14 citations · 20 across the 4 of their papers we have counts for
4 papers
PluriHopRAG: Exhaustive, Recall-Sensitive QA Through Corpus-Specific Document Structure Learning
Mykolas Sveistrys, Richard Kunert
Retrieval-Augmented Generation (RAG) has been used in question answering (QA) systems to improve performance when relevant information is in one (single-hop) or multiple (multi-hop…
Speeding up Quantum Annealing with Engineered Dephasing
Mykolas Sveistrys, Josias Langbehn, Raphaël Menu +3
Building on the insight that engineered noise, specifically, engineered dephasing can enhance the adiabaticity of controlled quantum dynamics, we investigate how a dephasing-genera…
A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization
Kaitlin Gili, Rohan S. Kumar, Mykolas Sveistrys +1
Recent work has demonstrated the utility of introducing non-linearity through repeat-until-success (RUS) sub-routines into quantum circuits for generative modeling. As a follow-up…
Introducing Non-Linear Activations into Quantum Generative Models
Kaitlin Gili, Mykolas Sveistrys, Chris Ballance
Due to the linearity of quantum mechanics, it remains a challenge to design quantum generative machine learning models that embed non-linear activations into the evolution of the s…