1 citations · 1 across the 5 of their papers we have counts for
6 papers
Finding Gaussian Structure in Bosonic States
Alvan Arulandu, Sitan Chen, Ziyun Chen +2
We study agnostic tomography of pure bosonic Gaussian states: given copies of an arbitrary -mode bosonic state , the goal is to output a pure Gaussian state whose infidelity…
Trading Imaginary Time for Randomness in Ground State Preparation
Alvan Arulandu, John M. Martyn, Isaac L. Chuang
Imaginary-time evolution (ITE) is a foundational method for ground state preparation on quantum computers. However, because ITE is non-unitary, existing implementations incur a sam…
Resolving the Edge of a Quantum Pyramid
Alvan Arulandu
Standing on the shoulders of giants, we resolve the quantum pyramids conjecture, confirming the globally information-optimal measurement for an ensemble of equiangular equiprobable…
Through the Grapevine: Vineyard Distance as a Measure of Topological Dissimilarity
Alvan Arulandu, Daniel Gottschalk, Thomas Payne +2
We introduce a new measure of distance between datasets, based on vineyards from topological data analysis, which we call the vineyard distance. Vineyard distance measures the exte…
Agnostic Product Mixed State Tomography via Robust Statistics
Alvan Arulandu, Ilias Diakonikolas, Daniel Kane +1
We study the complexity of two closely related learning problems, one quantum and one classical. In the quantum setting, we consider agnostic tomography for the natural class of pr…
Position: Model Collapse Does Not Mean What You Think
Rylan Schaeffer, Joshua Kazdan, Alvan Caleb Arulandu +1
The proliferation of AI-generated content online has fueled concerns over \emph{model collapse}, a degradation in future generative models' performance when trained on synthetic da…