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quant-ph2026
Efficient targeting of arbitrary excited states with quantum inverse power iteration through filtering polynomials
Srushti Patil, Nina Glaser
In this work, we introduce a quantum inverse power iteration (QIPI) algorithm based on the quantum singular value transformation (QSVT) to target arbitrary excited states. Given an…
quant-ph2025
Machine Learning Approach towards Quantum Error Mitigation for Accurate Molecular Energetics
Srushti Patil, Dibyendu Mondal, Rahul Maitra
Despite significant efforts, the realization of the hybrid quantum-classical algorithms has predominantly been confined to proof-of-principles, mainly due to the hardware noise. Wi…
quant-ph2023★ 2 cited
Hybrid quantum-classical graph neural networks for tumor classification in digital pathology
Anupama Ray, Dhiraj Madan, Srushti Patil +2
Advances in classical machine learning and single-cell technologies have paved the way to understand interactions between disease cells and tumor microenvironments to accelerate th…