565 citations · 723 across the 15 of their papers we have counts for
15 papers
A Qutrit Time Crystal Stabilized with Native Chiral Interactions
Noah Goss, Nishchay Suri, Brian Marinelli +11
Periodically driven quantum many-body systems can spontaneously break discrete time-translation symmetry, realizing discrete time crystals. To date, both experimental and theoretic…
Robustness of Kardar-Parisi-Zhang-like transport in long-range interacting quantum spin chains
Sajant Anand, Jack Kemp, Julia Wei +3
Isotropic integrable spin chains such as the Heisenberg model feature superdiffusive spin transport belonging to an as-yet-unidentified dynamical universality class closely related…
Beyond fragmented dopant dynamics in quantum spin lattices: Robust localization and non-Gaussian diffusion
Mingru Yang, Sajant Anand, Kristian Knakkergaard Nielsen
The motion of dopants in magnetic spin lattices has received tremendous attention for at least four decades due to its connection to high-temperature superconductivity. Despite the…
Alternating and Gaussian fermionic Isometric Tensor Network States
Yantao Wu, Zhehao Dai, Sajant Anand +5
Isometric tensor networks in two dimensions enable efficient and accurate study of quantum many-body states, yet the effect of the isometric restriction on the represented quantum…
Phases of decodability in the surface code with unitary errors
Yimu Bao, Sajant Anand
The maximum likelihood (ML) decoder in the two-dimensional surface code with generic unitary errors is governed by a statistical mechanics model with complex weights, which can be…
Tensor Network Python (TeNPy) version 1
Johannes Hauschild, Jakob Unfried, Sajant Anand +27
TeNPy (short for 'Tensor Network Python') is a python library for the simulation of strongly correlated quantum systems with tensor networks. The philosophy of this library is to a…
Superconductivity in a Topological Lattice Model with Strong Repulsion
Rahul Sahay, Stefan Divic, Daniel E. Parker +8
The highly tunable nature of synthetic quantum materials -- both in the solid-state and cold atom contexts -- invites examining which microscopic ingredients aid in the realization…
Classical benchmarking of zero noise extrapolation beyond the exactly-verifiable regime
Sajant Anand, Kristan Temme, Abhinav Kandala +1
In a recent work a quantum error mitigation protocol was applied to the expectation values obtained from circuits on the IBM Eagle quantum processor with up - qubits with up…
Kekulé spiral order in magic-angle graphene: a density matrix renormalization group study
Tianle Wang, Daniel E. Parker, Tomohiro Soejima +4
When the two layers of a twisted moiré system are subject to different degrees of strain, the effect is amplified by the inverse twist angle, e.g., by a factor of 50 in magic angle…
Two Dimensional Isometric Tensor Networks on an Infinite Strip
Yantao Wu, Sajant Anand, Sheng-Hsuan Lin +2
The exact contraction of a generic two-dimensional (2D) tensor network state (TNS) is known to be exponentially hard, making simulation of 2D systems difficult. The recently introd…
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…
Holographic quantum simulation of entanglement renormalization circuits
Sajant Anand, Johannes Hauschild, Yuxuan Zhang +2
While standard approaches to quantum simulation require a number of qubits proportional to the number of simulated particles, current noisy quantum computers are limited to tens of…
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann +122
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained…
Reverse Engineering the Neural Tangent Kernel
James B. Simon, Sajant Anand, Michael R. DeWeese
The development of methods to guide the design of neural networks is an important open challenge for deep learning theory. As a paradigm for principled neural architecture design,…
Watt-level widely tunable single-mode emission by injection-locking of a multimode Fabry-Perot quantum cascade laser
Paul Chevalier, Marco Piccardo, Sajant Anand +7
Free-running Fabry-Perot lasers normally operate in a single-mode regime until the pumping current is increased beyond the single-mode instability threshold, above which they evolv…