  We report, in a sequence of notes, our work on the Alibaba Cloud Quantum
Development Platform(AC-QDP). AC-QDP provides a set of tools for aiding the
development of both quantum computing algorithms and quantum processors, and is
powered by a large-scale classical simulator deployed on Alibaba Cloud. In this
note, we report the computational experiments demonstrating the classical
simulation capability of AC-QDP. We use as a benchmark the random quantum
circuits designed for Google's Bristlecone QPU {\cite{GRCS}}. We simulate
Bristlecone-70 circuits with depth $1 + 32 + 1$ in $0.43$ second per amplitude,
using $1449$ Alibaba Cloud Elastic Computing Service (ECS) instances, each with
$88$ Intel Xeon(Skylake) Platinum 8163 vCPU cores @ 2.5 GHz and $160$ gigabytes
of memory. By comparison, the previously best reported results for the same
tasks are $104$ and $135$ seconds, using NASA's HPC Pleiades and Electra
systems, respectively ({arXiv:1811.09599}). Furthermore, we report simulations
of Bristlecone-70 with depth $1+36+1$ and depth $1+40+1$ in $5.6$ and $580.7$
seconds per amplitude, respectively. To the best of our knowledge, these are
the first successful simulations of instances at these depths.
