Quantum oscillators with nonlinear driving and dissipative terms have gained significant
attention due to their ability to stabilize cat states for universal quantum computation …

Algorithms for associative memory typically rely on a network of many connected units. The
prototypical example is the Hopfield model, whose generalizations to the quantum realm are …

We introduce and analyze an open quantum generalization of the q-state Potts-Hopfield
neural network (NN), which is an associative memory model based on multi-level classical …

Nanoneuroscience is the study of computationally relevant biomolecules found inside
neurons. Because of recent technological advances at the nanometer scale, scientists have …

Associative memory refers to the ability to relate a memory with an input and targets the
restoration of corrupted patterns. It has been intensively studied in classical physical …

Methods and apparatuses for pattern recognition involve quantum-mechanical calculations.
Pattern recognition can be achieved by considering a quantum system and its Hamilto nian …

In this paper, we investigate the interference engineering of the open quantum system,
where the environment is made indefinite either through the use of an interferometer or the …

We review our models of quantum associative memories that represent the" quantization" of
fully coupled neural networks like the Hopfield model. The idea is to replace the classical …

We show that a quantum state can be perfectly cloned up to global mirroring with a unitary
transformation that depends on one single parameter. We then show that this is equivalent …

This study concerns with the dynamics of a quantum neural network unit in order to examine
the suitability of simple neural computing tasks. More specifically, we examine the dynamics …