From the 1 of 12 linked papers with an AI index.
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Symmetry Constraints Regularize Neural Quantum State Learning
Turbasu Chatterjee, Manas Sajjan, Songbo Xie +4
Neural quantum states (NQS) offer highly expressive variational wavefunctions, but their optimization is frequently bottlenecked by redundant parameters and poorly conditioned land…
Ensemble Engineering to Overcome Destructive Cancellation in Quantum Measurements
Myeongsu Kim, Manas Sajjan, Sabre Kais
The paper proposes engineering the sampling distribution of quantum ensembles directly into the prepared state to reduce destructive cancellation in expectation‑value measurements…
Modulator-Assisted Zeno Control of Energy Transfer in Quantum Batteries
Songbo Xie, Manas Sajjan, Ashok Ajoy +1
Efficient operation of quantum batteries requires not only fast energy transfer but also the ability to halt the charging process to prevent reverse flow. Existing approaches typic…
Continuous-time quantum-walk centrality for protein residue interaction networks
Shah Ishmam Mohtashim, Manas Sajjan, Sabre Kais
We present a quantum-dynamical framework for identifying structurally important residues in proteins based on continuous time quantum walks (CTQWs) on weighted residue interaction…
Quantum Machine Learning for Complex Systems
Vinit Singh, Amandeep Singh Bhatia, Mandeep Kaur Saggi +2
Quantum machine learning (QML) is rapidly transitioning from theoretical promise to practical relevance across data-intensive scientific domains. In this Review, we provide a struc…
Out-of-time-order correlators bridge classical transport and quantum dynamics
Sophia N. Fricke, Haiyan Mao, Manas Sajjan +4
The out-of-time-order correlator (OTOC) has emerged as a central tool for quantifying decoherence across wide-ranging physical platforms. Here we demonstrate its direct measurement…