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Efficient, direct compilation of SU(N) operations into SNAP & Displacement gates

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arxiv 2307.11900 v1 pith:BOAS35UC submitted 2023-07-21 quant-ph

classification quant-ph
keywords alphathetadisplacementgatessequencesnapcompilenumerical
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We present a function which connects the parameter of a previously published short sequence of selective number-dependent arbitrary phase (SNAP) and displacement gates acting on a qudit encoded into the Fock states of a superconducting cavity, $V_k(\alpha)=D(\alpha)R_\pi(k)D(-2\alpha)R_\pi(k)D(\alpha)$ to the angle of the Givens rotation $G(\theta)$ on levels $|k\rangle,|k+1\rangle$ that sequence approximates, namely $\alpha=\Phi(\theta) = \frac{\theta}{4\sqrt{k+1}}$. Previous publications left the determination of an appropriate $\alpha$ to numerical optimization at compile time. The map $\Phi$ gives us the ability to compile directly any $d$-dimensional unitary into a sequence of SNAP and displacement gates in $O(d^3)$ complex floating point operations with low constant prefactor, avoiding the need for numerical optimization. Numerical studies demonstrate that the infidelity of the generated gate sequence $V_k$ per Givens rotation $G$ scales as approximately $O(\theta^6)$. We find numerically that the error on compiled circuits can be made arbitrarily small by breaking each rotation into $m$ $\theta/m$ rotations, with the full $d\times d$ unitary infidelity scaling as approximately $O(m^{-4})$. This represents a significant reduction in the computational effort to compile qudit unitaries either to SNAP and displacement gates or to generate them via direct low-level pulse optimization via optimal control.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Noise-Directed Adaptive Remapping for Integer Optimization: from qubits to (encoded) qudits

    quant-ph 2026-06 unverdicted novelty 6.0 of 10

    NDAR, a heuristic that turns device noise into a resource, is generalized to integer-domain optimization; qudit-native encodings are argued to be the best fit because their all-zeros attractor is always feasible and t...

  2. Near-term Application Engineering Challenges in Emerging Superconducting Qudit Processors

    quant-ph 2025-06 conditional novelty 2.0 of 10

    A review identifying near-term application opportunities and hardware engineering challenges for transmon-cavity qudit processors, with no new experimental or theoretical result.

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