Nishad Maskara
- Program Year: 3
- Academic Institution: Harvard University
- Field of Study: Physics
- Academic Advisor: Mikhail Lukin
- Practicum(s): Practicum Not Yet Completed
- Degree(s):
B.S. Physics, California Institute of Technology, 2019
Publications
Marcin Kalinowski, Nishad Maskara, Mikhail D. Lukin. "Non-Abelian Floquet Spin Liquids in a Digital Rydberg Simulator". arXiv:2211.00017Iris Cong*, Nishad Maskara*, Minh C. Tran, Hannes Pichler, Giulia Semeghini, Susanne F. Yelin, Soonwon Choi, Mikhail D. Lukin. "Enhancing Detection of Topological Order by Local Error Correction". arXiv:2209.12428
Leigh S. Martin, Hengyun Zhou, Nathaniel T. Leitao, Nishad Maskara, Oksana Makarova, Haoyang Gao, Qian-Ze Zhu, Mincheol Park, Matthew Tyler, Hongkun Park, Soonwon Choi, Mikhail D. Lukin. "Controlling local thermalization dynamics in a Floquet-engineered dipolar ensemble". arXiv:2209.09297
Dolev Bluvstein, Harry Levine, Giulia Semeghini, Tout T. Wang, Sepehr Ebadi, Marcin Kalinowski, Alexander Keesling, Nishad Maskara, Hannes Pichler, Markus Greiner, Vladan Vuletic, Mikhail D. Lukin. "A quantum processor based on coherent transport of entangled atom arrays". Nature 604, 451-456 (2022)
Nishad Maskara, Alexios A Michailidis, Wen Wei Ho, Dolev Bluvstein, Soonwon Choi, Mikhail D Lukin, Maksym Serbyn. "Discrete time-crystalline order enabled by quantum many-body scars: entanglement steering via periodic driving". Phys. Rev. Lett. 127, 090602 (2021)
Nishad Maskara, Michael Buchhold, Manuel Endres, Evert van Nieuwenburg. "A learning algorithm with emergent scaling behavior for classifying phase transitions". arXiv:2103.15855, PhysRevResearch.4.L022032
Dolev Bluvstein, Ahmed Omran, Harry Levine, Alexander Keesling, Giulia Semeghini, Sepehr Ebadi, Tout T. Wang, Alexios A. Michailidis, Nishad Maskara, Wen Wei Ho, Soonwon Choi, Maksym Serbyn, Markus Greiner, Vladan Vuletic, Mikhail D. Lukin. "Controlling many-body dynamics with driven quantum scars in Rydberg atom arrays". Science (2021)
Nishad Maskara, Aleksander Kubica, Tomas Jochym-O'Connor. Advantages of versatile neural-network decoding for topological codes. Phys. Rev. A 99, 052351 (2019)
Nishad Maskara, Abhinav Deshpande, Minh C. Tran, Adam Ehrenberg, Bill Fefferman, Alexey V. Gorshkov. Complexity phase diagram for interacting and long-range bosonic Hamiltonians. accepted PRL
Nishad Maskara, Evert van Niewenberg, Manuel Endres. Machine Learning a Phase Transition: Using Cold Atom Data and Modern Statistics to Understand Bose-Hubbard Physics. Caltech Senior Thesis (2019)
Publication prepared.
Theory of Quantum Computing, Communication, Crypotgraphy (TQC 2018)
Nishad Maskara, Aleksander Kubica, Tomas Jochym-O'Connor. Advantages of versatile neural-network decoding for topological codes.
IBM Research, Yorktown NY. August 2019.
Nishad Maskara. Applications of machine learning method to topological error correction.
APS March Meeting 2020:
Using Convolutional Neural Networks to analyze phase transitions and calculate critical exponents. Nishad Maskara, Evert Van Nieuwenburg, Manuel Endres
Quantum Information Processing (QIP 2019) and Theory of Quantum Computing, Communication, Crypotgraphy + Near-Intermediate Scaling Quantum computing (TQC+NISQ 2019)
Nishad Maskara, Abhinav Deshpande, Minh C. Tran, Michael Foss-Feig, Bill Fefferman and Alexey V. Gorshkov: Complexity phase transitions in interacting and long-range bosonic Hamiltonians.
Awards
Harvard Quantum Initiative First-Year Graduate Fellowship (Harvard HQI 2019)Robert F. Christy award for Outstanding Senior in Theoretical Physics (Caltech 2019)
Gordon McClure Memorial Communications Prize in Philosophy for an essay entitled: Electromagnetism is Time Reversible and the Magnetic Field is a Dynamical Condition (Caltech Humanities 2019)
Summer Undergraduate Research Fellowship x3 (Caltech 2016,17,18)