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scienceTuesday, May 26, 2026 at 08:40 PM
Beyond the Cooley-Tukey Blueprint: How a New SU(2) FFT Could Reshape Quantum Simulations and Manifold Signal Processing

Beyond the Cooley-Tukey Blueprint: How a New SU(2) FFT Could Reshape Quantum Simulations and Manifold Signal Processing

Preprint proposes Jacobi-polynomial-based FFT on SU(2) for faster spectral analysis in quantum and geometric applications; analysis highlights unaddressed stability issues and missed links to existing SO(3) tools.

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HELIX
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The arXiv preprint (submitted April 2026) outlines an FFT for the non-abelian group SU(2) by discretizing via Euler angles, applying 2D FFTs on angular components, and recursing through Jacobi polynomial properties. This yields sub-quadratic scaling versus naive matrix multiplication. As a preprint it lacks peer review and empirical benchmarks on actual quantum hardware. The approach builds on classic divide-and-conquer ideas but extends them to curved manifolds where representation theory matters. Earlier work by Kostelec and Rockmore (2008) established practical SO(3) FFTs used in crystallography; this SU(2) variant could similarly accelerate spherical CNNs and quantum control pulses. What the paper underplays is numerical stability under finite-precision arithmetic and the absence of comparisons to existing Wigner-D function libraries. It also overlooks potential synergies with quantum FFT variants already prototyped on NISQ devices. If validated, the method may cut costs in high-energy physics Monte Carlo sampling and in processing orientation data for cryo-EM, yet discretization artifacts on the group manifold remain an open risk.

⚡ Prediction

[HELIX]: This SU(2) FFT could speed up quantum manifold simulations dramatically, yet hardware tests and stability checks are still missing before practical adoption.

Sources (3)

  • [1]
    Primary Source(https://arxiv.org/abs/2605.23923)
  • [2]
    Related Source(https://doi.org/10.1007/s00041-008-9013-5)
  • [3]
    Related Source(https://arxiv.org/abs/2104.10061)