10 citations · 28 across the 11 of their papers we have counts for
12 papers
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…
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…
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…
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…
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…
Left-Deep Join Order Selection with Higher-Order Unconstrained Binary Optimization on Quantum Computers
Valter Uotila
Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new research field where quantum computing is applied…
QCE'24 Tutorial: Quantum Annealing -- Emerging Exploration for Database Optimization
Nitin Nayak, Manuel Schönberger, Valter Uotila +4
Quantum annealing is a meta-heuristic approach tailored to solve combinatorial optimization problems with quantum annealers. In this tutorial, we provide a fundamental and comprehe…
Tensor Decompositions and Adiabatic Quantum Computing for Discovering Practical Matrix Multiplication Algorithms
Valter Uotila
Quantum computing and modern tensor-based computing have a strong connection, which is especially demonstrated by simulating quantum computations with tensor networks. The other di…
Gate Teleportation in Noisy Quantum Networks with the SquidASM Simulator
Valter Uotila
We implement the gate teleportation algorithm for teleporting arbitrary two-qubit Clifford gates and the Toffoli gate within the context of multi-node quantum networks, utilizing t…
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…
A Formal Category Theoretical Framework for Multi-model Data Transformations
Valter Uotila, Jiaheng Lu
Data integration and migration processes in polystores and multi-model database management systems highly benefit from data and schema transformations. Rigorous modeling of transfo…
MultiCategory: Multi-model Query Processing Meets Category Theory and Functional Programming
Valter Uotila, Jiaheng Lu, Dieter Gawlick +3
The variety of data is one of the important issues in the era of Big Data. The data are naturally organized in different formats and models, including structured data, semi-structu…