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#+STARTUP : content
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#+FILETAGS : Uni Master
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* Literature
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** Stochastic Processes
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- [[id:223952d2-a9fa-4c96-b429-f05fd08644ca ][Introduction to stochastic processes-lecture notes ]]
- [[id:80a1efbe-130e-4236-a5bc-a29dc81ea57a ][Stochastic processes for physicists: understanding noisy systems ]]
- [[id:8559e06e-8681-4fc6-86ff-5732aefacca7 ][Probability and stochastic processes for physicists || ]]
** Open Systems
- [[id:c2e028d9-7ba5-4bbe-8c45-b191c6001f9a ][Open Quantum Systems ]] by Rivas
- [[id:bbcfafbe-685a-4773-9391-119230199e67 ][Fundamentals of quantum optics benjamin ]] by Klauder
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** Stochastic Unravelings
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- [[id:d1b1ff19-6450-48e5-96b7-cf0ba75e33d0 ][The quantum-state diffusion model applied to open systems ]] one of the first applications
- [[id:487f7392-2db2-474d-a97d-2392b8801a58 ][Decoherent histories and quantum state diffusion ]]
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** NMQSD
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See also [[id:0c2d1e58-7af7-411a-ace4-b6cc9e16859b ][NMQSD ]].
- [[id:f621ce90-bf29-4ee7-8972-618d41eb5092 ][The non-markovian stochastic schr\ifmmodeo\else\"o\fidinger equation for open systems ]]
- [[id:abb3e07e-ce6f-4ab8-bc88-f00f80196ed6 ][Non-Markovian Quantum State Diffusion ]]
- [[id:c3fc86bd-8b17-4015-b12d-b2a345da49c3 ][Open system dynamics with non-markovian quantum trajectories ]]
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** HOPS
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See also [[id:ddb3a3ad-c876-461d-b634-4bb5d330e25a ][HOPS ]].
- [[id:d98cf8bd-ec91-42a7-bea9-1d196ed42c32 ][Hierarchy of stochastic pure states for open quantum system dynamics ]]
- [[id:e5a44f45-2120-44ce-8e74-5ae247fa977e ][Exact open quantum system dynamics using the hierarchy of pure states (hops) ]]
- [[id:66e7eaf1-24a8-4a14-826e-1f132823fa9a ][Open quantum system response from the hierarchy of pure states ]]
** Numerik
See [[id:f8d8a28b-7ae3-425a-921e-8f472b166866 ][Numerics ]]
- [[id:f056e38e-d46b-40c5-bc69-5a14d2db2c88 ][Numerical Recipes ]]
* Important Basics
- [[id:eb435d2d-2625-4219-ae18-224eba0fa8a4 ][Coherent States ]]
* Todo
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** RESEARCH [[id:c55b6bac-87e3-4b23-a238-c9135e3c1371][Quantum Fluctuation theorems?]]
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* Tasks
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** DONE Implement Basic HOPS
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:LOGBOOK:
CLOCK: [2021-10-08 Fri 08:51]
CLOCK: [2021-10-07 Thu 13:38]--[2021-10-07 Thu 17:50] => 4:12
:END:
- see [[file:python/experiments/stochproc/test_stoch.org ][my stoch. proc experiments ]]
- ill use [[https://github.com/cimatosa/stocproc/tree/master/stocproc ][richards ]] package
** Quantify Heat Transfer
- not as easy as in the cite:Kato2015Aug paper
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- maybe heisenberg picture useful
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- see my notes. just calculate the time derivative of the bath energy
expectation
- [[file:python/billohops/test_billohops.org ][my first experiments ]] yield bogus numerics...
