Valter Uotila

Valter Uotila

Doctoral researcher in computer science (he/him)

University of Helsinki

Biography

I’m a doctoral researcher in computer science at the University of Helsinki. I started my doctoral studies in 2022. My research topics include studying quantum computing applications in data management and multi-model databases. Check the recent papers and posts for more details about my research interests!

Interests
  • Quantum computing and information
  • Mathematics
  • Databases
Education

  • MSc in Mathematics, 2022

    University of Helsinki

  • BSc in Mathematics, 2018

    University of Helsinki

Recent Posts

Studies on Solving Kakuro Puzzle with Grover's Algorithm
Introduction Classiq organized an interesting quantum coding competition in May and June 2022. The competition consisted of four problems: Kakuro, decomposing multi-control CNOT gate, Hamiltonian simulation and log-normal state preparation.
Valter Uotila
Jun 26, 2022 25 min read Classiq coding competition, Constrained optimization
Studies on Multi-controlled CNOT Decompositions
This blog post discusses my studies on Classiq’s coding competition problem on decomposing multi-controlled CNOT gates. I represent three different solutions. The first solution does not use ancilla qubits, the second solution utilizes them, and the third applies quantum machine learning to simulate the circuit.
Valter Uotila
Jun 24, 2022 18 min read Classiq coding competition
Research in Intersection of Quantum Computing And Databases
Welcome to my academic webpage! Since the biography in the beginning is good to keep short, I explain my academic interests and motivate my research deeper in this post. I started as a Ph.
Valter Uotila
Apr 18, 2022 3 min read Introduction

Recent publications

Winker, Tobias, Groppe, Sven, Uotila, Valter, Zhengtong, Yan, Lu, Jiaheng, Franz, Maja, Mauerer, Wolfgang (2023). Quantum Machine Learning: Foundation, New Techniques, and Opportunities for Database Research. In SIGMOD 2023.

Cite Code Tutorial website SIGMOD 2023 Tutorials

Valter Uotila, Lu, Jiaheng (2023). Quantum Annealing Method for Dynamic Virtual Machine and Task Allocation in Cloud Infrastructures from A Sustainability Perspective. In SMDB 2023.

Cite Code Video SMDB 2023

Valter Uotila (2022). Synergy between Quantum Computers and Databases. In PhD Workshop of the 48th International Conference on Very Large Databases (VLDB 2022).

Cite

Valter Uotila (2022). Stability Index of Real Varieties – Theorem of Bröcker and Scheiderer. Master’s thesis.

PDF

Valter Uotila, Jiaheng Lu (2021). A Formal Category Theoretical Framework for Multi-model Data Transformations. In Poly 2021.

Cite Video DOI arxiv

Valter Uotila, Lu, Jiaheng, Gawlick, Dieter, Liu, Zhen Hua, Das, Souripriya, Pogossiants, Gregory (2021). MultiCategory: Multi-Model Query Processing Meets Category Theory and Functional Programming. In VLDB 2021.

Cite Video DOI arxiv

Valter Uotila, Lu, Jiaheng, Gawlick, Dieter, Liu, Zhen Hua, Das, Souripriya, Pogossiants, Gregory (2021). Multi-model Query Processing Meets Category Theory and Functional Programming. In SEA-Data 2021.

PDF Cite Video SEAData 2021

Selected conference presentations and workshops

Check also the videos linked to the recent publications.

The International Workshop on Quantum Data Science and Management (QDSM 2023)
Sep 1, 2023 8:00 AM — 4:00 PM co-located with VLDB 2023 in Vancouver
Sven Groppe, Jiaheng Lu, Wolfgang Mauerer, Le Gruenwald
SQL Query Classification with A Quantum Natural Language Processing Approach
Abstract from BrainTalk’s website: This work proposes a quantum natural language processing-inspired approach for classifying SQL queries based on their execution times and cardinalities. Using parameterized quantum circuits and an iterative method for their optimization, we estimate query metrics by executing optimized circuits on a quantum computer or simulating them.
Apr 5, 2023 5:00 PM — 6:00 PM Oslo and online
Valter Uotila
Video
Quantum Circuit Learning Method for SQL Cardinality, Cost and Time Estimation
Structured Query Language (SQL) is the most used relational database query language in the world. In modern applications, data volume, variety, and connectivity have increased. Querying data should not become a bottleneck in data-intensive applications.
Nov 14, 2022 8:00 AM — Nov 15, 2022 4:00 PM Oslo
Valter Uotila
Finnish Poetry Generation Using Fine-tuned mBART
Nov 2, 2021 1:30 PM — 2:30 PM Oslo
Sardana Ivanova, Michele Boggia, Valter Uotila, Hannu Toivonen
Video

Academic work history

 
 
 
 
 
University of Helsinki
Doctoral researcher
University of Helsinki
Apr 2022 – Present Helsinki
 
 
 
 
 
University of Helsinki
Research assistant
University of Helsinki
May 2018 – Mar 2022 Helsinki
A research assistant in UDBMS research group studying applications of category theory for multi-model data management.

Slides

This section collects my presentations for those who want to return them later. ‘‘You don’t really understand it before you can explain it to others.’’

Some of the presentations are in HTML-format utilizing the great Reveal.js framework.

From the newest to the oldest:

Achievements

This section shows some recent academic-related achievements.

You can find more details about the solutions in this web page’s Slides section.

Popular Topics

category theory circuit rewriting CNOT decomposition computational creativity data centers data management data transformations databases diagrammatic reasoning document data estimating metrics for SQL Finnish poetry functional programming graph data Grover algorithm multi-model databases quantum computing quantum machine learning quantum natural language processing visionary

Contact

  • first.last@helsinki.fi
  • telegram @valterUo
  • Pietari Kalmin katu 5, Helsinki, 00560
  • Exactum Building