2 citations · 2 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
Efficient learning of arbitrary single-copy quantum states
Shibdas Roy, Filippo Caruso, Srushti Patil +1
Quantum state tomography is the problem of estimating a given quantum state. Usually, it is required to run the quantum experiment - state preparation, state evolution, measurement…