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Apr 12, 2021 · We describe an artificial quantum spiking neuron that relies on the dynamical evolution of two easy to implement Hamiltonians and subsequent ...
Jul 14, 2019 · We describe an artificial quantum spiking neuron that relies on the dynamical evolution of two easy to implement Hamiltonians and subsequent ...
Quantum phase transition identification by adversarial autoencoders. • Machine learning for tensor networks. • Learning of density functionals.
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An artificial quantum spiking neuron that relies on the dynamical evolution of two easy to implement Hamiltonians and subsequent local measurements to ...
We describe an artificial quantum spiking neuron that relies on the dynamical evolution of two easy to implement Hamiltonians and subsequent local measurements.
Apr 12, 2021 · We describe an artificial quantum spiking neuron that relies on the dynamical evolution of two easy to implement Hamiltonians and subsequent ...
Quantum bits make artificial spiking neurons - Physics World
physicsworld.com › quantum-bits-make-...
May 11, 2021 · The researchers went on to show that such artificial spiking quantum neurons can be used to compare and classify the simplest two-qubit states ...
In this work, we introduce a modular, excitable, optoelectronic spiking neuron based on a resonant tunnelling diode (RTD) electrically coupled to a PD (Thorlabs ...
Aug 26, 2024 · At room temperature, these artificial neurons have adaptive a spiking behavior and hybrid non-chaotic/chaotic modes. When networked, they output ...
Jul 23, 2024 · Here we introduce a new software model for quantum neuromorphic computing — a quantum leaky integrate-and-fire (QLIF) neuron, implemented as a ...