Alexander B. Boyd

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 10

Top Topics

Machine Learning

Environmental Protection

Top Venues

Publications

Gregory W. Wimsatt, Alexander B. Boyd, Paul M. Riechers, James P. Crutchfield
Refining Landauer's Stack: Balancing Error and Dissipation When Erasing Information. CoRR (2020)
Kyle J. Ray, Gregory Wimsatt, Alexander B. Boyd, James P. Crutchfield
Non-Markovian Momentum Computing: Universal and Efficient. CoRR (2020)
Alexander B. Boyd, James P. Crutchfield, Mile Gu
Thermodynamic Machine Learning through Maximum Work Production. CoRR (2020)
Gregory Wimsatt, Olli-Pentti Saira, Alexander B. Boyd, Matthew H. Matheny, Siyuan Han, Michael L. Roukes, James P. Crutchfield
Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal Symmetries. CoRR (2019)
Paul M. Riechers, Alexander B. Boyd, Gregory Wimsatt, James P. Crutchfield
Balancing Error and Dissipation in Highly-Reliable Computing. CoRR (2019)
Alexander B. Boyd, Ayoti Patra, C. Jarzynski, James P. Crutchfield
Shortcuts to Thermodynamic Computing: The Cost of Fast and Faithful Erasure. CoRR (2018)
Alexander B. Boyd, Dibyendu Mandal, James P. Crutchfield
Above and Beyond the Landauer Bound: Thermodynamics of Modularity. CoRR (2017)
Alexander B. Boyd, Dibyendu Mandal, Paul M. Riechers, James P. Crutchfield
Transient Dissipation and Structural Costs of Physical Information Transduction. CoRR (2016)
Alexander B. Boyd, Dibyendu Mandal, James P. Crutchfield
Correlation-powered Information Engines and the Thermodynamics of Self-Correction. CoRR (2016)
Alexander B. Boyd, Dibyendu Mandal, James P. Crutchfield
Leveraging Environmental Correlations: The Thermodynamics of Requisite Variety. CoRR (2016)
Dibyendu Mandal, Alexander B. Boyd, James P. Crutchfield
Memoryless Thermodynamics? A Reply. CoRR (2015)