47 citations · 154 across the 19 of their papers we have counts for
19 papers
Dimensional and Spin Interpolation for the O Model: From Exact Anchors to RG-Improved Critical Exponents
Kumar Ghosh
We develop a two-axis interpolation framework for the O universality family, treating the spatial dimension and the spin-component number as independent continuous par…
Quantum Optimization for the Future Energy Grid: Summary and Quantum Utility Prospects
Jonas Blenninger, David Bucher, Giorgio Cortiana +6
In this project summary paper, we summarize the key results and use-cases explored in the German Federal Ministry of Education and Research (BMBF) funded project "Q-GRID" which aim…
Incentivising Demand Side Response through Discount Scheduling using Hybrid Quantum Optimization
David Bucher, Jonas Nüßlein, Corey O'Meara +5
Demand Side Response (DSR) is a strategy that enables consumers to actively participate in managing electricity demand. It aims to alleviate strain on the grid during high demand a…
Energy risk analysis with Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling
Kumar J. B. Ghosh, Kavitha Yogaraj, Gabriele Agliardi +6
We generalize the Approximate Quantum Compiling algorithm into a new method for CNOT-depth reduction, which is apt to process wide target quantum circuits. Combining this method wi…
Conditions for a quadratic quantum speedup in nonlinear transforms with applications to energy contract pricing
Gabriele Agliardi, Corey O'Meara, Kavitha Yogaraj +8
Computing nonlinear functions over multilinear forms is a general problem with applications in risk analysis. For instance in the domain of energy economics, accurate and timely ri…
Exploring exotic configurations with anomalous features using deep learning: Application of classical and quantum-classical hybrid anomaly detection
Kumar J. B. Ghosh, Sumit Ghosh
In this article we present the application of classical and quantum-classical hybrid anomaly detection schemes to explore exotic configuration with anomalous features. We consider…