22 citations · 24 across the 5 of their papers we have counts for
5 papers
Penalty-free quantum optimization applied to lattice protein folding
Leif Gellersen, Anders Irbäck, Lucas Knuthson +1
Identifying minimum-energy structures of lattice proteins is a challenging discrete optimization problem. Quantum approaches such as analog quantum annealing and the gate-based qua…
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…