DEMONS: MAXWELL S DEMON, SZILARD S ENGINE AND LANDAUER S ERASURE DISSIPATION

Similar documents
Demons: Maxwell demon; Szilard engine; and Landauer's erasure-dissipation

Response to Comment on Zero and negative energy dissipation at information-theoretic erasure

Zero and negative energy dissipation at information-theoretic erasure

Information entropy and thermal entropy: apples and oranges

BIRD S-EYE VIEW ON NOISE-BASED LOGIC

The physics of information: from Maxwell s demon to Landauer. Eric Lutz University of Erlangen-Nürnberg

Does Information Have Mass?

arxiv: v2 [quant-ph] 22 Jan 2018

Maxwell s Demon. Kirk T. McDonald Joseph Henry Laboratories, Princeton University, Princeton, NJ (October 3, 2004; updated September 20, 2016)

Thermal noise driven computing

Even if you're not burning books, destroying information generates heat.

04. Information and Maxwell's Demon. I. Dilemma for Information-Theoretic Exorcisms.

Electrical Maxwell Demon and Szilard Engine Utilizing Johnson Noise, Measurement, Logic and Control

Maxwell s Demon. Kirk T. McDonald Joseph Henry Laboratories, Princeton University, Princeton, NJ (October 3, 2004)

The (absence of a) relationship between thermodynamic and logical reversibility

Quantum heat engine using energy quantization in potential barrier

Thermal Noise Driven Heat Engines

ANALYSIS OF THE ATTENUATOR-ARTIFACT IN THE EXPERIMENTAL ATTACK OF GUNN-ALLISON-ABBOTT AGAINST THE KLJN SYSTEM

ON BROWNIAN COMPUTATION

(1) Department of Electrical Engineering, Texas A&M University, College Station, TX , USA;

Thermodynamic Computing. Forward Through Backwards Time by RocketBoom

Quantum Thermodynamics

Does a standalone, cold (low-thermal-noise), linear resistor exist without cooling?

Demon Dynamics: Deterministic Chaos, the Szilard Map, & the Intelligence of Thermodynamic Systems.

COMPLEX NOISE-BITS AND LARGE-SCALE INSTANTANEOUS PARALLEL OPERATIONS WITH LOW COMPLEXITY

Submitted for publication on October 23, Version 3, October 24,

Second law, entropy production, and reversibility in thermodynamics of information

Comparative analysis of non-equilibrium quantum Landauer bounds

versions 9/27/2015, 10/1/

arxiv: v4 [cond-mat.stat-mech] 3 Mar 2017

Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX , USA

Information and Physics Landauer Principle and Beyond

Notes on Landauer s principle, reversible computation, and Maxwell s Demon

Thermodynamics of computation

The important thing is not to stop questioning! Curiosity has its own reason for existing. (Albert Einstein) Noise-based logic

Facts and myths about zero-point thermal noise and Information entropy versus thermal entropy

Lognormal distribution of firing time and rate from a single neuron?

The thermodynamics of cellular computation

Curriculum Vitae of Sergio Ciliberto

Physics of switches. Luca Gammaitoni NiPS Laboratory

Maxwell's Demons and Quantum Heat Engines in Superconducting Circuits

arxiv:chao-dyn/ v1 17 Feb 1999

Generalized Kirchhoff-Law-Johnson- Noise (KLJN) secure key exchange system using arbitrary resistors

LECTURE 4: Information-powered refrigerators; quantum engines and refrigerators

It From Bit Or Bit From Us?

