Update bibliography

Author: gefux

BIBLIOGRAPHY.md

@@ -2,6 +2,11 @@
 
 The code in this project is based on ideas from the following publications:
 
+**[Strathearn2017]**
+A. Strathearn, B.W. Lovett, and P. Kirton, *Efficient real-time path integrals
+for non-Markovian spin-boson models*. New Journal of Physics, 19(9),
+p.093009 (2017).
+
 **[Strathearn2018]**
 A. Strathearn, P. Kirton, D. Kilda, J. Keeling and
 B. W. Lovett,  *Efficient non-Markovian quantum dynamics using
@@ -73,6 +78,20 @@ optimal control of non-Markovian open quantum systems*, arXiv2101.03071
   year = {2018}
 }
 
+@article{Strathearn_2017,
+	doi = {10.1088/1367-2630/aa8744},
+	url = {https://doi.org/10.1088/1367-2630/aa8744},
+	year = 2017,
+	month = {sep},
+	publisher = {{IOP} Publishing},
+	volume = {19},
+	number = {9},
+	pages = {093009},
+	author = {A Strathearn and B W Lovett and P Kirton},
+	title = {Efficient real-time path integrals for non-Markovian spin-boson models},
+	journal = {New Journal of Physics},
+}
+
 @article{Strathearn2018,
   author = {Strathearn, A. and Kirton, P. and Kilda, D. and Keeling, J. and
             Lovett, B. W.},
@@ -90,13 +109,26 @@ optimal control of non-Markovian open quantum systems*, arXiv2101.03071
   year = {2018}
 }
 
