activity
20092026
most citedLATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation

65 citations · 301 across the 33 of their papers we have counts for

collaborators

33 papers

quant-ph2026

Fidelity-Based Robustness Margins for Finite-Time Quantum Control

S. P. O'Neil, F. C. Langbein, C. A. Weidner +2

We develop a structure-specific fidelity-threshold robustness margin for finite-dimensional closed quantum systems under piecewise-constant coherent control. A scalar physical para…

eess.SP2026

The Sim-to-Real Gap in MRS Quantification: A Systematic Deep Learning Validation for GABA

Zien Ma, S. M. Shermer, Oktay Karakuş +1

Magnetic resonance spectroscopy (MRS) is used to quantify metabolites in vivo and estimate biomarkers for conditions ranging from neurological disorders to cancers. Quantifying low…

quant-ph2025

Energy Landscape Shaping for Robust Control of Atoms in Optical Lattices

C. A. Weidner, S. P. O'Neil, E. A. Jonckheere +2

Robust quantum control is crucial for realizing practical quantum technologies. Energy landscape shaping offers an alternative to conventional dynamic control, providing theoretica…

eess.IV2024

Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI

Asmail Muftah, S M Schirmer, Frank C Langbein

Magnetic resonance imaging (MRI) has become a crucial tool in the diagnosis and staging of prostate cancer, owing to its superior tissue contrast. However, it also creates large vo…

eess.IV2024★ 65 cited

LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation

Ebtihal J. Alwadee, Xianfang Sun, Yipeng Qin +1

Early-stage 3D brain tumor segmentation from magnetic resonance imaging (MRI) scans is crucial for prompt and effective treatment. However, this process faces the challenge of prec…

quant-ph2024

Robustness of Dynamic Quantum Control: Differential Sensitivity Bound

S. P. O'Neil, C. A. Weidner, E. A. Jonckheere +2

Dynamic control via optimized, piecewise-constant pulses is a common paradigm for open-loop control to implement quantum gates. While numerous methods exist for the synthesis of su…

quant-ph2023

Disturbance-agnostic robust performance with structured uncertainties and initial state error in classical versus quantum oscillatory systems

Edmond Jonckheere, Sophie G. Schirmer, Frank C. Langbein +2

A method to quantify robust performance for situations where structured parameter variations and initial state errors rather than extraneous disturbances are the main performance l…

quant-ph2023

Sample-efficient Model-based Reinforcement Learning for Quantum Control

Irtaza Khalid, Carrie A. Weidner, Edmond A. Jonckheere +2

We propose a model-based reinforcement learning (RL) approach for noisy time-dependent gate optimization with improved sample complexity over model-free RL. Sample complexity is th…

quant-ph2023★ 6 cited

Analyzing and Unifying Robustness Measures for Excitation Transfer Control in Spin Networks

S. P. O'Neil, I. Khalid, A. A. Rompokos +4

Recent achievements in quantum control have resulted in advanced techniques for designing controllers for applications in quantum communication, computing, and sensing. However, th…

quant-ph2023★ 8 cited

Robustness of Energy Landscape Control to Dephasing

Sean Patrick O'Neil, Frank C. Langbein, Edmond Jonckheere +1

As shown in previous work, in some cases closed quantum systems exhibit a non-conventional trade-off in performance and robustness in the sense that controllers with the highest fi…

quant-ph2023★ 10 cited

Robustness of Energy Landscape Controllers for Spin Rings under Coherent Excitation Transport

Sean O'Neil, Frank Langbein, Edmond Jonckheere +1

The design and analysis of controllers to regulate excitation transport in quantum spin rings presents challenges in the application of classical feedback control techniques to syn…

quant-ph2022★ 6 cited

Time Domain Sensitivity of the Tracking Error

S. O'Neil, S. G. Schirmer, F. C. Langbein +2

A strictly time-domain formulation of the log-sensitivity of the error signal to structured plant uncertainty is presented and analyzed through simple but representative classical…

quant-ph2022

Applying classical control techniques to quantum systems: entanglement versus stability margin and other limitations

