4 citations · 7 across the 5 of their papers we have counts for
6 papers
Beyond Feasibility: Finite-Depth Accessibility in Constrained QAOA
Rushikesh Ubale, Gregory T. Byrd, Yasar Mulani +1
Constraint-preserving mixers keep QAOA within a feasible subspace, but feasibility and global mixer connectivity do not determine which feasible configurations are available to a p…
Quantum Similarity-Driven QUBO Framework for Multi-Period Supply Chain Allocation using Time-Multiplexed Coherent Ising Machines and Simulated Quantum Annealing
Rushikesh Ubale, Yasar Mulani, Abhay Suresh +4
Multi-period stock-keeping unit (SKU) allocation in supply chains is a combinatorial optimization problem that is both NP-hard and operationally critical, requiring simultaneous at…
Prediction of Stocks Index Price using Quantum GANs
Sangram Deshpande, Gopal Ramesh Dahale, Sai Nandan Morapakula +1
This paper investigates the application of Quantum Generative Adversarial Networks (QGANs) for stock price prediction. Financial markets are inherently complex, marked by high vola…
Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection
Rushikesh Ubale, Sujan K. K., Sangram Deshpande +1
We present a novel hybrid quantum-classical neural network architecture for fraud detection that integrates a classical Long Short-Term Memory (LSTM) network with a variational qua…
End-to-End Portfolio Optimization with Quantum Annealing
Sai Nandan Morapakula, Sangram Deshpande, Rakesh Yata +3
Hybrid-quantum classical optimization has emerged as a promising direction for addressing financial decision problems under current quantum hardware constraints. In this work we pr…
Currency Arbitrage Optimization using Quantum Annealing, QAOA and Constraint Mapping
Sangram Deshpande, Elin Ranjan Das, Frank Mueller
Currency arbitrage capitalizes on price discrepancies in currency exchange rates between markets to produce profits with minimal risk. By employing a combinatorial optimization pro…