Machine Learning for maximizing the memristivity of single and coupled quantum memristors
We propose machine learning (ML) methods to characterize the memristive properties of single and coupled quantum memristors. We show that maximizing the memristivity leads to large values in the degree of entanglement of two quantum memristors, unveiling the close relationship between quantum correlations and memory. Our results strengthen the possibility of using quantum memristors as key components of neuromorphic quantum computing.
Code (1)
Similar Papers 제목 키워드 기반
Machine-learning based three-qubit gate for realization of a Toffoli gate with cQED-based transmon systems
We use machine learning techniques to design a 50 ns three-qubit flux-tunable controlled-controlled-phase gate with fidelity of >99.99% for nearest-neighbor coupled transmons in circuit quantum electrodynamics architectu…
BIG-bench Machine LearningParametrized Quantum Circuit Learning for Quantum Chemical Applications
In the field of quantum machine learning (QML), parametrized quantum circuits (PQCs) -- constructed using a combination of fixed and tunable quantum gates -- provide a promising hybrid framework for tackling complex mach…
Quantum Machine LearningEmpirical Study of Observable Sets in Multiclass Quantum Classification
Variational quantum algorithms have gained attention as early applications of quantum computers for learning tasks. In the context of supervised learning, most of the works that tackle classification problems with parame…
Quantum Machine LearningBinary ClassificationDesigning High-Fidelity Single-Shot Three-Qubit Gates: A Machine Learning Approach
Three-qubit quantum gates are key ingredients for quantum error correction and quantum information processing. We generate quantum-control procedures to design three types of three-qubit gates, namely Toffoli, Controlled…
BIG-bench Machine LearningQuantum Cross Entropy and Maximum Likelihood Principle
Quantum machine learning is an emerging field at the intersection of machine learning and quantum computing. Classical cross entropy plays a central role in machine learning. We define its quantum generalization, the qua…
BIG-bench Machine LearningQuantum Machine LearningRelation