Quantum Geneticists
mentorship project at the Quantum Open Source Foundation
Mentors: Farhan T. Chowdhury (University of Exeter), Andrei Tretiakov (UCLA)
Mentees: Eduardo Miguel Martinez Garcia, Hanchen Huang, Denisa Vítková
Duration: April 2023–July 2023
Project description
We conducted some initial tests using a genetic approach for realising optimal quantum control of radical pair reactions. To that end the physically relevant quantities, namely the singlet probability and recombination yields, were minimised by tuning applied external magnetic field pulses to drive reaction outcomes. This approach was fine-tuned through to a hypervalidation setup, where different configurations were tested, and the best one was selected according to a given measure (the singlet probability), using a grid-search approach. To limited success, formulating a re-inforcement learning strategy was also attempted.
References
Chowdhury, F. T., Denton, M. C., Bonser, D. C., & Kattnig, D. R. (2023). Quantum Control of Radical Pair Dynamics beyond Time-Local Optimisation. arXiv preprint arXiv:2306.08613 [physics.chem-ph].
Software
We make use of the following Python packages:
- [Array programming with NumPy](Nature 585, 357–362), Harris, C.R., Millman, K.J., van der Walt, S.J. et al.
- [QuTiP 2: A Python framework for the dynamics of open quantum systems](Comp. Phys. Comm. 184, 1234), Nori, F. et al.
- [Tensorflow](Symposium on Operating Systems Design and Implementation, pp. 265–283), Abadi, M., Agarwal, A. et al.
- [Fundamental Algorithms for Scientific Computing in Python](Nature Methods, 17(3), 261-272.), Virtanen, P. et al.
- [Matplotlib: A 2D graphics environment](Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95), J. D. Hunter.
Licence
MIT License
Copyright (c) 2023 Farhan Tanvir Chowdhury
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.