31 citations · 65 across the 6 of their papers we have counts for
6 papers
Analog quantum simulation of bosonic and anyonic models with flux-driven transmons
Isak Lyngfelt, Jorge Fernández-Pendás, Göran Johansson +1
When quantum particles interact, many-body phenomena that are hard to simulate classically emerge. Quantum analog simulation offers an alternative in which the target system's dyna…
Symmetry-informed transferability of optimal parameters in the Quantum Approximate Optimization Algorithm
Isak Lyngfelt, Laura García-Álvarez
One of the main limitations of variational quantum algorithms is the classical optimization of the highly dimensional non-convex variational parameter landscape. To simplify this o…
Resource analysis of quantum algorithms for coarse-grained protein folding models
Hanna Linn, Isak Brundin, Laura García-Álvarez +1
Protein folding processes are a vital aspect of molecular biology that is hard to simulate with conventional computers. Quantum algorithms have been proven superior for certain pro…
Lecture notes on quantum computing
Anton Frisk Kockum, Ariadna Soro, Laura García-Álvarez +4
These are the lecture notes of the master's course "Quantum Computing", taught at Chalmers University of Technology every fall since 2020, with participation of students from RWTH…
Quantum Approximate Optimization Algorithm with Cat Qubits
Pontus Vikstål, Laura García-Álvarez, Shruti Puri +1
The Quantum Approximate Optimization Algorithm (QAOA) -- one of the leading algorithms for applications on intermediate-scale quantum processors -- is designed to provide approxima…
Entanglement of superconducting qubits via acceleration radiation
Laura García-Álvarez, Simone Felicetti, Enrique Rico +2
We show that simulated relativistic motion can generate entanglement between artificial atoms and protect them from spontaneous emission. We consider a pair of superconducting qubi…