  Superconducting quantum computing technology has ushered in a new era of
computational possibilities. While a considerable research effort has been
geared toward improving the quantum technology and building the software stack
to efficiently execute quantum algorithms with reduced error rate, effort
toward optimizing how quantum output states are defined and classified for the
purpose of reducing the error rate is still limited. To this end, this paper
proposes DisQ, a quantum output state classification approach which reduces
error rates of quantum programs on NISQ devices.
