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As quantum processors scale beyond thousands of qubits, the focus shifts from basic circuit optimization to sophisticated compilers that integrate error correction directly into the compilation process. This survey outlines a full-stack architecture managing logical codes, physical hardware constraints, and real-time decoding to ensure reliable computation on fault-tolerant systems. Such encoding-aware designs are essential for maintaining calculation integrity as hardware complexity outpaces current control capabilities.

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Researchers Survey Compilation Designs for Reliable Quantum Computation

Quantum ZeitgeistSeptember 18, 20264 min read

With IBM now fielding a 1121-qubit processor and neutral atom arrays exceeding 6100 qubits, scaling quantum computers has begun to outpace our ability to reliably control them. Achieving dependable results demands sophisticated new compilers that manage errors across both software and hardware layers. This survey maps the emerging design principles for these fault-tolerant systems, moving beyond simple circuit optimisation towards encoding-aware computation.

Quantum compilers effectively translate complex algorithms into instructions for machines protected by quantum error correction. A thorough design for such compilers details organisation of existing methods across three layers: logical code management, physical implementation on diverse hardware, and real-time decoder integration. Building larger, more reliable quantum computers requires protecting information from errors; this process is akin to adding redundancy in data storage so that if one piece of information is corrupted, it can be reconstructed. The team from institutions including The Hong Kong…

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