Abstract:
Quantum computing provides computational advantage by encompassing principles of
superposition, entanglement and interference. Organizations use simulators and combination
of hardware and software components as quantum computing stack to develop
utility scale quantum computing applications. These stacks are being used for measurements
in terms of probabilities of outcome. We have used probability of measuring the
correct output as a metric of performance for benchmarking quantum computers. The
outcomes are further visualized using quantum computing stacks for monitoring and
correlating the results of executed jobs. Existing quantum computing stacks inherits
noise and results in faulty outcomes. Due to lack of availability of fault tolerant quantum
computer, development is being carried out in noisy environment. Inherent noises
may result during state preparation, measurement and gates error. Development of efficient
quantum computing applications require the confidence of developer to produce
the same results as on simulators. For now developers lack confidence on these quantum
computing stacks in producing similar results on simulators and hardware. Due
to non availability of commercial quantum computers and costly access to QPUs, developers
resorts to simulators for much of their initial development and testing. In this
research quantum circuits for entanglement, Bell’s state measurement GHZ state measurements,
Bernstein–Vazirani and Grover are executed on simulators and hardware
through available cloud services. Results of these circuits were recorded and analyzed
after their execution on simulators and hardware. These results can help organizations
in selection of quantum computing stack and signing service level agreements (SLAs).
Research highlights comparisons of available software stacks and proposes a new tool
QuantViz to filter, visualize and correlate these results. Thus enabling researchers in
visualizing, correlating and monitoring quantum jobs for selection and development of
efficient quantum computing applications.
