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aiqbench takeQuantum Computing

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This research demonstrates a method to eliminate the typical compilation overhead when converting continuous quantum gates into discrete universal sets, achieving optimal efficiency for polynomial-sized circuits. By leveraging adaptivity, the approach ensures that arbitrary one- and two-qubit operations can be approximated without the standard logarithmic penalty in gate count. This advancement is significant for reducing resource requirements in near-term fault-tolerant quantum computing architectures.
Source coveringarXiv
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Quantum circuit compilation with constant overhead

arXiv1 min read

arXiv:2609.39092v1 Announce Type: new Abstract: Compiling a continuous gate set to a discrete universal gate set generally incurs an overhead. A circuit composed of $G$ arbitrary one- and two-qubit gates can be $\epsilon$-approximated by a sequence of gates from $\{H,T,\mathrm{CNOT}\}$ by replacing each original gate by a sequence of $O(\log(G/\epsilon))$ elementary gates. We show that this overhead can be avoided using adaptivity for polynomial-sized circuits with inverse-polynomial target error, which is optimal.

Abstract:Compiling a continuous gate set to a discrete universal gate set generally incurs an overhead. A circuit composed of $G$ arbitrary one- and two-qubit gates can be $\epsilon$-approximated by a sequence of gates from $\{H,T,\mathrm{CNOT}\}$ by replacing each original gate by a sequence of $O(\log(G/\epsilon))$ elementary gates. We show that this overhead can be avoided using adaptivity for polynomial-sized circuits with inverse-polynomial target error, which is optimal.

arXiv:2609.39092 [quant-ph]

(or arXiv:2609.39092v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.39092 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 158 words

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