5 papers
Logarithmic-scale variational quantum eigensolver for off-lattice protein structure prediction in continuous torsional angle space
Fabio Cumbo, Bryan Raubenolt, Varun Puram +3
Classical and current quantum approaches to protein structure prediction (QPSP) face limitations, notably massive qubit requirements restricting near-term models to simplistic on-l…
Hybrid Quantum-Classical Machine Learning Algorithms for Multi-Output Time-Series Forecasting at Utility Scale
Mackenson Polché, Varun Puram, Aditi Lal +6
Multi-output time-series forecasting in energy systems is challenging because of nonlinear dynamics, multi-scale seasonality, and strong dependencies across correlated series. In t…
Stimulus-Voltage-Based Prediction of Action Potential Onset Timing: Classical vs. Quantum-Inspired Approaches
Stevens Johnson, Varun Puram, Johnson Thomas +2
Accurate modeling of neuronal action potential (AP) onset timing is crucial for understanding neural coding of danger signals. Traditional leaky integrate-and-fire (LIF) models, wh…
Quantum Algorithm for Jaccard Similarity
Varun Puram, Ruthvik Rao Bobbili, Johnson P Thomas
Jaccard Similarity is a very common proximity measurement used to compute the similarity between two asymmetric binary vectors. Jaccard Similarity is the ratio between the 1s (Inte…
A Comprehensive Review of Quantum Circuit Optimization: Current Trends and Future Directions
Krishnageetha Karuppasamy, Varun Puram, Stevens Johnson +1
Optimizing quantum circuits is critical for enhancing computational speed and mitigating errors caused by quantum noise. Effective optimization must be achieved without compromisin…