Alexander B. Boyd

According to our database, Alexander B. Boyd authored at least 11 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

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

Gregory W. Wimsatt, Alexander B. Boyd, Paul M. Riechers, James P. Crutchfield

CoRR, 2020

Non-Markovian Momentum Computing: Universal and Efficient.

Kyle J. Ray, Gregory Wimsatt, Alexander B. Boyd, James P. Crutchfield

CoRR, 2020

Thermodynamic Machine Learning through Maximum Work Production.

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

CoRR, 2020

2019

Balancing Error and Dissipation in Highly-Reliable Computing.

Paul M. Riechers, Alexander B. Boyd, Gregory Wimsatt, James P. Crutchfield

CoRR, 2019

Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal Symmetries.

Gregory Wimsatt, Olli-Pentti Saira, Alexander B. Boyd, Matthew H. Matheny, Siyuan Han, Michael L. Roukes, James P. Crutchfield

CoRR, 2019

2018

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

Alexander B. Boyd, Ayoti Patra, C. Jarzynski, James P. Crutchfield

CoRR, 2018

2017

Above and Beyond the Landauer Bound: Thermodynamics of Modularity.

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

CoRR, 2017

2016

Transient Dissipation and Structural Costs of Physical Information Transduction.

Alexander B. Boyd, Dibyendu Mandal, Paul M. Riechers, James P. Crutchfield

CoRR, 2016

Leveraging Environmental Correlations: The Thermodynamics of Requisite Variety.

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

CoRR, 2016

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

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

CoRR, 2016

2015

Memoryless Thermodynamics? A Reply.

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

CoRR, 2015