Molecular machines for quantum error correction
- URL: http://arxiv.org/abs/2103.05184v2
- Date: Tue, 15 Jun 2021 13:10:32 GMT
- Title: Molecular machines for quantum error correction
- Authors: Thiago Guerreiro
- Abstract summary: Inspired by biological molecular machines we explore the idea of an active quantum robot whose purpose is delaying decoherence.
A conceptual model capable of partially protecting arbitrary logical qubit states against single physical qubit errors is presented.
Implementation of an instance of that model - the entanglement qubot - is proposed using laser-dressed Rydberg atoms.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Inspired by biological molecular machines we explore the idea of an active
quantum robot whose purpose is delaying decoherence. A conceptual model capable
of partially protecting arbitrary logical qubit states against single physical
qubit errors is presented. Implementation of an instance of that model - the
entanglement qubot - is proposed using laser-dressed Rydberg atoms. Dynamics of
the system is studied using stochastic wavefunction methods.
Related papers
- Exploring the properties of quantum scars in a toy model [0.0]
We introduce the concept of ergodicity and explore its deviation caused by quantum scars in an isolated quantum system.
Quantum scars, originally identified as traces of classically unstable orbits in certain wavefunctions of chaotic systems, have recently regained interest for their role in non-ergodic dynamics.
arXiv Detail & Related papers (2024-11-05T16:31:08Z) - Realizing fracton order from long-range quantum entanglement in programmable Rydberg atom arrays [45.19832622389592]
Storing quantum information requires battling quantum decoherence, which results in a loss of information over time.
To achieve error-resistant quantum memory, one would like to store the information in a quantum superposition of degenerate states engineered in such a way that local sources of noise cannot change one state into another.
We show that this platform also allows to detect and correct certain types of errors en route to the goal of true error-resistant quantum memory.
arXiv Detail & Related papers (2024-07-08T12:46:08Z) - Hysteresis and Self-Oscillations in an Artificial Memristive Quantum Neuron [79.16635054977068]
We study an artificial neuron circuit containing a quantum memristor in the presence of relaxation and dephasing.
We demonstrate that this physical principle enables hysteretic behavior of the current-voltage characteristics of the quantum device.
arXiv Detail & Related papers (2024-05-01T16:47:23Z) - A Theory of Quantum Jumps [44.99833362998488]
We study fluorescence and the phenomenon of quantum jumps'' in idealized models of atoms coupled to the quantized electromagnetic field.
Our results amount to a derivation of the fundamental randomness in the quantum-mechanical description of microscopic systems.
arXiv Detail & Related papers (2024-04-16T11:00:46Z) - Universality of critical dynamics with finite entanglement [68.8204255655161]
We study how low-energy dynamics of quantum systems near criticality are modified by finite entanglement.
Our result establishes the precise role played by entanglement in time-dependent critical phenomena.
arXiv Detail & Related papers (2023-01-23T19:23:54Z) - A Quantum-Classical Model of Brain Dynamics [62.997667081978825]
Mixed Weyl symbol is used to describe brain processes at the microscopic level.
Electromagnetic fields and phonon modes involved in the processes are treated either classically or semi-classically.
Zero-point quantum effects can be incorporated into numerical simulations by controlling the temperature of each field mode.
arXiv Detail & Related papers (2023-01-17T15:16:21Z) - Generative model for learning quantum ensemble via optimal transport
loss [0.9404723842159504]
We propose a quantum generative model that can learn quantum ensemble.
The proposed model paves the way for a wide application such as the health check of quantum devices.
arXiv Detail & Related papers (2022-10-19T17:35:38Z) - Artificial stochastic neural network on the base of double quantum wells [0.0]
We consider a model of an artificial neural network based on quantum-mechanical particles in $W$ potential.
A form of the self-potential of a particle as well as two interaction potentials (exciting and inhibiting) are proposed.
arXiv Detail & Related papers (2022-08-16T07:54:19Z) - Counteracting dephasing in Molecular Nanomagnets by optimized qudit
encodings [60.1389381016626]
Molecular Nanomagnets may enable the implementation of qudit-based quantum error-correction codes.
A microscopic understanding of the errors corrupting the quantum information encoded in a molecular qudit is essential.
arXiv Detail & Related papers (2021-03-16T19:21:42Z) - Variational Quantum Boltzmann Machines [0.8057006406834467]
This work presents a novel realization approach to Quantum Boltzmann Machines (QBMs)
The preparation of the required Gibbs states, as well as the evaluation of the loss function's analytic gradient is based on Variational Quantum Imaginary Time Evolution.
We illustrate the application of this variational QBM approach to generative and discriminative learning tasks using numerical simulation.
arXiv Detail & Related papers (2020-06-10T18:00:09Z) - A Preliminary Study for a Quantum-like Robot Perception Model [1.0957528713294875]
A quantum-like (QL) approach provides descriptive features such as state superposition and probabilistic interference behavior.
We study the feasibility of a QL perception model for a robot with limited sensing capabilities.
arXiv Detail & Related papers (2020-06-04T11:03:48Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.