Canonical Monte Carlo multispin cluster method
We present a new Canonical Multispin-flip Cluster Monte Carlo algorithm for Ising model
and describe efficient implementations for hybrid supercomputer. Our method takes …
and describe efficient implementations for hybrid supercomputer. Our method takes …
Protein Design by Integrating Machine Learning and Quantum-Encoded Optimization
The protein design problem involves finding polypeptide sequences folding into a given
three-dimensional structure. Its rigorous algorithmic solution is computationally demanding …
three-dimensional structure. Its rigorous algorithmic solution is computationally demanding …
Protein Design by Integrating Machine Learning with Quantum Annealing and Quantum-inspired Optimization
The protein design problem involves finding polypeptide sequences folding into a given
threedimensional structure. Its rigorous algorithmic solution is computationally demanding …
threedimensional structure. Its rigorous algorithmic solution is computationally demanding …
Key interaction patterns in proteins revealed by cluster expansion of the partition function
The native conformation of structured proteins is stabilized by a complex network of
interactions. We analyzed the elementary patterns that constitute such network and ranked …
interactions. We analyzed the elementary patterns that constitute such network and ranked …
[PDF][PDF] Is Evolution an Algorithm? Effects of local entropy in unsupervised learning and protein evolution
M Negri - 2022 - tesidottorato.depositolegale.it
In the present thesis we study artificial neural networks with the lens of statistical mechanics,
field that has proven very useful in understanding the structure of the solution space of …
field that has proven very useful in understanding the structure of the solution space of …