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- richards code makes it work
- for derivations see
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- [[file:calca/heat_flow/nonlinear_hops.xoj ][nonlinear ]]
- [[file:tex/energy_transfer/main.pdf ][TeXed notes ]]
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- the energy balance checks out [[id:cbc95df0-609d-4b1f-a51d-ebca7b680ec7 ][System + Interaction Energy ]] and [[file:calca/heat_flow/hsi.xoj ][my notes ]]
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- i've generalized to multiple exponential in [[id:9ce93da8-d323-40ec-96a2-42ba184dc963 ][this document ]]
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*** DONE TeX notes
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- done with nonlinear
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*** DONE verify that second hops state vanishes
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*** NEXT Adapt New HOPS
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- [[file:python/energy_flow_proper/01_zero_temperature/notebook.org ][Zero Temperature Checks out ]]
- stocproc can generate the time derivative with fft
*** TODO Time Derivative in stocproc
- done for fft
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*** TODO Generalize to Nonzero Temp
- in cite:RichardDiss the noise hamiltonian method is described
- b.c. only on system -> calculation should go through :)
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- not that easy, see [[file:calca/heat_flow/thermal.xoj ][notes ]]
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- includes time derivative of stoch proc
- idea: sample time derivative and integrate
- not as bad as thought: no exponential form needed -> process smooth
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- [[file:calca/heat_flow/nonzero_t_no_time_derivative.xoj ][one can get around the time derivative ]]
- i have implemented finite temperature [[file:python/richard_hops/energy_flow_thermal.org ][here ]]
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**** TODO Think about transform
*** DONE Try to get Richards old HOPS working
- code downloaded from [[https://cloudstore.zih.tu-dresden.de/index.php/s/9sdcn3FGGbDMDoj ][here ]]
- it works see [[file:python/richard_hops/energy_flow.org ][Energy Flow ]]
- interestingly with this model: only one aux state
*** DONE Test Nonlinear hops
- see [[file:python/richard_hops/energy_flow_nonlinear.org ][here ]]
*** TODO Generalize to two Baths
- bath-bath correlations
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*** TODO Analytic Verification
- cummings
- and pseudo-mode
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**** TODO Valentin's QMB Gaussian states
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*** DONE figure out why means involving the stoch. process are so bad
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- maybe y is wrong -> no
- then: not differentiable + too noisy
- other term is integral and continous, converges faster?
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- my test with the gauss process was tupid -> no sum of exponentials
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- it works with proper smooth process: [[id:2872b2db-5d3d-470d-8c35-94aca6925f14][Energy Flow in the linear case
with smooth correlation...]]
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*** DONE VORTRAG
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- https://www.youtube.com/watch?v=5bRii85RT8s&list=PLJfdTiUFX4cNiK44-ScthZC2SNNrtUGu1&index=33;
- where do i find out more about \(C^\ast\) algebras?
- power
\(\dot{W}(t):=\frac{d}{d t}\langle H(t)\rangle= \operatorname{Tr}\left[\dot{H}_{\mathrm{S}}(t) \rho_ {\mathrm{SR}}(t)\right]=\operatorname{Tr}\left[\dot{H}_{\mathrm{S}}(t) \rho_ {\mathrm{S}}(t)\right]\)
- work is just the change of total energy
- Definitions \(H_{\mathrm{S}}^{\circledast}(t, \beta):=-\beta^{-1} \log \left[\Lambda_ {t} \mathrm{e}^{-\beta H_{\mathrm{S}}}\right]\left\{\begin{array}{l}E_ {\mathrm{int}}(t):=\operatorname{Tr}\left\{\rho_{\mathrm{S}}(t)\left[H_{\mathrm{S}}^{\circledast}(t, \beta)+\beta \partial_{\beta} H_{\mathrm{S}}^{\circledast}(t, \beta)\right]\right\} \\ F(t):= \operatorname{Tr}\left\{\rho_{\mathrm{S}}(t)\left[H_ {\mathrm{S}}^{\circledast}(t, \beta)+\beta^{-1} \log \rho_{\mathrm{S}}(t)\right]\right\} \\ S(t):=\operatorname{Tr}\left\{\rho_{\mathrm{S}}(t)\left[-\log \rho_{\mathrm{S}}(t)+ \beta^{2} \partial_{\beta} H_ {\mathrm{S}}^{\circledast}(t, \beta)\right]\right\}\end{array}\right.\)
- Properties
- Initial time: \(E_{\text {int }}(0):=\operatorname{Tr}\left[\rho_ {\mathrm{S}}(0) H_{\mathrm{S}}\right] \quad\left(H_ {\mathrm{S}}^{\circledast}(0, \beta)=H_{\mathrm{S}}\right)\)
*** TODO Compare with Rivas Method
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*** DONE Find Rivas Paper
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*** NEXT Make proper library
*** TODO Three Bath Fridge
**** Mail from Konstantin
here is the paper I had in mind when we talked about the three-bath fridge.
https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.108.070604
I don't know if this scenario has been considered in a strong coupling framework.
This fridge is working continuously. Maybe for HOPS a stroke-based model could be better to avoid long propagation to the steady state. Just as an example, here is an Otto-Fridge with strong coupling (I have not thou thoroughly read this paper)
https://link.springer.com/article/10.1140%2Fepjs%2Fs11734-021-00094-0
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** Find the Steady State
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** Matrix Eigenvals
- see cite:Pan1999May
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** Relation between coerrelation time and hops depth
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* Ideas
- tune stocproc [[https://scicomp.stackexchange.com/questions/593/how-do-i-take-the-fft-of-unevenly-spaced-data ][tansinh with fft ]]