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Quantum compiling means fast, device-aware implementation of quantumalgorithms (i.e., quantum circuits, in the quantum circuit model ofcomputation). In this paper, we present a strategy for compiling IBM Q -aware,low-depth quantum circuits that generate Greenberger-Horne-Zeilinger (GHZ)entangled states. The resulting compiler can replace the QISKit compiler forthe specific purpose of obtaining improved GHZ circuits. It is well known thatGHZ states have several practical applications, including quantum machinelearning. We illustrate our experience in implementing and querying a uniformquantum example oracle based on the GHZ circuit, for solving the classicallyhard problem of learning parity with noise.

Efficient and Effective Quantum Compiling for Entanglement-based Machine Learning on IBM Q Devices