49 citations · 68 across the 15 of their papers we have counts for
4 papers · 1 filter
AutoQuREO: A Framework for Automated Quantum Resource Estimation and Optimization
Harshkumar Oza, Aritra Sarkar, Syed Naqi Abbas +4
As quantum computing progresses from proof-of-principle demonstrations toward practical utility, a significant impediment is the need to augment algorithmic feasibility with system…
DeComp2: Description Complexity aware Decomposition
Aritra Sarkar
Quantum compilers optimize execution-only proxies such as gate count, depth, and fidelity, treating the compiled circuit as the unit of cost. This conflates two distinct resources,…
From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data
King Yiu Yu, Aritra Sarkar, Erbing Hua +3
High-fidelity circuit execution on noisy intermediate-scale quantum devices is bottlenecked by compilation pipelines that disregard complex, correlated noise. To address this, this…
EQISA: Energy-efficient Quantum Instruction Set Architecture using Sparse Dictionary Learning
Sibasish Mishra, Aritra Sarkar, Sebastian Feld
The scalability of quantum computing in supporting sophisticated algorithms critically depends not only on qubit quality and error handling, but also on the efficiency of classical…