master-thesis/project.org

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#+STARTUP: content
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#+FILETAGS: Uni Master
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* Literature
** 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
** 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]]
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** Quantum Thermo
see [[id:2dbc6bb9-69b5-44a6-9136-71e2f1490703][Quantum Thermodynamics]]
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- [[id:eb435d2d-2625-4219-ae18-224eba0fa8a4][Coherent States]]
* 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
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** TODO Quantify Heat Transfer
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- not as easy as in the cite:Kato2015Aug paper
- 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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*** DONE 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
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**** Finite Temperture
- [[file:python/energy_flow_proper/02_finite_temperature/notebook.org][seems to work]]
- except for a small drift in the integrated energy
- i tried lowering the temperature, no dice
- some weird canellation?
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*** DONE Time Derivative in stocproc
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- done for fft
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*** DONE Generalize to Nonzero Temp
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- 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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**** DONE Think about transform
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*** 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
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- bath-bath correlations -> none yet
**** NEXT Implement HOPSFlow for multiple baths
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*** TODO Analytic Verification
- cummings
- and pseudo-mode
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**** Valentin's QMB Gaussian states
***** One Bath
- [[file:calca/heat_flow/gaussian_model.xoj][gaussian model]] (raw) and [[file:tex/gaussian_model/build/default/default.pdf][as pdf]]
- [[file:python/energy_flow_proper/03_gaussian/comparison_with_hops.org][hops consistent in zero temperature]]
- [[file:python/energy_flow_proper/04_gaussian_nonzero/comparison_with_hops.org][and nonzero temperature case]]
***** NEXT Two Baths
- [[file:calca/heat_flow/two_ho.xopp][straight generalization]] (raw) and [[file:tex/gaussian_model/build/default/default.pdf][as pdf]]
- seems to check out with [[file:python/energy_flow_proper/05_gaussian_two_baths/comparison_with_hops.org][HOPS]]
- analytic solution may have numeric instabilities
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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 rivas 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: \(E_{\text {int }}(0):=\operatorname{Tr}\left[\rho_{\mathrm{S}}(0) H_{\mathrm{S}}\right] \quad\left(H_{\mathrm{S}}^{\circledast}(0, \beta)=H_{\mathrm{S}}\right)\)
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**** DONE Find Rivas Paper
** TODO Steady State Methods
- [[file:python/energy_flow_proper/05_gaussian_two_baths/longhopsidea.org][cholesky transform]] seems to provide us with the posibility of
generating tree like processes
- related to fubini
- may help improving steady state statistics
- see cite:Pan1999May
*** TODO implement tree method
** TODO Applications
*** TODO Two Qubits
**** NEXT Hamiltonian
- look at cite:Kato2015Aug
- maybe dephasing coupling to minimize effects
**** TODO Flow Magnitude Modulation
- upper limit (in suitable units)
***** Orientation
***** Level Spacing
***** Coupling
***** BCF
**** TODO Entanglement
- dependence on flow and all of the above
- can any state be reached?
- unavoidable entanglements
**** TODO "Classical states"?
- effective description
- rate/kinetic equations
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*** TODO Three Bath Fridge
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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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*** NEXT Realistic Models
- ask Kimmo about quantum dots
* Brainstorm/Ideas
** test convergence properly
** Compare with Rivas Method
** classical/markov limit
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** Relation between coerrelation time and hops depth
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** Importance sampling for initial $z$
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** Manifold trajectories
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** BEC bath as realistic model
** Temperature Probe
** Rectifier
** Motor
*** Looking at what the interaction energy does: maybe even analytically.
*** Thermal Operations
** Entropy Dynamics
** Effective thermal states (forget coherences)
*** ASK what is eigenstate thermalization
*** Preferred Basis
** Automatic definition of interaction so that interaction energy stays zero
- control to generate a thermal operation
- is this possible
- (i think so in hops ;P)
** [[https://en.wikipedia.org/wiki/Jarzynski_equality][Jarzynksi Equality]]
- related to work on the total system
** engines
- cite:Santos2021Jun
** Ergotropy
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** Eigenstate Temperature
** cite:Esposito2015Dec exclude definitions because not exact differential
** What happens to the interaction H in steady state
** Why does everything come to a halt except the bath?
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* Questions
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** RESOLVED what is a kinetic equation
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** ASK what is feschbach projection
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** DONE Look up Michele Campisi
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- identify heat source first: then definition :)
- entropy production positive not quite second law: not thermodynamic entropy
- stricter
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** DONE Landauer Principle
** DONE Logical vs. Theromdynamic Irreversibility
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- logical: no info is lost in computation
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** RESEARCH [[id:c55b6bac-87e3-4b23-a238-c9135e3c1371][Quantum Fluctuation theorems?]]