Quantum computing architectures encompass the physical platforms, system designs, and software stacks that enable the implementation of quantum algorithms on practical hardware. Work in this area spans superconducting, silicon, ion-trap, and hybrid electronic-photonic chips, along with schemes for error correction, coherent transport, and Majorana-based topological protection. It also includes virtualization, transpilation frameworks, and specialized programming languages that map optimization and factoring problems onto quantum processors, as well as benchmarking and predictive modeling of device errors at utility scale.
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