We show that QPs are, with restricted resources, a quantum equivalent to the classical perceptron, a simple mathematical model for a neuron that is the building block of various machine learning architectures.
Quantum Physics Atomic Physics
The Quadratic Unconstrained Binary Optimization (QUBO) model has gained prominence in recent years with the discovery that it unifies a rich variety of combinatorial optimization problems.
Data Structures and Algorithms Discrete Mathematics Optimization and Control Quantum Physics 90C27
A promising approach to achieve computational supremacy over the classical von Neumann architecture explores classical and quantum hardware as Ising machines.
Quantum Physics Statistical Mechanics Computational Complexity Emerging Technologies Computational Physics
We propose machine learning (ML) methods to characterize the memristive properties of single and coupled quantum memristors.
Achieving and controlling non-reciprocity in engineered photonic structures is of fundamental interest in science and engineering.
Quantum Physics
Advances in machine learning have led to the development of foundation models for atomistic materials chemistry, enabling quantum-accurate descriptions of interatomic forces across diverse compounds at reduced computational cost.
Materials Science Applied Physics
Quantum machine learning is in a period of rapid development and discovery, however it still lacks the resources and diversity of computational models of its classical complement.
Quantum technologies are increasingly pervasive, underpinning the operation of numerous electronic, optical and medical devices.