Math suggestions for learning QM

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Discussion Overview

The discussion revolves around the mathematical topics necessary for learning quantum mechanics and quantum information theory. Participants share their thoughts on which areas of mathematics are most relevant and how they relate to understanding quantum concepts.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant suggests that a strong foundation in linear algebra, probability, and differential equations is essential for studying quantum mechanics, emphasizing the importance of understanding mathematical jargon.
  • Specific mathematical concepts mentioned include density matrices, eigenvalues, eigenvectors, and the spectral theorem, which are deemed important for grasping quantum mechanics.
  • Another participant shares their experience, noting that while they had a degree in mathematics, they learned group theory and Lie algebras later, suggesting that foundational knowledge can be built upon as one progresses in quantum mechanics.
  • There is a humorous exchange regarding the phrase "may the gradient of potential be against you," indicating a light-hearted approach to the discussion.
  • Participants express varying levels of familiarity with certain mathematical topics, with some indicating that they may not have encountered all the suggested areas during their studies.

Areas of Agreement / Disagreement

Participants generally agree on the importance of certain mathematical topics for understanding quantum mechanics, but there is no consensus on the necessity of all suggested areas, as some participants have different educational backgrounds and experiences.

Contextual Notes

Some participants highlight that their understanding of group theory and Lie algebras developed after initial studies in quantum mechanics, indicating that the learning process can vary significantly among individuals.

Who May Find This Useful

This discussion may be useful for students and educators in physics and mathematics, particularly those interested in the mathematical foundations of quantum mechanics and quantum information theory.

NegativeDept
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Someone asked me which math topics to study in order to learn quantum information theory. I thought it was a good question, so here's my answer. Warning: this is off the top of my head, so it probably needs additions and/or corrections.

Most of this advice applies to anyone doing quantum mechanics. If Q Info isn't your subject, you might want to focus more on calculus and PDEs and less on density matrices, entropy, and Markov processes.

I think the biggest problem with quantum mechanics is that almost every statement is either 0) ambiguous or 1) full of math jargon. So it's very important to know how to translate the math jargon. Here are some examples:
  • A finite-dimensional density matrix is a convex combination of rank-1 projection operators, each of which acts on the Hilbert space ##\mathbb{C}^N##.
  • The generator of time evolution is ##-\frac{\imath}{\hbar}\hat{H}(t)##, where the Hamiltonian ##\hat{H}## is a self-adjoint linear operator.
  • The set of all traceless ##N \times N## self-adjoint complex matrices forms a real Lie algebra with the commutator as its Lie bracket. This algebra is isomorphic to ##\mathfrak{su}(N)##.
  • The von Neumann entropy of a density matrix is the Shannon entropy of its eigenvalues.
The first step in QM is figuring out what the hell that stuff says. For example, a Hilbert space is an abstract vector space with a definition of inner product that satisfies certain rules for convergence of infinite series. ##\mathbb{C}^N## is a Hilbert space which can be used to represent state vectors for ##N##-level systems. For most practical purposes, I think of each vector in this space as a column of ##N## complex numbers. (So does MATLAB.)

A good start is to look for books/classes/websites with these words in them:
  • Linear algebra, vector space, inner product
  • Eigenvalues, eigenvectors, the spectral theorem
  • Random variable, probability space, probability distribution
  • Statistical physics, Shannon entropy, Markov process, density matrix
  • Multivariable linear ordinary differential equations (The finite-dimensional Schrödinger equation is a multivariable linear ODE.)
  • Partial differential equations, diffusion, Laplacian (The infinite-dimensional Schrödinger equation is closely related to diffusion PDEs.)
  • Group theory, Lie algebra
A huge amount of QM consists of manipulating matrices and matrix-like things. (Dirac notation suggests treating infinite-dimensional linear operators as if they were matrices, sort of.) So it's good to know lots of matrix tricks. My favorite "matrix cheat sheet" is available here.

If you're already good at matrix algebra, then a little bit of Lie group theory goes a long way in QM. I'm not an expert at it, but I know what Lie meant by "infinitesimal generator." It helps that my advisor is an expert, so he can correct my dumb mistakes before I publish them.

The next steps depend on exactly what topic you're studying. I learned stochastic calculus, which is important for my thesis. Most Q Info people probably don't know much of that, but they often know a lot more than me about logic circuits and binary algorithms. People who actually build qubits need to learn the specific physics of their design, e.g. Josephson junctions or quantum optics or crystal defects.

Good luck! Or, if you think there's no such thing as luck: may the gradient of potential be against you.
 
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NegativeDept said:
Good luck! Or, if you think there's no such thing as luck: may the gradient of potential be against you.

But F=-∇ϕ
 
atyy said:
But F=-∇ϕ

So if ##\nabla \Phi## is against you, then The Force must be with you. (rimshot)
 
NegativeDept said:
  • Linear algebra, vector space, inner product
  • Eigenvalues, eigenvectors, the spectral theorem
  • Random variable, probability space, probability distribution
  • Statistical physics, Shannon entropy, Markov process, density matrix
  • Multivariable linear ordinary differential equations (The finite-dimensional Schrödinger equation is a multivariable linear ODE.)
  • Partial differential equations, diffusion, Laplacian (The infinite-dimensional Schrödinger equation is closely related to diffusion PDEs.)
  • Group theory, Lie algebra

Gee mate I have a degree in math and even I didn't do group theory with Lie Algebra's and stuff - had to learn it later after reading some QM books - but did two courses on functional analysis and Hilbert Spaces which was a help.

My view is if you have most of the stuff above you are good to go - you can pick up the rest as you go.

Thanks
Bill
 
Last edited:
NegativeDept said:
So if ##\nabla \Phi## is against you, then The Force must be with you. (rimshot)

Brilliant!

Great intro to QM too.
 

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