C. A. Weidner, S. G. Schirmer, F. C. Langbein +1

Development of robust quantum control has been challenging and there are numerous obstacles to applying classical robust control to quantum system including bilinearity, marginal s…

quant-ph2022★ 15 cited

Statistically Characterising Robustness and Fidelity of Quantum Controls and Quantum Control Algorithms

Irtaza Khalid, Carrie A. Weidner, Edmond A. Jonckheere +2

Robustness of quantum operations or controls is important to build reliable quantum devices. The robustness-infidelity measure (RIM) is introduced to statistically quantify the…

quant-ph2021

Robustness of Quantum Systems Subject to Decoherence: Structured Singular Value Analysis?

S G Schirmer, F C Langbein, C A Weidner +1

We study the problem of robust performance of quantum systems under structured uncertainties. A specific feature of closed (Hamiltonian) quantum systems is that their poles lie on…

quant-ph2021★ 6 cited

Reinforcement Learning vs. Gradient-Based Optimisation for Robust Energy Landscape Control of Spin-1/2 Quantum Networks

I. Khalid, C. A. Weidner, E. A. Jonckheere +2

We explore the use of policy gradient methods in reinforcement learning for quantum control via energy landscape shaping of XX-Heisenberg spin chains in a model agnostic fashion. T…

math.OC2020★ 23 cited

Robust Control Performance for Open Quantum Systems

Sophie G. Schirmer, Frank C. Langbein, Carrie A. Weidner +1

Robust performance of control schemes for open quantum systems is investigated under classical uncertainties in the generators of the dynamics and nonclassical uncertainties due to…

eess.IV2019★ 11 cited

MRSNet: Metabolite Quantification from Edited Magnetic Resonance Spectra With Convolutional Neural Networks

M. Chandler, C. Jenkins, S. M. Shermer +1

Quantification of metabolites from magnetic resonance spectra (MRS) has many applications in medicine and psychology, but remains a challenging task despite considerable research e…

quant-ph2018★ 9 cited

Robustness of energy landscape control for spin networks under decoherence

S. Schirmer, E. Jonckheere, S. O'Neil +1

Quantum spin networks form a generic system to describe a range of quantum devices for quantum information processing and sensing applications. Understanding how to control them is…

quant-ph2017★ 5 cited

Sensitivity and Robustness of Quantum Spin-1/2 Rings to Parameter Uncertainty

Sean O'Neil, Edmond Jonckheere, Sophie Schirmer +1

Selective transfer of information between spin-1/2 particles arranged in a ring is achieved by optimizing the transfer fidelity over a readout time window via shaping, externally a…

quant-ph2017★ 14 cited

Structured singular value analysis for spintronics network information transfer control

Edmond A. Jonckheere, Sophie G. Schirmer, Frank C. Langbein

Control laws for selective transfer of information encoded in excitations of a quantum network, based on shaping the energy landscape using time-invariant, spatially-varying bias f…

math.OC2016★ 17 cited

Jonckheere-Terpstra test for nonclassical error versus log-sensitivity relationship of quantum spin network controllers

Edmond Jonckheere, Sophie G. Schirmer, Frank C. Langbein

Selective information transfer in spin ring networks by energy landscape shaping control has the property that the error 1-prob, where prob is the transfer success probability, and…

physics.comp-ph2016★ 3 cited

Monte Carlo Simulations of Spin Transport in a Strained Nanoscale InGaAs Field Effect Transistor

B. Thorpe, K. Kalna, F. C. Langbein +1

Spin-based logic devices could operate at very high speed with very low energy consumption and hold significant promise for quantum information processing and metrology. Here, an i…

quant-ph2016★ 24 cited

Design of Feedback Control Laws for Information Transfer in Spintronics Networks

Sophie G Schirmer, Edmond Jonckheere, Frank C Langbein

Information encoded in networks of stationary, interacting spin-1/2 particles is central for many applications ranging from quantum spintronics to quantum information processing. W…