3 citations · 7 across the 11 of their papers we have counts for
6 papers · 1 filter
Tensor Network Lattice Boltzmann Method for Data-Compressed Fluid Simulations
Lukas Gross, Elie Mounzer, David M. Wawrzyniak +2
Resolving unsteady transport phenomena in geometrically complex domains is traditionally constrained by polynomial scaling of computational cost with spatial resolution. While meth…
A partition function framework for estimating logical error curves in stabilizer codes
Leon Wichette, Hans Hohenfeld, Elie Mounzer +1
Based on the mapping between stabilizer quantum error correcting codes and disordered statistical mechanics models, we define a ratio of partition functions that measures the succe…
Explaining Anomalies with Tensor Networks
Hans Hohenfeld, Marius Beuerle, Elie Mounzer
Tensor networks, a class of variational quantum many-body wave functions have attracted considerable research interest across many disciplines, including classical machine learning…
Iterative Linear Quadratic Regulator for Quantum Optimal Control
Dirk Heimann, Felix Wiebe, Tahereh Abad +4
Quantum optimal control for gate optimization aims to provide accurate, robust, and fast pulse sequences to achieve gate fidelities on quantum systems below the error correction th…
Exploration of Design Alternatives for Reducing Idle Time in Shor's Algorithm: A Study on Monolithic and Distributed Quantum Systems
Moritz Schmidt, Abhoy Kole, Leon Wichette +3
Shor's algorithm is one of the most prominent quantum algorithms, yet finding efficient implementations remains an active research challenge. While many approaches focus on low-lev…
Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning
Ivan Kankeu, Stefan Gerd Fritsch, Gunnar Schönhoff +3
Over the last decade, representation learning, which embeds complex information extracted from large amounts of data into dense vector spaces, has emerged as a key technique in mac…