activity
20182026
most citedExploring entanglement and optimization within the Hamiltonian Variational Ansatz

235 citations · 783 across the 25 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

quant-ph2024

Classification of dynamical Lie algebras generated by spin interactions on undirected graphs

Efekan Kökcü, Roeland Wiersema, Alexander F. Kemper +1

We provide a classification of all dynamical Lie algebras generated by 2-local spin interactions on undirected graphs. Building on our previous work where we provided such a classi…

quant-ph2024

Scalable quantum dynamics compilation via quantum machine learning

Yuxuan Zhang, Roeland Wiersema, Juan Carrasquilla +2

Quantum dynamics compilation is an important task for improving quantum simulation efficiency: It aims to synthesize multi-qubit target dynamics into a circuit consisting of as few…

quant-ph2024★ 6 cited

Geometric Quantum Machine Learning with Horizontal Quantum Gates

Roeland Wiersema, Alexander F. Kemper, Bojko N. Bakalov +1

In the current framework of Geometric Quantum Machine Learning, the canonical method for constructing a variational ansatz that respects the symmetry of some group action is by for…

quant-ph2024★ 120 cited

Beyond-classical computation in quantum simulation

Andrew D. King, Alberto Nocera, Marek M. Rams +60

Quantum computers hold the promise of solving certain problems that lie beyond the reach of conventional computers. However, establishing this capability, especially for impactful…

quant-ph2024★ 4 cited

Geodesic Algorithm for Unitary Gate Design with Time-Independent Hamiltonians

Dylan Lewis, Roeland Wiersema, Juan Carrasquilla +1

Larger multi-qubit quantum gates allow shallower, more efficient quantum circuits, which could decrease the prohibitive effect of noise on algorithms for noisy intermediate-scale q…