160 citations · 311 across the 29 of their papers we have counts for
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Polynomially efficient quantum enabled variational Monte Carlo for training neural-network quantum states for physico-chemical applications
Manas Sajjan, Vinit Singh, Sabre Kais
Neural-network quantum states (NQS) offer a versatile and expressive alternative to traditional variational ansätze for simulating physical systems. Energy-based frameworks, like H…
Extracting and Storing Energy From a Quasi-Vacuum on a Quantum Computer
Songbo Xie, Manas Sajjan, Sabre Kais
We explore recent advancements in the understanding and manipulation of vacuum energy in quantum physics, with a focus on the quantum energy teleportation (QET) protocol. Tradition…
Quantum Algorithms and Applications for Open Quantum Systems
Luis H. Delgado-Granados, Timothy J. Krogmeier, LeeAnn M. Sager-Smith +10
Accurate models for open quantum systems -- quantum states that have non-trivial interactions with their environment -- may aid in the advancement of a diverse array of fields, inc…
Designing variational ansatz for quantum-enabled simulation of non-unitary dynamical evolution -- an excursion into Dicke supperradiance
Saurabh Shivpuje, Manas Sajjan, Yuchen Wang +2
Adaptive Variational Quantum Dynamics (AVQD) algorithms offer a promising approach to providing quantum-enabled solutions for systems treated within the purview of open quantum dyn…
Defect-induced localization of information in 1D Kitaev model
Varadharajan Muruganandam, Manas Sajjan, Sabre Kais
We discuss one-dimensional(1D) spin compass model or 1D Kitaev model in the presence of local bond defects. Three types of local disorders concerning both bond-nature and bond-stre…