EQC
Samuel Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan Baker, James Ang, Ang Li
Abstract
Variational quantum algorithm (VQA), which is comprised of a classical optimizer and a parameterized quantum circuit, emerges as one of the most promising approaches for harvesting the power of quantum computers in the noisy intermediate scale quantum (NISQ) era. However, the deployment of VQAs on contemporary NISQ devices often faces considerable system and time-dependant noise and prohibitively slow training speeds. On the other hand, the expensive supporting resources and infrastructure make quantum computers extremely keen on high utilization.
Topics & Concepts
Computer scienceParameterized complexityQuantum computerSoftware deploymentQuantumComputer engineeringNoise (video)Scale (ratio)Quantum circuitTheoretical computer scienceComputational scienceDistributed computingAlgorithmArtificial intelligenceQuantum error correctionSoftware engineeringPhysicsQuantum mechanicsImage (mathematics)Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum-Dot Cellular Automata