133 citations · 251 across the 9 of their papers we have counts for
9 papers
Folding lattice proteins confined on minimal grids using a quantum-inspired encoding
Anders Irbäck, Lucas Knuthson, Sandipan Mohanty
Steric clashes pose a challenge when exploring dense protein systems using conventional explicit-chain methods. A minimal example is a single lattice protein confined on a minimal…
Designing lattice proteins with variational quantum algorithms
Hanna Linn, Lucas Knuthson, Anders Irbäck +3
Quantum heuristics have shown promise in solving various optimization problems, including lattice protein folding. Equally relevant is the inverse problem, protein design, where on…
Using quantum annealing to design lattice proteins
Anders Irbäck, Lucas Knuthson, Sandipan Mohanty +1
Quantum annealing has shown promise for finding solutions to difficult optimization problems, including protein folding. Recently, we used the D-Wave Advantage quantum annealer to…
Folding lattice proteins with quantum annealing
Anders Irbäck, Lucas Knuthson, Sandipan Mohanty +1
Quantum annealing is a promising approach for obtaining good approximate solutions to difficult optimization problems. Folding a protein sequence into its minimum-energy structure…
Markov modeling of peptide folding in the presence of protein crowders
Daniel Nilsson, Sandipan Mohanty, Anders Irbäck
We use Markov state models (MSMs) to analyze the dynamics of a -hairpin-forming peptide in Monte Carlo (MC) simulations with interacting protein crowders, for two different type…
The Mont-Blanc Project: First Phase Successfully Finished
Momme Allalen, David Brayford, Daniele Tafani +6
Running from October 2011 to June 2015, the aim of the European project Mont-Blanc has been to develop an approach to Exascale computing based on embedded power-efficient technolog…