160 citations · 311 across the 29 of their papers we have counts for
6 papers · 1 filter
Accelerating Quantum Simulations of Materials Through Parameter and Ansatz Transfer Strategies
Saurabh Shivpuje, Vinit Singh, Manas Sajjan +1
Quantum computing offers a promising route for electronic-structure calculations, but practical condensed-matter applications often require solving large families of related Hamilt…
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
Quantum state preparation can shape how positive and negative contributions combine in correlation measurements, providing a route to control cancellation through ensemble engineer…
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…
Hidden Unit Interpretability in RBM Quantum States:Encoding Antiferromagnetic Order in Heisenberg Spin Rings
Bharadwaj Chowdary Mummaneni, Manas Sajjan
We investigate how Restricted Boltzmann Machines (RBMs) encode antiferromagnetic order when trained as variational ansätze for one-dimensional Heisenberg spin rings with periodic b…
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…