4 papers
Tensor Network Simulation of the Heisenberg Model on Heavy-Hex Lattices
Paolo D'Alberto
We extend CppSim, a high-performance C++/HIP tensor network simulator, to the heavy-hex lattice geometry used in superconducting quantum processors. The heavy-hex graph -- a bipart…
GPU-First Heisenberg-Picture Tensor Network Dynamics for the 2D Transverse-Field Ising Model
Paolo D'Alberto
We present CppSim, a C++/GPU 2D Ising simulator for Heisenberg-picture tensor network time evolution on GPUs. The key computational contributions are: first, a zero-malloc GPU work…
Ablation, Statistical Inference, and Validation for KV-Cache Compression
Paolo D'Alberto, Ashish Siarasao, Elliott Delaye +1
This study systematically compares Turbo-Quant and SpectralQuant KV-cache compression, evaluating non-dominated schemes, including WHT rotation with Beta Lloyd-Max and QJL, through…
Statistical Inference and Quality Measures of KV Cache Quantisations Inspired by TurboQuant
Paolo D'Alberto
We analyse three KV cache quantization schemes under a fair bit budget: \textbf{KV} (scalar MSE baseline), \textbf{KQV} (WHT + MSE on ; WHT + MSE + QJL on ), and \textbf{QKQV…