“In my thesis, I considered a toy system of 4 spin-\frac{1}{2} particles interacting via the Heisenberg Hamiltonian. Solving this system is not difficult so I was able to focus on fitting the two disparate parts – machine learning and Matrix Product States – together.
Success! My model solved for ground states with arbitrary precision.”
Taming wave functions with neural networks
“In my thesis, I considered a toy system of 4 spin-\frac{1}{2} particles interacting via the Heisenberg Hamiltonian. Solving this system is not difficult so I was able to focus on fitting the two disparate parts – machine learning and Matrix Product States – together.
Success! My model solved for ground states with arbitrary precision.”
https://quantumfrontiers.com/2017/08/02/taming-wave-functions-with-neural-networks/