The End of the Thermodynamics of Computation: A No Go Result

Relating Maxwell s Demon and Quantitative Analysis of Information Leakage for Practical Imperative Programs

Thermodynamic of computing. Fisica dell Energia - a.a. 2015/2016

Thermodynamics of feedback controlled systems. Francisco J. Cao

When is information erasure necessary between successive thermodynamic cycles?

arxiv: v1 [cond-mat.stat-mech] 8 Jul 2013

Lecture 27: Entropy and Information Prof. WAN, Xin

PHYS 414 Problem Set 4: Demonic refrigerators and eternal sunshine

Thermodynamical cost of accuracy and stability of information processing

arxiv: v1 [cond-mat.stat-mech] 10 Feb 2010

On the relationship between entropy and information

Physics Nov Cooling by Expansion

Thermodynamic of computing. Fisica dell Energia - a.a. 2017/2018

Maxwell's Demon in Biochemical Signal Transduction

(Updated February 17, 2006) Laszlo B. Kish.

Lognormal distribution of firing time and rate from a single neuron?

Thermodynamics of Information Processing in Small Systems )

Thermodynamic Cost Due to Changing the Initial Distribution Over States

Information and thermodynamics: Experimental verification of Landauer s erasure principle

Two odd things about computation

arxiv: v2 [cond-mat.stat-mech] 18 Jun 2009

Two odd things about computation. Daniel Murfet University of Melbourne

Quantum thermodynamics

Beyond the Second Law of Thermodynamics

Single-atom demonstration of quantum Landauer principle

2.2 Classical circuit model of computation

Landauer s principle in the quantum domain

arxiv:quant-ph/ v1 21 Feb 2002

arxiv: v2 [cond-mat.stat-mech] 9 Jul 2012

arxiv: v1 [physics.class-ph] 14 Apr 2012

Quantum computation: a tutorial

Fluctuation theorems. Proseminar in theoretical physics Vincent Beaud ETH Zürich May 11th 2009

Critical analysis of the Bennett Riedel attack on the secure cryptographic key distributions via the Kirchhoff-law Johnson-noise scheme

Nonequilibrium Thermodynamics of Small Systems: Classical and Quantum Aspects. Massimiliano Esposito

Phase Transitions. µ a (P c (T ), T ) µ b (P c (T ), T ), (3) µ a (P, T c (P )) µ b (P, T c (P )). (4)

Photon steam engines. Work can be extracted from a single heat bath at the boundary between classical and quantum thermodynamics

Physics of switches. Luca Gammaitoni NiPS Laboratory

Colloquium: The physics of Maxwell s demon and information

Thermodynamics & Statistical Mechanics SCQF Level 9, U03272, PHY-3-ThermStat. Thursday 24th April, a.m p.m.

Information to energy conversion in an electronic Maxwell s demon and thermodynamics of measurements.

Quantum measurement theory and micro-macro consistency in nonequilibrium statistical mechanics

Hardwiring Maxwell s Demon Tobias Brandes (Institut für Theoretische Physik, TU Berlin)

SPECTRA FOR THE PRODUCT OF GAUSSIAN NOISES. Laszlo Bela Kish 1), Robert Mingesz 2), Zoltan Gingl 2), Claes-Goran Granqvist 3)

arxiv:quant-ph/ v1 4 Jul 2003

DRAFT. Revision April22, April 21, 04; March 29, 22, Eaters of the Lotus: Landauer s Principle. and the Return of Maxwell s Demon

Information Equation of State

MD Thermodynamics. Lecture 12 3/26/18. Harvard SEAS AP 275 Atomistic Modeling of Materials Boris Kozinsky

arxiv:quant-ph/ v1 12 Dec 1996

Title of communication, titles not fitting in one line will break automatically

Thermodynamics: Entropy Conclusion

Quantum-information thermodynamics

WHAT KIND OF NOISE GUARANTEES SECURITY

İlke Ercan, PhD Assistant Professor, Electrical & Electronics Eng. Dep. Boğaziçi University, İstanbul, Turkey

Title. Authors and Affiliations. Abstract. Introduction. Twisted Radio Waves and Twisted Thermodynamics

Confounding Causality Principles: comment on Rédei and san Pedro s Distinguishing Causality Principles

Transcription:

