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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…
First quantum machine learning applications on an on-site room-temperature quantum computer
Nils Herrmann, Mariam Akhtar, Daanish Arya +5
We demonstrate - for the first time - the application of a quantum machine learning (QML) algorithm on an on-site room-temperature quantum computer. A two-qubit quantum computer in…
Quantum utility -- definition and assessment of a practical quantum advantage
Nils Herrmann, Daanish Arya, Marcus W. Doherty +4
Several benchmarks have been proposed to holistically measure quantum computing performance. While some have focused on the end user's perspective (e.g., in application-oriented be…