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Quantum Machine Learning
Measurement-based uncomputation of quantum circuits for modular arithmetic
arXiv
Authors: Alessandro Luongo, Antonio Michele Miti, Varun Narasimhachar, Adithya Sireesh
Year
2024
Paper ID
64869
Status
Preprint
Abstract Read
~2 min
Abstract Words
202
Citations
N/A
Abstract
Measurement-based uncomputation (MBU) is a technique used to perform probabilistic uncomputation of quantum circuits. We formalize this technique for the case of single-qubit registers, and we show applications to modular arithmetic. First, we present formal statements for several variations of quantum circuits performing non-modular addition: controlled addition, addition by a constant, and controlled addition by a constant. We do the same for subtraction and comparison circuits. This addresses gaps in the current literature, where some of these variants were previously unexplored. Then, we shift our attention to modular arithmetic, where again we present formal statements for modular addition, controlled modular addition, modular addition by a constant, and controlled modular addition by a constant, using different kinds of plain adders and combinations thereof. We introduce and prove a "MBU lemma" in the context of single-qubit registers, which we apply to all aforementioned modular arithmetic circuits. Using MBU, we reduce the Toffoli count and depth by 10\% to 15\% for modular adders based on the architecture of [VBE96], and by almost 25\% for modular adders based on the architecture of [Bea02]. Our results have the potential to improve other circuits for modular arithmetic, such as modular multiplication and modular exponentiation, and can find applications in quantum cryptanalysis.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- Measurement-based uncomputation (MBU) is a technique used to perform probabilistic uncomputation of quantum circuits.
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