In: Proceedings of the first conference on Hot Topics in Physical Informatics (HoTPI, 2013 November). Paper is in press at International Journal of Modern Physics: Conference Series (2014). DEMONS: MAXWELL S DEMON, SZILARD S ENGINE AND LANDAUER S ERASURE DISSIPATION LASZLO B. KISH Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843-2128, USA laszlo.kish@ece.tamu.edu CLAES G. GRANQVIST Department of Engineering Sciences, The Ångström Laboratory, Uppsala University, P.O. Box 534, SE-75121 Uppsala, Sweden claes-goran.granqvist@angstrom.uu.se SUNIL P. KHATRI Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843-2128, USA sunilkhatri@tamu.edu HE WEN College of Electrical and Information Engineering, Hunan University, Changsha, China he_wen82@126.com Received ( June 2014) Revised (Day Month Year) This talk addressed the following questions in the public debate at HoTPI: (i) energy dissipation limits of switches, memories and control; (ii) whether reversible computers are possible, or does their concept violate thermodynamics; (iii) Szilard s engine, Maxwell s demon and Landauer s principle: corrections to their exposition in the literature; (iv) whether Landauer s erasure dissipation principle is valid, if the same energy dissipation holds for writing information, or if it is invalid; and (v) whether (non-secure) erasure of memories, or the writing of the same amount of information, dissipates most heat. Keywords: Energy requirement of control. In the subject of energy requirement for information processing (including erasure), and the related field of thermal demons (engines with single thermal bath utilizing measurement information), there is a large body of papers which miss some of the key aspects. Here we briefly comment on several of these issues. 1. Energy requirement for changing a single bit value Brillouin [1], Alicki [2] and Kish [3 5] have arrived at similar results which show, in independent ways, that the lower limit of energy requirement for changing a bit value in a binary device is given as 1

2 L.B. Kish, et al. #! kt ln 1 & $ % " ' (, (1) where k is Boltzmann s constant, T is temperature and ε is error probability of bit operation. Strictly speaking, Eq. 1 is valid only for observation times up to the correlation time of the stochastic thermal excitation (thermal noise) in the system. For longer observation time windows t w, Eq. (1) was generalized [4,5] to read t w $! kt ln 1 ' % & " # ( ), (2) where τ is time and the! " 0 limit is assumed. Figure 1 shows a double-well potential model of bit states and two-stage switches. A bit error is generated as the thermal noise reaches beyond the energy barrier. When the bit state is changed during information processing, the particle must be pushed over the barrier into the other well. The invested energy cannot be saved, because any attempt to do so will result in more energy dissipation than the original one as a consequence of the need of extra switches and control steps and/or timing [4,5]. Figure 1. Double-well potential model of bit states and two-stage switches. A bit error is generated when the thermal noise reaches beyond the energy barrier. 2. Brillouin s negentropy-of-information principle versus Landauer s principle Brillouin s negentropy principle of information [6], published in 1953, claims that in order to change a bit of information one has to dissipate an energy of at least! kt ln( 2). (3) This result agrees with Eq. (1) for! = 0.5, i.e., when the binary system has zero bits of information. Thus Eq. (3) is always valid, whereas Eqs. (1) and (2) pose more strict/physical lower limits. 2

