A quantum solver for PDEs is introduced via flexible matrix product operator representations with mid-circuit measurements and state-dependent norm correction to handle non-unitary dynamics.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
A Temporal U-Net with perceptual loss and a physics-informed parabolic bridge interpolates sparse fluid observations, cutting MAE to 0.015 from 0.085 while retaining high-frequency turbulent structures.
citing papers explorer
-
Tensor-Programmable Quantum Circuits for Solving Differential Equations
A quantum solver for PDEs is introduced via flexible matrix product operator representations with mid-circuit measurements and state-dependent norm correction to handle non-unitary dynamics.
-
Physics-Informed Temporal U-Net for High-Fidelity Fluid Interpolation
A Temporal U-Net with perceptual loss and a physics-informed parabolic bridge interpolates sparse fluid observations, cutting MAE to 0.015 from 0.085 while retaining high-frequency turbulent structures.