Qubit-wannabe Neural Networks

TL;DR

This paper introduces simulated qubits in neural networks, which can probabilistically store true and false states, simulate quantum computations, and outperform classical circuits, offering insights into biological mysteries.

Contribution

It presents a novel neural network model using simulated qubits that can perform quantum-like computations and surpass classical deterministic circuits.

Findings

Simulated qubits can perform certain quantum computations.

They significantly outperform classical deterministic circuits.

They offer potential explanations for biological phenomena.

Abstract

Recurrent neurons, or "simulated" qubits, can store simultaneous true and false with probabilistic behaviors usually reserved for the qubits of quantum physics. Although possible to construct artificially, simulated qubits are intended to explain biological mysteries. It is shown below that they can simulate certain quantum computations and, although less potent than the qubits of quantum physics, they nevertheless are shown to significantly exceed the capabilities of classical deterministic circuits.