4 research outputs found
QASMBench: A Low-level QASM Benchmark Suite for NISQ Evaluation and Simulation
The rapid development of quantum computing (QC) in the NISQ era urgently
demands a low-level benchmark suite and insightful evaluation metrics for
characterizing the properties of prototype NISQ devices, the efficiency of QC
programming compilers, schedulers and assemblers, and the capability of quantum
simulators in a classical computer. In this work, we fill this gap by proposing
a low-level, easy-to-use benchmark suite called QASMBench based on the OpenQASM
assembly representation. It consolidates commonly used quantum routines and
kernels from a variety of domains including chemistry, simulation, linear
algebra, searching, optimization, arithmetic, machine learning, fault
tolerance, cryptography, etc., trading-off between generality and usability. To
analyze these kernels in terms of NISQ device execution, in addition to circuit
width and depth, we propose four circuit metrics including gate density,
retention lifespan, measurement density, and entanglement variance, to extract
more insights about the execution efficiency, the susceptibility to NISQ error,
and the potential gain from machine-specific optimizations. Most of the
QASMBench application code can be launched and verified in IBM-Q directly. With
the help from q-convert, QASMBench can be evaluated on various platforms and
simulation environments. QASMBench is released at:
http://github.com/pnnl/QASMBench