Initial-State Dependent Optimization of Controlled Gate Operations with Quantum Computer
Wonho Jang, Koji Terashi, Masahiko Saito, Christian W. Bauer, Benjamin, Nachman, Yutaro Iiyama, Ryunosuke Okubo, Ryu Sawada

TL;DR
This paper introduces AQCEL, a quantum circuit optimizer that reduces redundant controlled operations based on initial states, improving efficiency and fidelity of quantum circuits on near-term devices.
Contribution
The paper presents AQCEL, a novel optimizer that removes unnecessary controls from multi-controlled gates depending on initial states, even with entangled qubits, using polynomial resources.
Findings
AQCEL reduces gate count in quantum circuits for modeling physics phenomena.
AQCEL maintains high fidelity when approximating original circuits on noisy quantum hardware.
The method is broadly applicable to various quantum algorithms for circuit simplification.
Abstract
There is no unique way to encode a quantum algorithm into a quantum circuit. With limited qubit counts, connectivity, and coherence times, a quantum circuit optimization is essential to make the best use of near-term quantum devices. We introduce a new circuit optimizer called AQCEL, which aims to remove redundant controlled operations from controlled gates, depending on initial states of the circuit. Especially, the AQCEL can remove unnecessary qubit controls from multi-controlled gates in polynomial computational resources, even when all the relevant qubits are entangled, by identifying zero-amplitude computational basis states using a quantum computer. As a benchmark, the AQCEL is deployed on a quantum algorithm designed to model final state radiation in high energy physics. For this benchmark, we have demonstrated that the AQCEL-optimized circuit can produce equivalent final states…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum and electron transport phenomena