+@book{Strathearn2019,
+  address = {Cham},
+  author = {Strathearn, Aidan},
+  doi = {10.1007/978-3-030-54975-6},
+  isbn = {978-3-030-54974-9},
+  publisher = {Springer International Publishing},
+  series = {Springer Theses},
+  title = {{Modelling Non-Markovian Quantum Systems Using Tensor Networks}},
+  url = {http://link.springer.com/10.1007/978-3-030-54975-6},
+  year = {2020}
+}
+
 @misc{TimeEvolvingMPO,
   author={{The TEMPO collaboration}},
   title={{TimeEvolvingMPO: A Python 3 package to efficiently compute
           non-Markovian open quantum systems.}},
   year=2020,
   publisher={GitHub},
-  url={{https://github.com/tempoCollaboration/TimeEvolvingMPO}}
+  doi={10.5281/zenodo.4428316}
+  url={https://github.com/tempoCollaboration/TimeEvolvingMPO}
 }
 
 ```

HOW_TO_CITE.md

@@ -1,19 +1,23 @@
 # How to Cite this Project
 
 ## Citing the Code
-- **[TimeEvolvingMPO]** The TEMPO collaboration, [*TimeEvolvingMPO: A Python 3 package to efficiently compute non-Markovianopen quantum systems*](https://github.com/tempoCollaboration/TimeEvolvingMPO) (2020).
+- **[TimeEvolvingMPO]** The TEMPO collaboration, *TimeEvolvingMPO: A Python 3 package to efficiently compute non-Markovianopen quantum systems*, GitHub (2020).
 
 
-## Citing the Science
+## Please consider citing:
 
 #### TEMPO algorithm :
 - **[Strathearn2018]**
 A. Strathearn, P. Kirton, D. Kilda, J. Keeling and
 B. W. Lovett,  *Efficient non-Markovian quantum dynamics using
 time-evolving matrix product operators*, Nat. Commun. 9, 3322 (2018).
 
-#### Process Tensor approach:
+- **[Strathearn2019]**
+A. Strathearn, *Modelling Non-Markovian Quantum Sys-tems Using Tensor
+Networks*, Springer Theses (2020)
+
 
+#### Process Tensor approach:
 - **[Pollock2018]**
 F.  A.  Pollock,  C.  Rodriguez-Rosario,  T.  Frauenheim,
 M. Paternostro, and K. Modi, *Non-Markovian quantumprocesses: Complete
@@ -24,7 +28,6 @@ structure of quantum processes to efficiently simulate non-markovian path
 integrals*, Phys. Rev. Lett. 123, 240602 (2019)
 
 #### Process Tensor - TEMPO algorithm
-
 - **[Fux2021]**
 G. E. Fux, E. Butler, P. R. Eastham, B. W. Lovett, and
 J. Keeling, *Efficient exploration of Hamiltonian parameter space for

docs/pages/bibliography.rst

@@ -3,6 +3,11 @@ Bibliography
 
 The code in this project is based on ideas from the following publications:
 
+**[Strathearn2017]**
+A. Strathearn, B.W. Lovett, and P. Kirton, *Efficient real-time path integrals
+for non-Markovian spin-boson models*. New Journal of Physics, 19(9),
+p.093009 (2017).
+
 **[Strathearn2018]**
 A. Strathearn, P. Kirton, D. Kilda, J. Keeling and
 B. W. Lovett,  *Efficient non-Markovian quantum dynamics using
@@ -78,6 +83,20 @@ BibTeX
     year = {2018}
   }
 
+  @article{Strathearn_2017,
+  	doi = {10.1088/1367-2630/aa8744},
+  	url = {https://doi.org/10.1088/1367-2630/aa8744},
+  	year = 2017,
+  	month = {sep},
+  	publisher = {{IOP} Publishing},
+  	volume = {19},
+  	number = {9},
+  	pages = {093009},
+  	author = {A Strathearn and B W Lovett and P Kirton},
+  	title = {Efficient real-time path integrals for non-Markovian spin-boson models},
+  	journal = {New Journal of Physics},
+  }
+
   @article{Strathearn2018,
     author = {Strathearn, A. and Kirton, P. and Kilda, D. and Keeling, J. and
               Lovett, B. W.},
@@ -95,11 +114,24 @@ BibTeX
     year = {2018}
   }
 
+  @book{Strathearn2019,
+    address = {Cham},
+    author = {Strathearn, Aidan},
+    doi = {10.1007/978-3-030-54975-6},
+    isbn = {978-3-030-54974-9},
+    publisher = {Springer International Publishing},
+    series = {Springer Theses},
+    title = {{Modelling Non-Markovian Quantum Systems Using Tensor Networks}},
+    url = {http://link.springer.com/10.1007/978-3-030-54975-6},
+    year = {2020}
+  }
+
   @misc{TimeEvolvingMPO,
     author={{The TEMPO collaboration}},
     title={{TimeEvolvingMPO: A Python 3 package to efficiently compute
             non-Markovian open quantum systems.}},
     year=2020,
     publisher={GitHub},
-    url={{https://github.com/tempoCollaboration/TimeEvolvingMPO}}
+    doi={10.5281/zenodo.4428316}
+    url={https://github.com/tempoCollaboration/TimeEvolvingMPO}
   }

docs/pages/how_to_cite.rst

@@ -9,13 +9,16 @@ Citing the Code
   <https://github.com/tempoCollaboration/TimeEvolvingMPO>`_, (2020).
 
 
-Citing the Science
-------------------
+Please consider citing
+----------------------
 
 TEMPO algorithm:
   - **[Strathearn2018]** A. Strathearn, P. Kirton, D. Kilda, J. Keeling and
     B. W. Lovett,  *Efficient non-Markovian quantum dynamics using
     time-evolving matrix product operators*, Nat. Commun. 9, 3322 (2018).
+  - **[Strathearn2019]**
+    A. Strathearn, *Modelling Non-Markovian Quantum Sys-tems Using Tensor
+    Networks*, Springer Theses (2020)
 
 Process Tensor approach:
   - **[Pollock2018]** F.  A.  Pollock,  C.  Rodriguez-Rosario,  T.  Frauenheim,