quantum computing

See tutorial’s website for more details. I will update the paper and more information when they are available.

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.

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.

A short paper that outlines my research connecting quantum computing, databases and category theory.

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.

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.

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.