11 citations · 19 across the 11 of their papers we have counts for
9 papers · 1 filter
Dissipative realization of a quantum distance-based classifier using open quantum walks
Pedro Linck, Graeme Pleasance, Francesco Petruccione +1
Open quantum walks (OQWs) constitute a class of quantum walks whose dynamics are entirely driven by interactions with the environment. It is well known that OQWs provide a general…
High-temperature limit penalizing high-frequency quantum fluctuations
Graeme Pleasance, Erik Aurell, Francesco Petruccione
We revisit the Caldeira-Leggett model of quantum Brownian motion with Ohmic spectral density, and derive an additional contribution to the decoherence kernel in a new high-temperat…
Quantum Spectral Clustering: Comparing Parameterized and Neuromorphic Quantum Kernels
Donovan Slabbert, Dean Brand, Francesco Petruccione
We compare a parameterized quantum kernel (pQK) with a quantum leaky integrate-and-fire (QLIF) neuromorphic computing approach that employs either the Victor-Purpura or van Rossum…
Quantum Machine Learning
Muhammad Usman
The meteoric rise of artificial intelligence in recent years has seen machine learning methods become ubiquitous in modern science, technology, and industry. Concurrently, the emer…
Canonical Quantization of a Memristive Leaky Integrate-and-Fire Neuron Circuit
Dean Brand, Domenica Dibenedetto, Francesco Petruccione
We present a theoretical framework for a quantized memristive Leaky Integrate-and-Fire (LIF) neuron, uniting principles from neuromorphic engineering and open quantum systems. Star…
Non-Markovianity in collision models with initial intra-environment correlations
Graeme Pleasance, Angel E. Neira, Marco Merkli +1
Collision models (CMs) describe an open system interacting in sequence with elements of an environment, termed ancillas. They have been established as a useful tool for analyzing n…