Studying Take module on Quantum Computing or Stochastic Mechanics?

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The discussion centers on choosing between a module in stochastic dynamics in statistical mechanics and one in quantum computing for a master's program. The stochastic dynamics course is highlighted for its broad range of applications, including astrophysics, biophysics, and machine learning, suggesting significant relevance in various fields. The participant expresses interest in stochastic mechanics, noting the potential to catch up on prerequisites through self-study. References to influential works, such as those by Chandrasekhar, underscore the academic value of stochastic mechanics, while the comparison to quantum computing remains less defined due to a lack of familiarity with that subject. Overall, the emphasis is on the practical and interdisciplinary applications of stochastic dynamics.
Fyj
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Hi. I was wondering if you could help me out a bit here.

I have a choice to take either a module on stochastic dynamics in statistical mechanics or quantum computing for my masters. Both seem really interesting so it’s a close tie between which one has more current/future applications.

The most stat mech I know is on an undergrad level, but since I have less modules this semester I think I can catch up to the pre requisites with some self reading.
 
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The stochastic dynamics course has the broadest set of applications, ranging from astrophysics to much of biophysics and even non-physics disciplines like machine learning.
 
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I do not know anything about quantum computing for comparison, but I think stochastic mechanics is interesting. As Crass_Oscillator said astrophysics, plasma physics, some biophysics demonstrates many applications of stochastic mechanics. Many papers by Chandrasekhar are particularly interesting.
 
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