activity
20242026
collaborators

8 papers

cs.DB2026

SQL2Circuits: Estimating Cardinalities, Execution Times, and Costs for SQL Queries with Quantum Natural Language Processing

Valter Uotila

Recent advances in quantum computing have led to progress in exploring quantum applications across diverse fields, including databases and data management. This work presents a qua…

quant-ph2025

Opportunities and Challenges for Data Quality in the Era of Quantum Computing

Sven Groppe, Valter Uotila, Jinghua Groppe

In an era where data underpins decision-making across science, politics, and economics, ensuring high data quality is of paramount importance. Conventional computing algorithms for…

cs.AI2025

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

Cong Yu, Valter Uotila, Shilong Deng +5

Designing and optimizing task-specific quantum circuits are crucial to leverage the advantage of quantum computing. Recent large language model (LLM)-based quantum circuit generati…

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…

quant-ph2025

Quantum Information-Theoretical Size Bounds for Conjunctive Queries with Functional Dependencies

Valter Uotila, Jiaheng Lu

Deriving formulations to estimate worst-case size bounds for conjunctive queries under various constraints has been at the core of theoretical database research. If the problem has…