Landauer's principle, first argued in 1961 by Rolf Landauer of IBM, is a physical principle pertaining to the lower theoretical limit of energy consumption of a computation. It holds that "any logically irreversible manipulation of information, such as the erasure of a bit or the merging of two computation paths, must be accompanied by a corresponding entropy increase in non-information bearing degrees of freedom of the information processing apparatus or its environment". (Bennett 2003)
Landauer's principle asserts that there is a minimum possible amount of energy required to change one bit of information, known as the Landauer limit:
- kT ln 2,
At 25 °C (room temperature, or 298.15 K), the Landauer limit represents an energy of approximately 0.0178 eV, or 2.85 zJ. Theoretically, room‑temperature computer memory operating at the Landauer limit could be changed at a rate of one billion bits per second with only 2.85 trillionths of a watt of power being expended in the memory media. Modern computers use millions of times as much energy.
If no information is erased, computation may in principle be achieved which is thermodynamically reversible, and require no release of heat. This has led to considerable interest in the study of reversible computing.
Recent experimental studies give further evidence that Landauer's prediction is indeed true.
Landauer's principle can be understood to be a simple logical consequence of the second law of thermodynamics—which states that the entropy of an isolated system cannot decrease—together with the definition of thermodynamic temperature. For, if the number of possible logical states of a computation were to decrease as the computation proceeded forward (logical irreversibility), this would constitute a forbidden decrease of entropy, unless the number of possible physical states corresponding to each logical state were to simultaneously increase by at least a compensating amount, so that the total number of possible physical states was no smaller than originally (total entropy has not decreased).
Yet, an increase in the number of physical states corresponding to each logical state means that, for an observer who is keeping track of the logical state of the system but not the physical state (for example an "observer" consisting of the computer itself), the number of possible physical states has increased; in other words, entropy has increased from the point of view of this observer. The maximum entropy of a bounded physical system is finite. (If the holographic principle is correct, then physical systems with finite surface area have a finite maximum entropy; but regardless of the truth of the holographic principle, quantum field theory dictates that the entropy of systems with finite radius and energy is finite.) So, to avoid reaching this maximum over the course of an extended computation, entropy must eventually be expelled to an outside environment at some given temperature T, requiring that energy E = ST must be emitted into that environment if the amount of added entropy is S. For a computational operation in which 1 bit of logical information is lost, the amount of entropy generated is at least k ln 2, and so, the energy that must eventually be emitted to the environment is E ≥ kT ln 2.
This expression for the minimum energy dissipation from a logically irreversible binary operation was first suggested by John von Neumann, but it was first rigorously justified (and with important limits to its applicability stated) by Landauer. For this reason, it is sometimes referred to as being simply the Landauer bound or Landauer limit.
The principle is widely accepted as physical law; but in recent years it has been challenged, notably in Earman and Norton (1998), and subsequently in Shenker (2000) and Norton (2004, 2011), and defended by Bennett (2003) and Ladyman et al. (2007).
Also, there is theoretical work showing that there can be no energy cost to information erasure (instead, the cost can be taken in another conserved quantity like angular momentum). A point of this work is a broader principle regarding the fact that information erasure cannot happen without an increase in entropy, whether or not energy is expended.
In a 2012 article published in Nature, a team of physicists from the Ecole 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.
- Public debate on the validity of Landauer's principle (conference Hot Topics in Physical Informatics, November 12, 2013)
- Entropy in thermodynamics and information theory
- Information theory
- Jarzynski equality
- Limits to computation
- Bremermann's limit
- "Tikalon Blog by Dev Gualtieri". Tikalon.com. Retrieved 2013-05-05.
- "Nanomagnet memories approach low-power limit | bloomfield knoble". Bloomweb.com. Retrieved 2013-05-05.
- "Landauer Limit Demonstrated - IEEE Spectrum". Spectrum.ieee.org. Retrieved 2013-05-05.
- ^ Rolf Landauer: "Irreversibility and heat generation in the computing process," IBM Journal of Research and Development, vol. 5, pp. 183–191, 1961.
- ^ Notes on Landauer's principle, Reversible Computation and Maxwell's Demon by Charles H. Bennett. Studies in History and Philosophy of Modern Physics vol. 34 pp. 501–510 (2003).
- ^ Logic and Entropy Critique by Orly Shenker (2000)
- ^ Eaters of the Lotus Critique by John Norton (2004)
- ^ The Connection between * Logical and Thermodynamic Irreversibility Defense by Ladyman et al. (2007)
- ^ Waiting for Landauer Response by Norton (2011)
- ^ Joan Vaccaro and Stephen Barnett : Information Erasure Without an Energy Cost, Proc. R. Soc. A 8 June 2011 vol. 467 no. 2130 1770-1778 (2011)
- ^ Antoine Bérut et al.: Experimental verification of Landauer’s principle linking information and thermodynamics Nature vol 483, pp, 187-190 (2012)
- 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”, 1-Jul-2011