activity
20222025
most citedOn the importance of data encoding in quantum Boltzmann methods

20 citations · 49 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2025

Fully Quantum Lattice Gas Automata Building Blocks for Computational Basis State Encodings

Călin A. Georgescu, Merel A. Schalkers, Matthias Möller

Lattice Gas Automata (LGA) is a classical method for simulating physical phenomena, including Computational Fluid Dynamics (CFD). Quantum LGA (QLGA) is the family of methods that i…

quant-ph2024★ 3 cited

qlbm -- A Quantum Lattice Boltzmann Software Framework

Călin A. Georgescu, Merel A. Schalkers, Matthias Möller

We present qlbm, a Python software package designed to facilitate the development, simulation, and analysis of Quantum Lattice Boltzmann Methods (QBMs). qlbm is a modular framework…

quant-ph2024

Overdispersion in gate tomography: Experiments and continuous, two-scale random walk model on the Bloch sphere

Wolfgang Nowak, Tim Brünnette, Merel Schalkers +1

Noisy intermediate-scale quantum computers (NISQ) are in their childhood, but showing high promise. One main concern for NISQ machines is their inherent noisiness, as the qubit sta…

physics.pop-ph2024★ 7 cited

Explaining Grover's algorithm with a colony of ants: a pedagogical model for making quantum technology comprehensible

Merel A Schalkers, Kamiel Dankers, Michael Wimmer +1

The rapid growth of quantum technologies requires an increasing number of physicists, computer scientists, and engineers who can work on these technologies. For educating these pro…

quant-ph2024★ 1 cited

Momentum exchange method for quantum Boltzmann methods

Merel A. Schalkers, Matthias Möller

The past years have seen a surge in quantum algorithms for computational fluid dynamics (CFD). These algorithms have in common that whilst promising a speed-up in the performance o…

quant-ph2023★ 20 cited

On the importance of data encoding in quantum Boltzmann methods

Merel A. Schalkers, Matthias Möller

In recent years, quantum Boltzmann methods have gained more and more interest as they might provide a viable path towards solving fluid dynamics problems on quantum computers once…

quant-ph2022★ 18 cited

Efficient and fail-safe quantum algorithm for the transport equation

Merel A. Schalkers, Matthias Möller

We present a scalable algorithm for solving the transport equation in two and three spatial dimensions for variable grid sizes and discrete velocities on a fault-tolerant universal…