Demons: Landauer's theorem, etc. 3 Landauer s principle [7], which was developed in steps after 1961, claims that an energy of at least! kt ln( 2) (4) must be dissipated in the memory in order to erase a bit of information. While this result looks formally identical to Brillouin s assertion above, Landauer's result is incorrect when the bit state does not change during erasure. We note that there is an extensive and valuable literature for example by Porod, Ferry, Norton and their coworkers [8 13] showing that Landauer s principle is unphysical, and we refer the reader to these works after a study of the present short note. 3. Is a recent experimental proof of Landauer s principle valid? Recent experiments by Bérut et al. [7] to prove Landauer s Theorem use advanced tools and are interesting, but the conceptual basis for this proof, and for its interpretation, show characteristic features of poor science. Here are a few examples: (i) What was the potential well? An optical field of focused laser light (an optical tweezer) was used in a fluid. This is a highly non-equilibrium situation, and a strongly driven system in steady state. Rigorously speaking, this system does not even have a temperature! And an equivalent temperature can be anything, even attaining "negative" values (as for population-inversion in lasers). (ii) Is relocating the particle between the two wells indeed a single-bit erasure? Why it is not the writing of single-bit information? Nothing would then change in the experiments and their results! (iii) The studied system is a single-bit memory with friction force (loss) during a change of the state, it is not damping of excess energy after the bit change is completed as in friction-free potential wells. What happens if one reduces the friction coefficient (viscosity) and forces the particle over the same path and with the same speed? No such test was done; neither was the distance between the two wells varied. One can easily imagine that friction losses would become even smaller than Landauer s energy limit. (iv) The energy dissipation of keeping up and modifying the potential barrier during the process, which is of the order of 10 20 kt, was neglected. It could be noted that Landauer committed a similar error in his famous analysis [7]. This neglected energy i.e., the modification of potential barriers, or control of gate potentials for MOSFETs is the dominant fundamental energy dissipation in today s computers [14]. 4. Missed control energy in classical and quantum demons 3

4 L.B. Kish, et al. Surprisingly, Landauer s Theorem has been put into seemingly inherent connection with thermodynamic demons such as Maxwell demons, Szilard engines and Quantum demons. We are unable to cite all of the vast literature on this topic, instead we refer to a few examples [15 17] that point clearly to the source of this error. Equations 1 and 2 make it obvious that whenever a single switching or decision operation takes place during the engine cycle, then energy exceeding kt ln(2) is dissipated during each of these operations. This is extremely important, because the energy the demon is supposed to produce is exactly this one (Szilard engine), or at least has a similar value (Maxwell demon). Scrutinizing one of the cited papers by Bennett [16], all or almost all operations of a single demon cycle involve such single-bit operations, which means that the control steps in themselves generate many times greater heat than the one given by the kt ln(2) limit. Words such as insert, observe, if, go to, attach, (letting to) expand, remove, transform, etc, signify such a minimum single-bit control operation in the mentioned paper [16]. Specific operations are exemplified below from [16], where L/R means left/right and M1 L3 are designations used by Bennett [16] (we added Italic typeface): M1. Insert partition [L] M2. Observe the particle s chamber [L] or [R] M3. If memory bit = R, go to R1 [R] M4. If memory bit = L, go to L1 [L] R1. Attach pulleys so right chamber can expand [R] R2. Expand, doing isothermal work W [R] R3. Remove pulleys [R] R4. Transform known memory bit from R to L [L] R5. Go to M1 [L] L1. Attach pulleys so left chamber can expand [L] L2. Expand, doing isothermal work W [L] L3. Remove pulleys [L] L4. Go to M1 [L] Even Szilard missed the crucial aspect of control energy in his famous paper [18], because he used a two-stage lever to control a gear. The control of this gear consumes all of the energy the Szilard engine was supposed to produce. Thus the Szilard-engine-puzzle about the Second Law and intelligent being is non-existent from the beginning. In hindsight, Szilard s error might be considered fortunate because it led to an expansion of the research field. In the case of Szilard s engine, it is possible to fix the mentioned flaw [5], but the question as to the role of an intelligent being remains obsolete. Finally, we note that Renner [17] and others claim that control energies can be saved by using a large number of parallel demons mechanically coupled to each other. This belief is incorrect since demons are fundamentally random so that they require independent control units and related energy dissipation. Conservation of control energy can be done in periodic engines, where this effect can be executed both in space (parallel-coupled engines) and time (resonators with high Q-factor) [19], but it is not possible for demons. 5. Lower limit of energy requirement for erasing a large memory 4

