2 citations · 4 across the 12 of their papers we have counts for
12 papers
Attention-based optimizer for symmetry finding
Shreya Banerjee, Vinodh Raj Rajagopal Muthu, Charlie Nation +5
Finding symmetries is crucial for understanding physical models. In this work, we present an optimization framework that searches Pauli symmetries of Hamiltonians, merging the fiel…
Graph automorphisms to obtain Clifford symmetries in open and closed qudit models
Charlie Nation, Rick P. A. Simon, Shreya Banerjee +4
In the recent article [arXiv:2605.18966], we demonstrated that finding Clifford symmetries can be mapped to a Graph Automorphism (GA) problem. Here, we provide an algorithm to obta…
Clifford symmetries in quantum many-body systems
Charlie Nation, Rick P. A. Simon, Shreya Banerjee +4
Obtaining the symmetries of a model is a critical step towards developing an understanding and ultimately analytically or numerically solving the model. However, finding symmetries…
Hierarchical QAOA for the Vehicle Routing Problem via Clustered Decomposition and Local Feasibility Repair
Shreetam Dash, Shreya Banerjee, Prasanta K. Panigrahi
We propose a hierarchical quantum approximate optimization framework for solving large-scale Vehicle Routing Problems (VRP) using Quantum Approximate Optimization Algorithm (QAOA).…
Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions
Jyotiraj Nath, Shreya Banerjee, Bhaswati Singha Deo +2
We investigate the nature of the modifications in the temporal dynamics manifested in the high-frequency EEG spectra of the normal human brain in comparison to the diseased brain u…
Evolution of Entanglement Witness of Dicke State under Noise and Error Mitigation
Tomis Prajapati, Harsh Mehta, Shreya Banerjee +2
The experimental verification of multipartite entangled states is essential for advancing quantum information processing. Entanglement witnesses (EWs) provide a widely used and exp…
Quantum Dialogue through Non-destructive Discrimination of Cluster State
Mandar Thatte, Shreya Banerjee, Prasanta K. Panigrahi
We propose an efficient, measurement-based quantum dialogue protocol through non-destructive discrimination (NDD) of cluster state. We use ancilla-based measurements that allow the…
Machine Learning assisted noise classification with Quantum Key Distribution protocols
Shreya Banerjee, Ashmi A., Prasanta K. Panigrahi
We propose a hybrid protocol to classify quantum noises using supervised classical machine learning models and simple quantum key distribution protocols. We consider the quantum bi…
Counting with the quantum alternating operator ansatz
Julien Drapeau, Shreya Banerjee, Stefanos Kourtis
We introduce a variational algorithm based on the quantum alternating operator ansatz (QAOA) for the approximate solution of computationally hard counting problems. Our algorithm,…
Experimental demonstration of the Bell-type inequalities for four qubit Dicke state using IBM Quantum Processing Units
Tomis Prajapati, Harsh Mehta, Shreya Banerjee +2
Violation of the Bell-type inequalities is necessary to confirm the existence of nonlocality in nonclassical (entangled) states. We have designed a customized operator which is mad…
Fully Quantum Hash Function
Shreya Banerjee, Harshita Meena, Somanath Tripathy +1
We introduce a novel, \textit{fully} quantum hash (FQH) function within the quantum walk on a cycle framework. We incorporate deterministic quantum computation with a single qubit…
Lower bound of the expressibility of ansatzes for Variational Quantum Algorithms
Tamojit Ghosh, Arijit Mandal, Shreya Banerjee +2
The expressibility of an ansatz used in a variational quantum algorithm is defined as the uniformity with which it can explore the space of unitary matrices, i.e., its covering num…