Open quantum dynamics for plant motions
- URL: http://arxiv.org/abs/2209.13494v1
- Date: Mon, 5 Sep 2022 13:20:27 GMT
- Title: Open quantum dynamics for plant motions
- Authors: Dorje C. Brody
- Abstract summary: Schr"odinger equations that govern the dynamics of open quantum systems are given by the equations for signal processing.
Brownian motion that drives the wave function of the system does not represent noise, but provides purely the arrival of new information.
It is argued that biological systems can process environmental signals relatively close to the Landauer limit of computation.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Stochastic Schr\"odinger equations that govern the dynamics of open quantum
systems are given by the equations for signal processing. In particular, the
Brownian motion that drives the wave function of the system does not represent
noise, but provides purely the arrival of new information. Thus the wave
function is guided by the optimal signal detection about the conditions of the
environments under noisy observations. This behaviour is similar to biological
systems that detect environmental cues, process this information, and adapt to
them optimally by minimising uncertainties about the conditions of their
environments. It is postulated that information-processing capability is a
fundamental law of nature, and hence that models describing open quantum
systems can equally be applied to biological systems to model their dynamics.
For illustration, simple stochastic models are considered to capture
heliotropic and gravitropic motions of plants. The advantage of such dynamical
models is that it allows for the quantification of information processed by the
plants. By considering the consequence of information erasure, it is argued
that biological systems can process environmental signals relatively close to
the Landauer limit of computation, and that loss of information must lie at the
heart of ageing in biological systems.
Related papers
- Spectral Density Classification For Environment Spectroscopy [44.99833362998488]
We leverage the potential of machine learning techniques to reconstruct the features of the environment.
For relevant examples of spin-boson models, we can classify with high accuracy the Ohmicity parameter of the environment as either Ohmic, sub-Ohmic or super-Ohmic.
arXiv Detail & Related papers (2023-08-01T20:42:59Z) - Biological efficiency in processing information [0.0]
A fundamental property of nature, signal-processing capability manifests universally across systems of different scales.
This includes the detection of environmental cues, particularly relevant to behaviours of both quantum systems and green plants.
The efficiency of biological computation can then be inferred by measuring energy consumption and subsequent heat production.
arXiv Detail & Related papers (2022-09-05T13:40:30Z) - Perturbation theory under the truncated Wigner approximation reveals how
system-environment entanglement formation drives quantum decoherence [0.0]
Quantum decoherence is the disappearance of simple phase relations within a discrete quantum system as a result of interactions with an environment.
We introduce a theoretical framework wherein we combine the truncated Wigner approximation with standard time-dependent perturbation theory.
We show that the selective suppression of low-frequency environmental modes is particularly effective for mitigating quantum decoherence.
arXiv Detail & Related papers (2022-06-22T18:17:28Z) - Decimation technique for open quantum systems: a case study with
driven-dissipative bosonic chains [62.997667081978825]
Unavoidable coupling of quantum systems to external degrees of freedom leads to dissipative (non-unitary) dynamics.
We introduce a method to deal with these systems based on the calculation of (dissipative) lattice Green's function.
We illustrate the power of this method with several examples of driven-dissipative bosonic chains of increasing complexity.
arXiv Detail & Related papers (2022-02-15T19:00:09Z) - Bridging the gap between topological non-Hermitian physics and open
quantum systems [62.997667081978825]
We show how to detect a transition between different topological phases by measuring the response to local perturbations.
Our formalism is exemplified in a 1D Hatano-Nelson model, highlighting the difference between the bosonic and fermionic cases.
arXiv Detail & Related papers (2021-09-22T18:00:17Z) - Unveiling non-Markovian spacetime signalling in open quantum systems
with long-range tensor network dynamics [0.0]
We use a Matrix Product State representation of the quantum state of a system and its environment to keep track of the bath explicitly.
We predict a non-Markovian dynamics where long-range couplings induce correlations into the environment.
The environment dynamics can be naturally extracted from our method and shine a light on long time feedback effects that are responsible for the observed non-Markovian recurrences in the eigen-populations of the system.
arXiv Detail & Related papers (2021-07-23T13:28:08Z) - Tracing Information Flow from Open Quantum Systems [52.77024349608834]
We use photons in a waveguide array to implement a quantum simulation of the coupling of a qubit with a low-dimensional discrete environment.
Using the trace distance between quantum states as a measure of information, we analyze different types of information transfer.
arXiv Detail & Related papers (2021-03-22T16:38:31Z) - Quantum Markov Chain Monte Carlo with Digital Dissipative Dynamics on
Quantum Computers [52.77024349608834]
We develop a digital quantum algorithm that simulates interaction with an environment using a small number of ancilla qubits.
We evaluate the algorithm by simulating thermal states of the transverse Ising model.
arXiv Detail & Related papers (2021-03-04T18:21:00Z) - QuTiP-BoFiN: A bosonic and fermionic numerical
hierarchical-equations-of-motion library with applications in
light-harvesting, quantum control, and single-molecule electronics [51.15339237964982]
"hierarchical equations of motion" (HEOM) is a powerful exact numerical approach to solve the dynamics.
It has been extended and applied to problems in solid-state physics, optics, single-molecule electronics, and biological physics.
We present a numerical library in Python, integrated with the powerful QuTiP platform, which implements the HEOM for both bosonic and fermionic environments.
arXiv Detail & Related papers (2020-10-21T07:54:56Z) - Perspective: Numerically "exact" approach to open quantum dynamics: The
hierarchical equations of motion (HEOM) [0.0]
An open quantum system refers to a system that is further coupled to a bath system.
The hierarchical equations of motion (HEOM) can describe numerically "exact" dynamics of a reduced system.
arXiv Detail & Related papers (2020-06-09T21:00:32Z) - An inverse-system method for identification of damping rate functions in
non-Markovian quantum systems [2.7068170693404197]
We present an inverse-system method to identify damping rate functions which describe non-Markovian environments.
We show that identifiability for the damping rate functions corresponds to the invertibility of the system.
The effectiveness of our method is shown in examples of an atom and three-spin-chain non-Markovian systems.
arXiv Detail & Related papers (2020-03-19T07:53:10Z)
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.