesized that energy consumption below this lower bound would require the development of reversible computing. The principle was first proposed by Rolf Landauer in 1961.

Statement Landauer's principle states that the minimum energy needed to erase one bit of information is proportional to the temperature at which the system is operating. Specifically, the energy needed for this computational task is given by

E ≥ k B T ln ⁡ 2 , {\displaystyle E\geq k_{\text{B}}T\ln 2,}

where k B {\displaystyle k_{\text{B}}} is the Boltzmann constant and T {\displaystyle T} is the absolute temperature. At room temperature, the Landauer limit represents an energy of approximately 0.018 eV (2.9×10−21 J). As of 2012, modern computers use about a billion times as much energy per operation.

History Rolf Landauer first proposed the principle in 1961 while working at IBM. He justified and stated important limits to an earlier conjecture by John von Neumann. This refinement is sometimes called the Landauer bound, or Landauer limit. In 2008 and 2009, researchers showed that Landauer's principle can be derived from the second law of thermodynamics and the entropy change associated with information gain, developing the thermodynamics of quantum and classical feedback-controlled systems. In 2011, the principle was generalized to show that while information erasure requires an increase in entropy, this increase could theoretically occur at no energy cost. Instead, the cost can be taken in another conserved quantity, such as angular momentum. In a 2012 article published in Nature, a team of physicists from the École normale supérieure de Lyon, University of Augsburg and the University of Kaiserslautern described that for the first time they have measured the tiny amount of heat released when an individual bit of data is erased. In 2014, physical experiments tested Landauer's principle and confirmed its predictions. In 2016, researchers used a laser probe to measure the amount of energy dissipation that resulted when a nanomagnetic bit flipped from off to on. Flipping the bit required about 0.026 eV (4.2×10−21 J) at 300 K, which is just 44% above the Landauer minimum. A 2018 article published in Nature Physics features a Landauer erasure performed at cryogenic temperatures (T = 1 K) on an array of high-spin (S = 10) quantum molecular magnets. The array is made to act as a spin register where each nanomagnet encodes a single bit of information. The experiment has laid the foundations for the extension of the validity of the Landauer principle to the quantum realm. Owing to the fast dynamics and low "inertia" of the single spins used in the experiment, the researchers also showed how an erasure operation can be carried out at the lowest possible thermodynamic cost—that imposed by the Landauer principle—and at a high speed.

Challenges The principle is widely accepted as physical law, but it has been challenged for using circular reasoning and faulty assumptions. Others have defended the principle, and Sagawa and Ueda (2008) and Cao and Feito (2009) have shown that Landauer's principle is a consequence of the second law of thermodynamics and the entropy reduction associated with information gain. On the other hand, recent advances in non-equilibrium statistical physics have established that there is no a priori relationship between logical and thermodynamic reversibility. It is possible that a physical process is logically reversible but thermodynamically irreversible. It is also possible that a physical process is logically irreversible but thermodynamically reversible. At best, the benefits of implementing a computation with a logically reversible system are nuanced.

See also Quantum speed limit Bremermann's limit Bekenstein bound Kolmogorov complexity Entropy in thermodynamics and information theory Information theory Jarzynski equality Limits of computation Extended mind thesis Maxwell's demon Koomey's law No-deleting theorem

References

Further reading Prokopenko, Mikhail; Lizier, Joseph T. (2014), "Transfer entropy and transient limits of computation", Scientific Reports, 4 (1): 5394, Bibcode:2014NatSR...4.5394P, doi:10.1038/srep05394, PMC 4066251, PMID 24953547

External links

Public debate on the validity of Landauer's principle (conference Hot Topics in Physical Informatics, November 12, 2013) Introductory article on Landauer's principle and reversible computing Maroney, O.J.E. "Information Processing and Thermodynamic Entropy" The Stanford Encyclopedia of Philosophy. Eurekalert.org: "Magnetic memory and logic could achieve ultimate energy efficiency", July 1, 2011

Worked examples

Example 1 — a first encounter with Landauer's principle

Start with the simplest possible case. Write down what Landauer's principle claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Landauer's principle before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Landauer's principle ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Landauer's principle

In research
Landauer's principle appears in physics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Landauer's principle in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Landauer's principle is common in secondary-school and first-year university syllabi. It links to neighbouring topics Entropy and information, Limits of computation, Philosophy of thermal and statistical physics, so understanding it makes those chapters shorter.
In everyday life
Look for Landauer's principle outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Landauer's principle in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Landauer's principle means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Landauer's principle out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Landauer's principle in simple terms?

Landauer's principle is a physical principle pertaining to a lower theoretical limit of energy consumption of computation. It holds that an irreversible change in information stored in a computer, such as merging two computational paths, dissipates a minimum amount of heat to its surroundings.

Why does Landauer's principle matter?

Because it connects several physics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Landauer's principle?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Landauer's principle.

Tags

  • Entropy and information
  • Limits of computation
  • Philosophy of thermal and statistical physics
  • Principles
  • Thermodynamic entropy

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