<p>We decompose, under the very restrictive linear nearest-neighbour connectivity, <i>Z</i><sup>⊗<i>n</i></sup> exponentials of arbitrary length into circuits of constant depth using <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\({\mathcal{O}}(n)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi class="MJX-tex-caligraphic" mathvariant="script">O</mi> <mrow> <mo>(</mo> <mrow> <mi>n</mi> </mrow> <mo>)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> ancillae and two-body XX and ZZ interactions. Consequently, a similar method works for arbitrary Pauli exponentials. We prove the correctness of our approach after introducing novel rewrite rules for circuits that benefit from qubit recycling. The decomposition has a wide variety of applications, ranging from the efficient implementation of practical fault-tolerant lattice surgery computations to expressing arbitrary stabilizer circuits via two-body interactions only and parallel decoding of quantum error-correcting computations.</p>

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On the constant depth implementation of Pauli exponentials

  • Ioana Moflic,
  • Alexandru Paler

摘要

We decompose, under the very restrictive linear nearest-neighbour connectivity, Zn exponentials of arbitrary length into circuits of constant depth using \({\mathcal{O}}(n)\) O ( n ) ancillae and two-body XX and ZZ interactions. Consequently, a similar method works for arbitrary Pauli exponentials. We prove the correctness of our approach after introducing novel rewrite rules for circuits that benefit from qubit recycling. The decomposition has a wide variety of applications, ranging from the efficient implementation of practical fault-tolerant lattice surgery computations to expressing arbitrary stabilizer circuits via two-body interactions only and parallel decoding of quantum error-correcting computations.