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Expressive Quantum Perceptrons for Quantum Neuromorphic Computing

1 code implementation14 Nov 2022

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

A Tutorial on Formulating and Using QUBO Models

3 code implementations13 Nov 2018

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

Complexity continuum within Ising formulation of NP problems

1 code implementation2 Aug 2020

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

Machine Learning for maximizing the memristivity of single and coupled quantum memristors

1 code implementation10 Sep 2023

We propose machine learning (ML) methods to characterize the memristive properties of single and coupled quantum memristors.

Demonstration of a Tunable Non-Hermitian Nonlinear Microwave Dimer

1 code implementation17 Mar 2025

Achieving and controlling non-reciprocity in engineered photonic structures is of fundamental interest in science and engineering.

Quantum Physics

Thermal Conductivity Predictions with Foundation Atomistic Models

1 code implementation1 Aug 2024

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

A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network

1 code implementation23 Jul 2024

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.

Diversity Quantum Machine Learning

Transforming Traditional Neural Networks into Neuromorphic Quantum-Cognitive Models: A Tutorial with Applications

1 code implementation10 Mar 2025

Quantum technologies are increasingly pervasive, underpinning the operation of numerous electronic, optical and medical devices.

Quantum Machine Learning

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