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20152024
most citedAbove and Beyond the Landauer Bound: Thermodynamics of Modularity

67 citations · 373 across the 18 of their papers we have counts for

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Showing cond-mat.stat-mechShow all

17 papers · 1 filter

cond-mat.stat-mech2024

Thermodynamic Overfitting and Generalization: Energetic Limits on Predictive Complexity

Alexander B. Boyd, James P. Crutchfield, Mile Gu +1

Efficiently harvesting thermodynamic resources requires a precise understanding of their structure. This becomes explicit through the lens of information engines -- thermodynamic e…

cond-mat.stat-mech2022

The Thermodynamic Uncertainty Theorem

Kyle J. Ray, Alexander B. Boyd, Giacomo Guarnieri +1

Thermodynamic uncertainty relations (TURs) express a fundamental tradeoff between the precision (inverse scaled variance) of any thermodynamic current by functionals of the average…

cond-mat.stat-mech2022

Trajectory Class Fluctuation Theorem

Gregory Wimsatt, Alexander B. Boyd, James P. Crutchfield

The Trajectory Class Fluctuation Theorem (TCFT) substantially strengthens the Second Law of Thermodynamics -- that, in point of fact, can be a rather weak bound on resource fluxes.…

cond-mat.stat-mech2021

Time Symmetries of Memory Determine Thermodynamic Efficiency

Alexander B. Boyd, Paul M. Riechers, Gregory W. Wimsatt +2

While Landauer's Principle sets a lower bound for the work required for a computation, that work is recoverable for efficient computations. However, practical physical computers, s…

cond-mat.stat-mech2020★ 14 cited

Refining Landauer's Stack: Balancing Error and Dissipation When Erasing Information

Gregory W. Wimsatt, Alexander B. Boyd, Paul M. Riechers +1

Nonequilibrium information thermodynamics determines the minimum energy dissipation to reliably erase memory under time-symmetric control protocols. We demonstrate that its bounds…

cond-mat.stat-mech2020★ 14 cited

Non-Markovian Momentum Computing: Universal and Efficient

Kyle J. Ray, Gregory W. Wimsatt, Alexander B. Boyd +1

All computation is physically embedded. Reflecting this, a growing body of results embraces rate equations as the underlying mechanics of thermodynamic computation and biological i…

cond-mat.stat-mech2020★ 3 cited

Thermodynamic Machine Learning through Maximum Work Production

A. B. Boyd, J. P. Crutchfield, M. Gu

Adaptive systems -- such as a biological organism gaining survival advantage, an autonomous robot executing a functional task, or a motor protein transporting intracellular nutrien…

cond-mat.stat-mech2019★ 18 cited

Balancing Error and Dissipation in Computing

P. M. Riechers, A. B. Boyd, G. W. Wimsatt +1

Modern digital electronics support remarkably reliable computing, especially given the challenge of controlling nanoscale logical components that interact in fluctuating environmen…

cond-mat.stat-mech2019★ 23 cited

Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal Symmetries

Gregory Wimsatt, Olli-Pentti Saira, Alexander B. Boyd +4

We experimentally demonstrate that highly structured distributions of work emerge during even the simple task of erasing a single bit. These are signatures of a refined suite of ti…

cond-mat.stat-mech2018★ 6 cited

Shortcuts to Thermodynamic Computing: The Cost of Fast and Faithful Erasure

A. B. Boyd, A. Patra, C. Jarzynski +1

Landauer's Principle states that the energy cost of information processing must exceed the product of the temperature and the change in Shannon entropy of the information-bearing d…

cond-mat.stat-mech2017★ 67 cited

Above and Beyond the Landauer Bound: Thermodynamics of Modularity

Alexander B. Boyd, Dibyendu Mandal, James P. Crutchfield

Information processing typically occurs via the composition of modular units, such as universal logic gates. The benefit of modular information processing, in contrast to globally…

cond-mat.stat-mech2016★ 28 cited

Transient Dissipation and Structural Costs of Physical Information Transduction

Alexander B. Boyd, Dibyendu Mandal, Paul M. Riechers +1

A central result that arose in applying information theory to the stochastic thermodynamics of nonlinear dynamical systems is the Information-Processing Second Law (IPSL): the phys…

cond-mat.stat-mech2016★ 28 cited

Leveraging Environmental Correlations: The Thermodynamics of Requisite Variety

Alexander B. Boyd, Dibyendu Mandal, James P. Crutchfield

Key to biological success, the requisite variety that confronts an adaptive organism is the set of detectable, accessible, and controllable states in its environment. We analyze it…

cond-mat.stat-mech2016★ 48 cited

Correlation-powered Information Engines and the Thermodynamics of Self-Correction

Alexander B. Boyd, Dibyendu Mandal, James P. Crutchfield

Information engines can use structured environments as a resource to generate work by randomizing ordered inputs and leveraging the increased Shannon entropy to transfer energy fro…

cond-mat.stat-mech2015★ 1 cited

Memoryless Thermodynamics? A Reply

Dibyendu Mandal, Alexander B. Boyd, James P. Crutchfield

We reply to arXiv:1508.00203 `Comment on "Identifying Functional Thermodynamics in Autonomous Maxwellian Ratchets" (arXiv:1507.01537v2)'.

cond-mat.stat-mech2015★ 67 cited

Identifying Functional Thermodynamics in Autonomous Maxwellian Ratchets

A. B. Boyd, D. Mandal, J. P. Crutchfield

We introduce a family of Maxwellian Demons for which correlations among information bearing degrees of freedom can be calculated exactly and in compact analytical form. This allows…

cond-mat.stat-mech2015★ 56 cited

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

Alexander B. Boyd, James P. Crutchfield

We introduce a deterministic chaotic system---the Szilard Map---that encapsulates the measurement, control, and erasure protocol by which Maxwellian Demons extract work from a heat…