Quantum Computation with Quantum LDPC Codes in Reconfigurable Atom Arrays
Institute for Pure & Applied Mathematics (IPAM) via YouTube
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Explore quantum computation with quantum LDPC codes in reconfigurable atom arrays in this 44-minute conference talk by Hengyun Harry Zhou from Harvard University. Delve into a hardware-efficient scheme for fault-tolerant quantum computing using high-rate qLDPC codes, compatible with recent experimental capabilities. Discover how the product structure of qLDPC codes enables non-local syndrome extraction through atom rearrangement, resulting in effectively constant overhead. Examine proof of fault tolerance, circuit-level simulations, and performance comparisons with surface codes. Learn how this approach outperforms surface codes with fewer physical qubits and enables quantum algorithms involving thousands of logical qubits using less than 100k physical qubits. Gain insights into low-overhead quantum computing with qLDPC codes at a practical scale, based on current experimental technologies.
Syllabus
Hengyun Harry Zhou - Quantum Computation with Quantum LDPC Codes in Reconfigurable Atom Arrays
Taught by
Institute for Pure & Applied Mathematics (IPAM)