run-tnn-cube-multi

#!/bin/bash
#
# run TNN benchmark for load & output simulation 
# optional pointers:
export QRACK_QUNIT_SEPARABILITY_THRESHOLD=0.30 
# --use-host-dma
#
# QRACK_QPAGER_DEVICES is now set to the card with the highest memory first (24GB), then the second GPU ( that has 2 GPUs of 12Gb each )
# qrack128 compilation is optimised for high qubit operations. if you want to do <33Qbits use /qrack/_build
# https://github.com/twobombs/thereminq/blob/master/Dockerfiles/Dockerfile#L33
#
# for TNN the combination of stabilizer, qpager on qunit-multi currently has the best speed and optimisation
#
cd /qrack128/_build/
#
export QRACK_QPAGER_DEVICES=12.0,6.1,6.2
# export QRACK_QPAGER_DEVICES_HOST_POINTER=2.0,2.1,2.2
export QRACK_OCL_DEFAULT_DEVICE=0
export QRACK_MAX_PAGING_QB=31
time ./benchmarks --optimal --measure-shots=1024 --use-host-dma --timeout=20000 --max-qubits=36 --benchmark-depth=36 --single test_stabilizer_t_nn --samples=100 --measure-output=/var/log/qrack/"t_nn_$(date +%F_%R_%S).log" &
#