Sajant Anand
email: sajant (at) berkeley.edu
Hello! I am interested in far too many research topics spanning physics and CS but am currently working on tensor networks methods for efficient classical and quantum simulations. Outside of research, I enjoy practicing classical flute, playing squash, and baking desserts.
2023
1. Superconductivity in a Topological Lattice Model with Strong Repulsion
Rahul Sahay, Stefan Divic, Daniel E. Parker, Tomohiro Soejima, Sajant Anand, Johannes Hauschild, Monika Aidelsburger, Ashvin Vishwanath, Shubhayu Chatterjee, Norman Y. Yao, Michael P. Zaletel
arXiv: 2308.10935,
2. Classical benchmarking of zero noise extrapolation beyond the exactly-verifiable regime
Sajant Anand, Kristan Temme, Abhinav Kandala, Michael Zaletel
arXiv: 2306.17839,
2022
3. Two Dimensional Isometric Tensor Networks on an Infinite Strip
Yantao Wu, Sajant Anand, Sheng-Hsuan Lin, Frank Pollmann, Michael P. Zaletel
arXiv: 2211.14337, Phys. Rev. B 107, 245118 (2023)
4. Kekulé spiral order in magic-angle graphene: a density matrix renormalization group study
Tianle Wang, Daniel E. Parker, Tomohiro Soejima, Johannes Hauschild, Sajant Anand, Nick Bultinck, Michael P. Zaletel
arXiv: 2211.02693,
5. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew Dai, Andrew La, Andrew Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat
arXiv: 2206.04615, Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj
6. Holographic quantum simulation of entanglement renormalization circuits
Sajant Anand, Johannes Hauschild, Yuxuan Zhang, Andrew C. Potter, Michael P. Zaletel
arXiv: 2203.00886, PRX Quantum 4, 030334 (2023)
2021
7. NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Shrivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko
arXiv: 2112.02721,
8. Reverse Engineering the Neural Tangent Kernel
James B. Simon, Sajant Anand, Michael R. DeWeese
arXiv: 2106.03186,
2017
9. Watt-level widely tunable single-mode emission by injection-locking of a multimode Fabry-Perot quantum cascade laser
Paul Chevalier, Marco Piccardo, Sajant Anand, Enrique A. Mejia, Yongrui Wang, Tobias S. Mansuripur, Feng Xie, Kevin Lascola, Alexey Belyanin, Federico Capasso
arXiv: 1712.03116, Applied Physics Letters 112(6) (2018) 061109