Demons: Landauer's theorem, etc. 5 Finally, we address the problem of non-secure bit erasure in computers. Do computers execute erasure when they discard information? The answer is no since, in practice, they do not reset the memory bits but just change the address of the boundary of the free part of memory as illustrated in Figure 2. The number of bits in the address scales as log 2 N, where N is the size of the whole memory, and hence (in accordance with Eq. 2) the energy dissipation is of the order of # E er = kt ln 1 t w & $ %! " ' ( log N. (5) 2 At fixed error rate and observation time window, the energy dissipation of erasure scales as E er! log 2 N, (6) which is a much more optimal situation than for the Landuer limit of kt ln(2) energy dissipation per bit. Thus real memories typically work in the sub-landauer regime during erasure, which again indicates that Landauer s principle is invalid. Figure 2. Simplified one-dimensional illustration of discarding information in an idealized computer memory. Green signifies space free for writing, and Red denotes occupied space. The address of the boundary of the free memory is moved along the arrow to discard information and increase the free-memory part. References 1. L. Brillouin. Science and Information Theory; Academic: New York, 1962. 2. R. Alicki. Stability versus reversibility in information processing. In special issue Hot Topics of Physics Informatics (HoTPI-2013). In these proceedings. 3. L.B. Kish, Moore s Law and the energy requirement of computing versus performance. IEE Proc. - Circ. Dev. Syst. 151 (2004) 190 194. 4. L.B. Kish, C.G. Granqvist. Energy requirement of control: Comments on Szilard s engine and Maxwell s demon. EPL 98 (2012) 68001. 5. L.B. Kish, C.G. Granqvist. Electrical Maxwell demon and Szilard engine utilizing Johnson noise, measurement, logic and control. PLoS ONE 7 (2012) e46800. 6. L. Brillouin. The negentropy principle of information. J. Appl. Phys. 24 (1953) 1152. 7. A. Bérut, A. Arakelyan, A. Petrosyan, S. Ciliberto, R. Dillenschneider, E. Lutz. Experimental verification of Landauer s principle linking information and thermodynamics. Nature 483 (2012) 187 189. 8. W. Porod. Energy requirements in communication Comment. Appl. Phys. Lett. 52 (1988) 2191 2191. 9. W. Porod, R.O. Grondin, D.K. Ferry. Dissipation in computation. Phys. Rev. Lett. 52 (1984) 232 235. 5

6 L.B. Kish, et al. 10. W. Porod, R.O. Grondin, D.K. Ferry, G. Porod. Dissipation in computation Reply. Phys. Rev. Lett. 52 (1984) 1206 1206. 11. J.D. Norton. Waiting for Landauer. Stud. Hist. Philos. Mod. Phys. 42 (2011) 184 198. 12. J.D. Norton, J.D. Eaters of the lotus: Landauer s principle and the return of Maxwell s demon. Stud. Hist. Philos. Mod. Phys. 36 (2005) 375 411. 13. J.D. Norton. The end of the thermodynamics of computation: A no go result. Philos. Sci. 80 (2013) 1182-1192. 14. L.B. Kish. End of Moore s law: Thermal (noise) death of integration in micro and nano electronics. Phys. Lett. A 305 (2002) 144 149. 15. Ch. Bennett, Demons, engines and the second law. Sci. Am. 257 (1987) 108 116. 16. C.H. Bennett. Notes on Landauer s principle, reversible computation, and Maxwell s demon. Studies Hist. Philos. Modern Phys. 34 (2003) 501 510. 17. R. Renner. Landauer s Principle revisited. Talk presented at Hot Topics of Physics Informatics (HoTPI-2013) at Hunan University, China, on November 12, 2013, unpublished. 18. L. Szilard. On the decrease of entropy in a thermodynamic system by the intervention of intelligent beings. Z. Phys. 53 (1929) 840. 19. L.B. Kish. Thermal noise engines. Chaos Solitons Fractals 44 (2011) 114 121. 6