  In this work, we investigate the capacity of multi-antenna fading channels
with 1-bit quantized output per receive antenna. Specifically, leveraging
Bayesian statistical tools, we analyze the asymptotic regime with a large
number of receive antennas. In the coherent case, where the channel state
information (CSI) is known at the receiver's side, we completely characterize
the asymptotic capacity and provide the exact scaling in the extreme regimes of
signal-to-noise ratio (SNR) and the number of transmit antennas. In the
non-coherent case, where the CSI is unknown but remains constant during T
symbol periods, we first obtain the exact asymptotic capacity for T<=3. Then,
we propose a scheme involving uniform signaling in the covariance space and
derive a non-asymptotic lower bound on the capacity for an arbitrary block size
T. Furthermore, we propose a genie-aided upper bound where the channel is
revealed to the receiver. We show that the upper and lower bounds coincide when
T is large. In the low SNR regime, we derive the asymptotic capacity up to a
vanishing term, which, remarkably, matches our capacity lower bound.
