10 citations · 18 across the 13 of their papers we have counts for
14 papers
Recovering Complex Unitary Eigenspaces from Real-Valued Embeddings
Stefanie Günther, N. Anders Petersson
We consider the problem of recovering a unitary eigendecomposition of a complex unitary matrix from that of its embedded real-valued formulation. Such formulations arise naturally…
Learning thermodynamic master equations for open quantum systems
Peter Sentz, Stanley Nicholson, Yujin Cho +3
The characterization of Hamiltonians and other components of open quantum dynamical systems plays a crucial role in quantum computing and other applications. Scientific machine lea…
A time-parallel multiple-shooting method for large-scale quantum optimal control
N. Anders Petersson, Stefanie Günther, Seung Whan Chung
Quantum optimal control plays a crucial role in quantum computing by providing the interface between compiler and hardware. Solving the optimal control problem is particularly chal…
Data-Driven Characterization of Latent Dynamics on Quantum Testbeds
Sohail Reddy, Stefanie Guenther, Yujin Cho
This paper presents a data-driven approach to learn latent dynamics in superconducting quantum computing hardware. To this end, we augment the dynamical equation of quantum systems…
A practical approach to determine minimal quantum gate durations using amplitude-bounded quantum controls
Stefanie Günther, N. Anders Petersson
We present an iterative scheme to estimate the minimal duration in which a quantum gate can be realized while satisfying hardware constraints on the control pulse amplitudes. The s…
Multigrid Reduction in Time for Chaotic Dynamical Systems
David A. Vargas, Robert D. Falgout, Stefanie Günther +1
As CPU clock speeds have stagnated and high performance computers continue to have ever higher core counts, increased parallelism is needed to take advantage of these new architect…
Toward Parallel in Time for Chaotic Dynamical Systems
David A. Vargas, Robert D. Falgout, Stefanie Günther +1
As CPU clock speeds have stagnated, and high performance computers continue to have ever higher core counts, increased parallelism is needed to take advantage of these new architec…
Quandary: An open-source C++ package for high-performance optimal control of open quantum systems
Stefanie Günther, N. Anders Petersson, Jonathan L. Dubois
Quantum optimal control can be used to shape the control pulses for realizing unitary and non-unitary transformations of quantum states. These control pulses provide the fundamenta…
Quantum Optimal Control for Pure-State Preparation Using One Initial State
Stefanie Günther, N. Anders Petersson, Jonathan L. DuBois
This paper presents a framework for solving the pure-state preparation problem using numerical optimal control. As an example, we consider the case where a number of qubits are dis…
Spline parameterization of neural network controls for deep learning
Stefanie Günther, Will Pazner, Dongping Qi
Based on the continuous interpretation of deep learning cast as an optimal control problem, this paper investigates the benefits of employing B-spline basis functions to parameteri…
Multilevel Initialization for Layer-Parallel Deep Neural Network Training
Eric C. Cyr, Stefanie Günther, Jacob B. Schroder
This paper investigates multilevel initialization strategies for training very deep neural networks with a layer-parallel multigrid solver. The scheme is based on the continuous in…
Layer-Parallel Training of Deep Residual Neural Networks
S. Günther, L. Ruthotto, J. B. Schroder +2
Residual neural networks (ResNets) are a promising class of deep neural networks that have shown excellent performance for a number of learning tasks, e.g., image classification an…
A Non-Intrusive Parallel-in-Time Approach for Simultaneous Optimization with Unsteady PDEs
Stefanie Günther, Nicolas R. Gauger, Jacob B. Schroder
This paper presents a non-intrusive framework for integrating existing unsteady partial differential equation (PDE) solvers into a parallel-in-time simultaneous optimization algori…
Simultaneous Single-Step One-Shot Optimization with Unsteady PDEs
Stefanie Günther, Nicolas R. Gauger, Qiqi Wang
The single-step one-shot method has proven to be very efficient for PDE-constrained optimization where the partial differential equation (PDE) is solved by an iterative fixed point…