387 citations · 2.2k across the 41 of their papers we have counts for
5 papers · 1 filter
Variational Tensor Network Simulation of Gaussian Boson Sampling and Beyond
Jonas Vinther, Michael James Kastoryano
The continuous variable quantum computing platform constitutes a promising candidate for realizing quantum advantage, as exemplified in Gaussian Boson Sampling. While noise in the…
A little bit of self-correction
Michael J. Kastoryano, Lasse B. Kristensen, Chi-Fang Chen +1
We investigate the emergence of stable subspaces in the low-temperature quantum thermal dynamics of finite spin chains. Our analysis reveals the existence of effective decoherence-…
Coarse-To-Fine Tensor Trains for Compact Visual Representations
Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen +3
The ability to learn compact, high-quality, and easy-to-optimize representations for visual data is paramount to many applications such as novel view synthesis and 3D reconstructio…
Quantum generalizations of Glauber and Metropolis dynamics
András Gilyén, Chi-Fang Chen, Joao F. Doriguello +1
Classical Markov Chain Monte Carlo methods have been essential for simulating statistical physical systems and have proven well applicable to other systems with many degrees of fre…
LoQT: Low-Rank Adapters for Quantized Pretraining
Sebastian Loeschcke, Mads Toftrup, Michael J. Kastoryano +2
Despite advances using low-rank adapters and quantization, pretraining of large models on consumer hardware has not been possible without model sharding, offloading during training…