Machine Learning of Noise-Resilient Quantum Circuits
Lukasz Cincio, Kenneth Rudinger, Mohan Sarovar, Patrick J. Coles
Abstract
The impact of hardware noise on quantum circuits is circumvented using a machine learning strategy that outputs the best circuit design for optimizing the performance of a given algorithmic task under the noisy environment.
Topics & Concepts
Computer scienceElectronic circuitTask (project management)Artificial intelligenceNoise (video)Computer engineeringQuantum computerQuantumMachine learningQuantum circuitElectronic engineeringIntegrated circuitCircuit designDeep learningComputational learning theoryArtificial neural networkLogic gateAlgorithmQuantum algorithmQuantum machine learningQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum and electron transport phenomena