Qubit stabilisation via learning capable materials

TL;DR

This paper proposes using a neurally architected material as an environment to control qubit decoherence, enabling longer coherence times and potential quantum gate implementations through adaptive, biologically inspired materials.

Contribution

It introduces a novel approach of employing neural-like materials as engineered environments to enhance qubit stability and perform quantum operations.

Findings

Engineered neural materials can modify decoherence dynamics.

Such materials can extend the lifetime of correlated quantum states.

Potential to implement quantum gates within neural material environments.

Abstract

I describe the engineered decoherence of a qubit state by means of an environment formed out of a neurally architected material. Such a material is a material that can adjust its inner properties in the same way a neural network is adjusting its weights, subject to a built-in cost function. Such a material is naturally found in biological structures (like a brain) but can in principle be engineered at a microscopic level. If such a material is used as an environment for a Nakajima-Zwanzig equation describing the controlled decoherence of a quantum state, we obtain a modified decoherence that allows for correlated states to exist longer or even to become robust. Such a neural material can also be architected to implement certain quantum gate operations on the encapsulated qubit.