6 papers · 1 filter
Efficient Treatment of Non-Linearity in Quantum Computational Fluid Dynamics Using Hybrid Tensor Networks
Pia Siegl, Nis-Luca van Hülst, Maximilian Mandelt Buxadé +2
Nonlinear terms present a fundamental challenge for quantum computational fluid dynamics, as their implementation on inherently linear quantum hardware typically requires resource-…
Quantum computation at the edge of chaos
Tomohiro Hashizume, Zhengjun Wang, Frank Schlawin +1
A key challenge in classical machine learning is to mitigate overparameterization by selecting sparse solutions. We translate this concept to the quantum domain, introducing quantu…
Symplectic Optimization on Bosonic Gaussian States
Christopher Willby, Tomohiro Hashizume, Jason Crain +1
Computing bosonic Gaussian ground states via variational optimization is challenging because the covariance matrices must satisfy the uncertainty principle, rendering constrained o…
Tensor-Programmable Quantum Circuits for Solving Differential Equations
Pia Siegl, Greta Sophie Reese, Tomohiro Hashizume +2
We present a quantum solver for partial differential equations based on a flexible matrix product operator representation. Utilizing mid-circuit measurements and a state-dependent…
Quantum Solvers: Predictive Aeroacoustic & Aerodynamic modeling
Nis-Luca van Hülst, Theofanis Panagos, Greta Sophie Reese +2
This technical report presents our winning contribution to the 2024 Airbus and BMW Group Quantum Computing Challenge under the category 'Quantum Solvers'. This submission addresses…
Dynamical quantum phase transitions on random networks
Tomohiro Hashizume, Felix Herbort, Joseph Tindall +1
We investigate two types of dynamical quantum phase transitions (DQPTs) in the transverse field Ising model on ensembles of ErdÅs-Rényi networks of size . These networks consi…