Best books for computational quantum mechanics?

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SUMMARY

To enhance computational physics knowledge for graduate studies, essential resources for learning computational quantum mechanics include texts on partial differential equations and linear algebra. Recommended materials include free online resources such as the ETH Zurich script on computational quantum physics. Additionally, computational chemistry texts are valuable for understanding the methodologies required in this field. The discussion emphasizes the importance of these foundational topics for effective learning in computational quantum mechanics.

PREREQUISITES
  • Partial Differential Equations
  • Linear Algebra
  • Computational Physics
  • Numerical Integration and Differentiation
NEXT STEPS
  • Explore the free online resource from ETH Zurich on computational quantum physics.
  • Study advanced texts on partial differential equations relevant to quantum mechanics.
  • Investigate computational chemistry literature for additional methodologies.
  • Practice coding simulations in MATLAB and Python specific to quantum mechanics problems.
USEFUL FOR

Graduate students in physics, computational physicists, and anyone seeking to deepen their understanding of computational quantum mechanics methodologies.

ggb123
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Hi,

I'm entering graduate school this fall and was looking to improve my computational physics knowledge. I have experience with MATLAB, Python, Java, and some C.

My question is which resources do you think are the best for learning the methods required for computational quantum mechanics? Specifically, I suppose these would include partial differential equations, linear algebra, etc... I have numerous good resources on numerical integration/differentiation, but my library is lacking in these areas.

Thanks!
 
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I don't know if its the best around but there are a number available free on the internet eg:
http://www.itp.phys.ethz.ch/education/fs10/cqp/script.pdf

Computational chemistry texts may also help.

Thanks
Bill
 
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