arXiv (Cornell University) · 2018 · 10 citations · 0 references
Open access
ComputingCloud ComputingComputer ScienceCompilersQuantum ComputingQuantum MechanicsQuantum BitsQuantum CircuitsQuantum CompilationQuantum ComputationQuantum ControlQuantum Hardware ArchitecturesConstraintsQuantum Circuit CompilationQuantum Circuit Design AutomationQuantum Circuit LearningQuantum Computing ArchitectureQubit CompilationTopological ConstraintsTopological Quantum Circuits
Recently, IBM has made available a quantum computer provided with 16 qubits, denoted as IBM Q16. Previously, only a 5 qubit device, denoted as Q5, was available. Both IBM devices can be used to run quantum programs, by means of a cloud-based platform. In this paper, we illustrate our experience with IBM Q16 in demonstrating entanglement assisted invariance, also known as envariance, and parity learning by querying a uniform quantum example oracle. In particular, we illustrate the non-trivial strategy we have designed for compiling $n$-qubit quantum circuits ($n$ being an input parameter) to IBM devices, taking into account their topological constraints.