Dr Ria Rushin Joseph
Lecturer in Emerging Technology and Quantum computing at Deakin University
Lecturer in Emerging Technology and Quantum computing at Deakin University
Lecturer and researcher with extensive experience in theoretical quantum computation for analysing complex problems, drawing insights from data at hand and enhancing decision making. University topper in Bachelor’s physics by securing 98% marks. Recipient of prestigious Victoria India doctoral scholar.
Dealt with delayed choice experiments involving qubits, NOON states, quantum states, etc.
Involved in a project that determines entanglement by making use of propagator method.
Developed a hybrid algorithm, whilst at Swinburne University for solving stochastic differential equations projected onto manifolds occur mainly in engineering, optimization theory, nanotechnology, physics, chemistry and biology which eliminated the bugs in the earlier projection algorithms.
Solved complex mathematical problems by developing models with alternative solutions, discussing findings and optimizing designs with latest information.
Created mathematical or statistical phenomena models for analysis or computational simulation use.
Avoided project delays and a diminished reputation for Swinburne by accepting additional responsibilities to learn new phase space techniques and fulfil the role of researcher to successfully deliver a difficult project.
Successfully developed and delivered Majorana Phase space methods by learning Grassmann algebra which was ‘above and beyond’ my usual accountabilities and published a paper based on it in a highly reputed journal.
Successfully published 4 research papers in highly reputed journals.
Teaching Mathematics at Deakin University
VQTN coordinator at Deakin University
Organising committee member of Quantum summit 2024
Education
Experience
Sep 5 — Present
● Unit chair of SIT190
● Teaching SIT190 and SIT192
● VQTN Coordinator of Deakin University
May 2020 — Sep 4
● Developed hybrid midpoint projection algorithm for solving stochastic differential equations
● Compared different projection algorithms
● Analysed Geometric Brownian motion in Python
● Probability density plots in Mathematica
● Dealt with research in qubit states, bell states, NOON states, entanglement, density matrix etc
● Co-supervised juniors
● Papers in high impact physics, mathematics and computational journals
February 2019
● Derived Majorana differential identities using Grassmann algebra, Linear algebra and calculus
● Analysed purity, entropy and fidelity distributions in MATLAB and Python
● Studied the dynamics of a quantum dot coupled to a zero temperature in MATLAB and Python
● Visualised normalized density of atoms in position space corresponding to flat and harmonic potential in MATLAB and Python
March 2019 — May 2020
● Responsible for preparing manuscripts in high impact journals.
● Involved in high level simulations in MATLAB and Mathematica.
● Delivered talks.
February 2017 — May 2019
● Running tutorials in Energy and motion, Introduction to physics.
● Laboratory demonstrator in Energy and motion, Introduction to physics and Electronics.
February 2014 — March 2014
● Contributed to teaching.
● Prepared teaching materials.
May 2014 — May 2015
● Contributed to teaching, research and course/program development and management in relevant areas.
● Prepared teaching materials
Projects
April 2018
RR Joseph, LEC Rosales-Zárate, PD Drummond
Journal of Physics A: Mathematical and Theoretical 51 (24), 245302
July 2018
RR Joseph, LEC Rosales-Zárate, PD Drummond
Physical Review A 98 (1), 013638
July 2019
RR Joseph, LEC Rosales-Zárate, PD Drummond
Physical Review A 100 (1), 012337
December 2022
RR Joseph, PD Drummond, LEC Rosales-Zárate
https://journals.aps.org/pra/accepted/64079D8aQ4614200805816c832d9444aff2b46df1 (accepted in PRA)
Midpoint projection algorithm for stochastic differential equations on manifolds
May 2023
Joseph, R. R., van Rhijn, J., & Drummond, P. D. (2023). Midpoint projection algorithm for stochastic differential equations on manifolds. Physical Review E, 107(5), 055307.
The Stochastic Toolbox User's Guide--xSPDE3: extensible software for stochastic ordinary and partial differential equations
Oct 2023
Kiesewetter, Simon, Ria Rushin Joseph, and Peter D. Drummond.
(SciPost Physics)
Wigner's Friend paradoxes: consistency with weak-contextual and weak-macroscopic realism models
Ria Rushin Joseph, Manushan Thenabadu, and Margaret Reid
(Submitted to PRA)
A projection algorithm for stochastic partial differential equations in a curved space (Ongoing)
Curved space path-integral sampling using projected partial stochastic differential equations(Ongoing)
Delayed choice experiments (Ongoing)
Higher order moments in Majorana phase-space (Ongoing)
Intracavity squeezing in parametric oscillator (Ongoing)
Achievements
Funded Projects
Army research scheme 2024
Chief Investigator, Project title: “Quantum sensing using squeezed states,” (Total budget of 77,361.81 AUD for 1 year ).
Distributed Quantum Computing: Algorithms and Software - 2024
Prof Seng Loke, Prof Jinho Choi, Dr Jihong Park, Dr Ria Rushin Joseph, Dr Sutharshan Rajasegarar, Dr Chathu Ranaweera
CSIRO Data61 - $338,226