  Flat optics have been proposed as an attractive approach for the
implementation of new imaging and sensing modalities to replace and augment
refractive optics. However, chromatic aberrations impose fundamental
limitations on diffractive flat optics. As such, true broadband high-quality
imaging has thus far been out of reach for low f-number, large aperture, flat
optics. In this work, we overcome these intrinsic fundamental limitations,
achieving broadband imaging in the visible wavelength range with a flat
meta-optic, co-designed with computational reconstruction. We derive the
necessary conditions for a broadband, 1 cm aperture, f/2 flat optic, with a
diagonal field of view of 30{\deg} and an average system MTF contrast of 30% or
larger for a spatial frequency of 100 lp/mm in the visible band (> 50 % for 70
lp/mm and below). Finally, we use a coaxial, dual-aperture system to train the
broadband imaging meta-optic with a learned reconstruction method operating on
pair-wise captured imaging data. Fundamentally, our work challenges the
entrenched belief of the inability of capturing high-quality, full-color images
using a single large aperture meta-optic.
