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.
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Towards Near-Term Quantum Simulation of Materials
Squid: Schools for Quantum Information Development