most citedQUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RL

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quant-ph2025

ZX-DB: A Graph Database for Quantum Circuit Simplification and Rewriting via the ZX-Calculus

Valter Uotila, Cong Yu, Bo Zhao

Quantum computing is an emerging computational paradigm with the potential to outperform classical computers in solving a variety of problems. To achieve this, quantum programs are…

quant-ph2025

Higher-Order Portfolio Optimization with Quantum Approximate Optimization Algorithm

Valter Uotila, Julia Ripatti, Bo Zhao

Portfolio optimization is one of the most studied optimization problems at the intersection of quantum computing and finance. In this work, we develop the first quantum formulation…

quant-ph2025

Agent-Q: Fine-Tuning Large Language Models for Quantum Circuit Generation and Optimization

Linus Jern, Valter Uotila, Cong Yu +1

Large language models (LLMs) have achieved remarkable outcomes in complex problems, including math, coding, and analyzing large amounts of scientific reports. Yet, few works have e…