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YouTube

Towards Near-Term Quantum Simulation of Materials

Squid: Schools for Quantum Information Development via YouTube

Overview

Watch a 28-minute conference talk from TQC 2023 (Theory of Quantum Computation, Communication and Cryptography Conference) exploring innovative approaches to quantum simulation of materials on near-term hardware. Learn about a groundbreaking quantum algorithm that significantly reduces computational costs for material simulations by introducing a novel fermionic encoding method. Discover how leveraging the locality of materials Hamiltonians in the Wannier basis creates quantum circuits with depth independent of system size, resulting in up to 6 orders of magnitude improvement in circuit depths for materials like Strontium Vanadate. Follow along as Joel Klassen from Squid (Schools for Quantum Information Development) discusses key concepts including active space truncation, single particle Hilbert space, fermionic mappings, custom swap networks, and the development of an optimized compiler for these simulations. The presentation, delivered at the University of Aveiro in Portugal, addresses critical challenges in quantum computing while demonstrating practical solutions for near-term quantum hardware implementation.

Syllabus

Introduction
About Facecraft
About material simulation
Project goals
Talk overview
Baseline estimate
Results
Design strategy
Active Space Truncation
Single Particle Hilbert Space
Truncation
Fermionic mappings
Custom swap networks
Optimal swap configuration
Building a compiler
Work
Questions
Swap Network protocol
Uncontrolled approximations

Taught by

Squid: Schools for Quantum Information Development

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