Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Optimizing Fermionic Encodings for Both Hamiltonian and Hardware

Squid: Schools for Quantum Information Development via YouTube

Overview

Watch a 26-minute conference talk from TQC 2023 (Theory of Quantum Computation, Communication and Cryptography Conference) exploring a novel method for generating optimized fermionic encodings. Learn about a brute force search technique that maps Majorana monomials to Pauli operators while considering both target fermionic operators and hardware connectivity constraints. Discover how this approach searches across a broader class of encodings than previous methods, encompassing all known second quantized encodings that constitute algebra homomorphisms. Understand the mathematical characterization of this class and its translation into search criteria, along with the method's ability to provide optimality guarantees and find efficient representations of fermionic systems. Explore adaptations for handling translationally invariant systems with small unit cells, various applications with different hardware connectivities, and extensions for error-detecting fermionic encodings. Presented by Joel Klassen at the University of Aveiro, Portugal, as part of the leading annual conference for theoretical quantum information science.

Syllabus

Optimizing Fermionic Encodings for both Hamiltonian and Hardware - Joel Klassen | TQC 2023

Taught by

Squid: Schools for Quantum Information Development

Reviews

Start your review of Optimizing Fermionic Encodings for Both Hamiltonian and Hardware

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.