activity
20162026
most citedHybrid Quantum-Classical Hierarchy for Mitigation of Decoherence and Determination of Excited States

526 citations · 1.2k across the 25 of their papers we have counts for

collaborators

27 papers

cond-mat.mtrl-sci2026

The Future of Computing for Materials Science Challenges

Phalgun Lolur, Richard P. Padbury, George H. Booth +10

Materials discovery increasingly relies on the coordinated use of theory, computation, experiment, data-driven methods, and emerging quantum technologies, yet the full potential of…

quant-ph2025

Quantum Sensing using Geometrical Phase in Qubit-Oscillator Systems

Nishchay Suri, Zhihui Wang, Tanay Roy +2

We present a quantum sensing protocol for coupled qubit-oscillator systems that surpasses the standard quantum limit (SQL) by exploiting a geometrical phase. The signal is encoded…

quant-ph2025★ 1 cited

Combining Error Detection and Mitigation: A Hybrid Protocol for Near-Term Quantum Simulation

Dawei Zhong, William Munizzi, Huo Chen +1

Practical implementation of quantum error correction is currently limited by near-term quantum hardware. In contrast, quantum error mitigation has demonstrated strong promise for i…

math.OC2024

AI Driven Laser Parameter Search: Inverse Design of Photonic Surfaces using Greedy Surrogate-based Optimization

Luka Grbcic, Minok Park, Juliane Müller +2

Photonic surfaces designed with specific optical characteristics are becoming increasingly important for use in in various energy harvesting and storage systems. , In this study, w…

cs.LG2024★ 2 cited

Inverse design of photonic surfaces on Inconel via multi-fidelity machine learning ensemble framework and high throughput femtosecond laser processing

Luka Grbcic, Minok Park, Mahmoud Elzouka +6

We demonstrate a multi-fidelity (MF) machine learning ensemble framework for the inverse design of photonic surfaces, trained on a dataset of 11,759 samples that we fabricate using…

cs.CE2023

Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies

Luka Grbcic, Juliane Müller, Wibe Albert de Jong

This paper introduces a methodology designed to augment the inverse design optimization process in scenarios constrained by limited compute, through the strategic synergy of multi-…