Quantum neuromorphic hardware for quantum artificial intelligence

[摘要] The development of machine learning methods based on deep learning boosted the field of artificial intelligence towards unprecedented achievements and application in several fields. Such prominent results were made in parallel with the first successful demonstrations of fault tolerant hardware for quantum information processing. To which extent deep learning can take advantage of the existence of a hardware based on qubits behaving as a universal quantum computer is an open question under investigation. Here I review the convergence between the two fields towards implementation of advanced quantum algorithms, including quantum deep learning.

[发布机构] Istituto di Fotonica e Nanotecnologie, Consiglio Nazionale Delle Ricerche, Piazza Leonardo da Vinci 32, Milano; I-20133, Italy^1

[效力级别] 力学 [学科分类] 力学，机械学

[关键词] Fault-tolerant;Machine learning methods;Neuromorphic hardwares;Quantum algorithms;Quantum-information processing