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Explore a modular quantum computing framework in this conference talk that introduces the bicycle architecture based on high-rate, low-overhead quantum LDPC codes. Learn how this innovative approach constructs explicit fault-tolerant logical instruction sets for two specific bivariate bicycle codes with distances 12 and 18, while examining logical error rate estimations under circuit noise conditions. Discover the compilation strategy specifically adapted to bicycle architecture constraints that enables large-scale universal quantum circuit execution. Understand how this integrated approach demonstrates that logical circuits an order of magnitude larger can be implemented with the same number of physical qubits compared to surface code architectures. Gain insights into the potential for further improvements through advances in code constructions, circuit designs, and compilation techniques that could revolutionize quantum computing scalability and efficiency.
