# Quantum inspired algorithm: Tensor Networks

- Institution: CERN
- Department: CERN openlab summer student lecture programme
- Taught by: Francesco Di Marcantonio, Ema Puljak
- Year: 2024
- Language: English
- Subjects: Physics, Computer science
- Source: [CERN](https://videos.cern.ch/record/3013852)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

Abstract

This talk with cover a foundational understanding of tensor networks, starting with the basics of tensors and their contractions. Students will learn simple forms of tensor networks and their connection to quantum circuits. Additionally, the course gives an example of the application of tensor networks in machine learning. By the end of the course, participants will grasp the core concepts and practical uses of tensor networks.

Bio

Ema is a computer scientist pursuing PhD in physics at CERN and Universitat Autonoma de Barcelona, specializing in quantum and quantum-inspired algorithms for anomaly detection with applications in high-energy physics and medical imaging.

Francesco is a PhD student at CERN and University of the Basque Country. He studied at KTH and Politecnico di Torino and focuses on the simulation of Quantum Matter with Tensor Network Methods and other techniques related to Quantum Computation..

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## Lectures

1. [Quantum inspired algorithm: Tensor Networks](https://invisiblenetwork.ai/learn/cern/3013852/0d934ebb93f3), 48 min (CERN's player)