Soorya Rethinasamy
Applied Research Senior Associate at JPMorgan Chase
I design and study quantum algorithms, and hunt for quantum advantage. I am an applied research senior associate at the Global Technologies and Applied Research team at JPMorgan Chase.
I graduated from Cornell University with a Ph.D. in Applied and Engineering Physics under Dr. Mark M. Wilde. I have worked on several broad areas, including symmetries, distinguishability measures, variational algorithms, among others.
I am currently interested in certified randomness and its applications.
I graduated from Cornell University with a Ph.D. in Applied and Engineering Physics under Dr. Mark M. Wilde. I have worked on several broad areas, including symmetries, distinguishability measures, variational algorithms, among others.
I am currently interested in certified randomness and its applications.
Research Publications
Using free-energy minimization to design thermal states and stabilizer thermodynamic systems
arXiv
2025
Exploring the low lying strcture of the \(^{12}C\) nucleus.
ISVLSI
2024
Quantum algorithms to realize different projections and their concatenations.
arXiv
2024
Log-depth quantum circuits to realize Hamming weight projective measurements.
Phys. Rev. A
2024
Comparing different qubit encodings and finding bound state energies for general central potentials.
arXiv
2024
A slack-variable approach for variational quantum semi-definite programming.
Phys. Rev. A
2025
Connecting the complexity theoretic heirarchy to different symmetry testing algorithms.
CJP
2023
Quantum algorithm to estimating Entanglement via Steering
Quantum Journal
2023
Quantum Algorithms to estimate how distinguishable to states/channels are.
Phys. Rev. A
2021
Quantum Algorithms to test the symmetry of quantum states.
Quantum Journal
2021
Interconversion of probability distribution pairs with catalysis.
Phys. Rev. Research
2019
Investigation of monogamy scores for random multiparty pure states.
Phys. Rev. A
2018