Thermodynamic optimization of quantum algorithms: On-the-go erasure of qubit registers

• URL: http://arxiv.org/abs/2112.04402v2
• Date: Wed, 21 Dec 2022 20:06:21 GMT
• Title: Thermodynamic optimization of quantum algorithms: On-the-go erasure of qubit registers
• Authors: Florian Meier and L\'idia del Rio
• Abstract summary: "On-the-go erasure" of quantum registers that are no longer needed for a given algorithm. Freezing up auxiliary qubits as they stop being useful would facilitate the parallelization of computations. For the class of algorithms solving the Abelian hidden subgroup problem, we find optimal on-the-go erasure protocols.
• Score: 1.5229257192293197
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We consider two bottlenecks in quantum computing: limited memory size and noise caused by heat dissipation. Trying to optimize both, we investigate "on-the-go erasure" of quantum registers that are no longer needed for a given algorithm: freeing up auxiliary qubits as they stop being useful would facilitate the parallelization of computations. We study the minimal thermodynamic cost of erasure in these scenarios, applying results on the Landauer erasure of entangled quantum registers. For the class of algorithms solving the Abelian hidden subgroup problem, we find optimal on-the-go erasure protocols. We conclude that there is a trade-off: if we have enough partial information about a problem to build efficient on-the-go erasure, we can use it to instead simplify the algorithm, so that fewer qubits are needed to run the computation in the first place. We provide explicit protocols for these two approaches.

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