Quick Bytes
-
Doctoral researcher in Quantum and Quantum-inspired Machine Learning with passion about exploring real-world applications
-
Experience as a Machine Learning Researcher and Data Analyst in the field of Particle Physics, Medical Imaging, Finance and Natural Language Processing
-
Passionate about exploring and contibuting to new machine learning use-cases
-
Enjoying giving educational Talks and spreading the word about Quantum
-
Amateur cook and food enthusiast
Work Experience
Superpowers
Check out my latest work
Colorful list of all my projects.
Tensor Networks for Machine Learning
Tensor Networks for Machine Learning pipeline similar to ones for neural networks. For smooth training of Tensor Networks for any ML task. Built using Quimb (for tensor network objects) and JAX (for optimization). Supports only 1D tensor networks for now.
Quantum Anomaly Detection in the latent space of proton collision events at the Large Hadron Collider
Designed, developed and sold animated UI components for developers.
Quantum Cooking
Quantum Cooking is a website that combines quantum algorithms and cooking recipes by presenting a recipe as a quantum circuit. Fun way of learning new recipes and learning about quantum computing.
Quantum Clustering tutorial in QIBO
Quantum Clustering for High-Energy physics application.
Autoencoders on FPGAs for real-time, unsupervised new physics detection
Comparative study of Variational and Standard Autoencoder for anomaly detection in high-energy physics. Quantization and pruning of machine learning models for FPGA deployment.
Learning is Life
Bridge the Gap: How Tensor Networks Connect Quantum and Classical Machine Learning
This talk explores Tensor Networks as quantum-inspired models that offer exciting opportunities at the intersection of Classical and Quantum Machine Learning. These networks are crucial for benchmarking quantum algorithms and understanding their performance against classical methods. This talk is presented at the #AI2FUTURE conference in Croatia in 2024.
Quantum Computing: Technology That Will Change the World
Fundamental concepts and ideas of Quantum Computing, basics of quantum physics, challenges and potentials of practical quantum computers that could be launched commercially today, as well as existing architectures of quantum computers and approaches to quantum computations today.
Basics of Quantum Computing
In this basic introduction to Quantum Computing, the underlying mathematical concepts will be presented together with quantum mechanical phenomena of interest such as Superposition and Entanglement in order to enable the understanding of basic quantum circuits or quantum algorithms.
Introduction to Tensor Networks
This talk will cover a foundational understanding of Tensor Networks, starting with the basics of tensor notation and tensor contractions. Simple forms of tensor networks are shown, and their connection to quantum circuits. Additionally, the talk gives an example of the application of Tensor Networks in Machine Learning.
The Role of Quantum Computing in Shaping the Future of Machine Learning
This talk will explore the role of Quantum Computing in shaping the future of Machine Learning. We will discuss the basics of Quantum Computing, its potential applications in Machine Learning, and the challenges for making this intersection useful for real-life scenarios. Talk is created for basic understanding and it is presented at #AI2FUTURE conference in Croatia in 2023.