10 papers
Evaluating Quantum Kernel Methods for Track-Based Classification in High-Energy Physics
Emmanuel Billias, Nikos Chrisochoides
We present a systematic design for large-scale quantum kernel classification, demonstrated through a quantum support vector classifier (QSVC) for particle-track classification usin…
An Exploratory Evaluation of LLM-Assisted Rewriting of Moderate-Complexity Financial Sentences for DisCoCat-Based Sentiment Analysis
Brian Llinas, Nikos Chrisochoides
Quantum natural language processing (QNLP) provides a grammar-aware framework for text modeling, and Distributional Compositional Categorical (DisCoCat) is one of its theoretically…
Quantum circuit knitting using a weak-coupling approximation
John P. T. Stenger, Daniel Gunlycke, Nikos Chrisochoides
We present a method for performing distributed quantum computing with controlled approximations for circuits that are weakly coupled via a single qubit. Exact distributed quantum c…
ITAS: A Multi-Agent Architecture for LLM-Based Intelligent Tutoring
Iizalaarab Elhaimeur, Nikos Chrisochoides
Large language model tutors are easy to build in a notebook and hard to run in a real course. We describe ITAS (Intelligent Teaching Assistant System), a multi-agent tutoring syste…
From Prototype to Classroom: An Intelligent Tutoring System for Quantum Education
Iizalaarab Elhaimeur, Nikos Chrisochoides
Quantum computing instructors face a compounding problem: the concepts are counterintuitive, the mathematical formalism is dense, and qualified faculty are scarce outside a small n…
Latency and Cost of Multi-Agent Intelligent Tutoring at Scale
Iizalaarab Elhaimeur, Nikos Chrisochoides
Multi-agent LLM tutoring systems improve response quality through agent specialization, but each student query triggers several concurrent API calls whose latencies compound throug…
Distributed Quantum-Enhanced Optimization: A Topographical Preconditioning Approach for High-Dimensional Search
Dominik Soós, Marc Paterno, John Stenger +1
Optimization problems become fundamentally challenging as the number of variables increases. Because the volume of the search space grows exponentially, classical algorithms freque…
Solving Large-Scale Vehicle Routing Problems with Hybrid Quantum-Classical Decomposition
Andrew Maciejunes, John Stenger, Dan Gunlycke +1
We present a two-level decomposition strategy for solving the Vehicle Routing Problem (VRP) using the Quantum Approximate Optimization Algorithm. A Problem-Level Decomposition part…
A Hybrid Quantum-Classical Framework for Utility-Scale Edge Detection of Real-World Medical and Geospatial Data
Emmanuel Billias, David Calano, Nikos Chrisochoides
We present a hybrid quantum-classical framework designed to achieve utility-scale performance for Quantum Hadamard Edge Detection (QHED) on Noisy Intermediate-Scale Quantum (NISQ)…
Toward Personalizing Quantum Computing Education: An Evolutionary LLM-Powered Approach
Iizalaarab Elhaimeur, Nikos Chrisochoides
Quantum computing education faces significant challenges due to its complexity and the limitations of current tools; this paper introduces a novel Intelligent Teaching Assistant fo…