Reducing Depth of Quantum Adder using Ling Structure

2023 IFIP/IEEE 31ST INTERNATIONAL CONFERENCE ON VERY LARGE SCALE INTEGRATION, VLSI-SOC(2023)

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摘要
Improving the performance of quantum adder is an important technical challenge with major impact on the implementation of efficient, large-scale quantum computing. Continuing along this research direction, we propose a novel parallel-prefix quantum adder based on Ling expansion. We systematically explored classical structures for parallel-prefix adders assessing their suitability to be realized in quantum domain. Furthermore, Ling adder enforces Logical OR and large fan-out, which require innovative solutions. We addressed these challenges to realize the quantum Ling adder, which results in a T-depth of only O(logn/2). This represents a substantial improvement over the previous quantum adders based on parallel prefix structure, which require O(log n) T-depth. We present extensive theoretical and simulation-based studies to establish our claims.
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关键词
Quantum Computing,Quantum Arithmetic,T-depth Optimization,Carry-lookahead Adder,Ling Adder
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