activity
20042026
most citedFrom pulses to circuits and back again: A quantum optimal control perspective on variational quantum algorithms

105 citations · 813 across the 24 of their papers we have counts for

collaborators

24 papers

quant-ph2026

Noise-resilient and Scalable Quantum Error Correction for Nuclear Spin Qubits in Silicon with Electron Shuttling

Wayne M. Witzel, Matthew D. Grace, Dwight R. Luhman

Nuclear spin qubits in silicon are well-isolated from their environment. Consequently, they have very long lifetimes and low sensitivity to noise, but this also suggests that contr…

cond-mat.mes-hall2026

Predicting the Slow Drift of Nuclear Spin Noise in Semiconductor Spin Qubits

Wayne M. Witzel, Jesse J. Lutz, Matthew D. Grace +3

The dynamics of a nuclear spin bath generates magnetic noise that is a key contributor to the decoherence of electron spin qubits in electrostatically-defined quantum dots. In this…

quant-ph2026

Learning parameter curves in feedback-based quantum algorithms

Vicente Peña Pérez, Matthew D. Grace, Christian Arenz +1

Feedback-based quantum algorithms (FQAs) operate by iteratively growing a quantum circuit to optimize a given task. At each step, feedback from qubit measurements is used to inform…

quant-ph2023★ 1 cited

Two-Qubit Gate Set Tomography with Fewer Circuits

Kenneth M. Rudinger, Corey I. Ostrove, Stefan K. Seritan +4

Gate set tomography (GST) is a self-consistent and highly accurate method for the tomographic reconstruction of a quantum information processor's quantum logic operations, includin…

quant-ph2023

Feedback-based quantum algorithms for ground state preparation

James B. Larsen, Matthew D. Grace, Andrew D. Baczewski +1

The ground state properties of quantum many-body systems are a subject of interest across chemistry, materials science, and physics. Thus, algorithms for finding ground states can…

quant-ph2022★ 30 cited

Self-healing of Trotter error in digital adiabatic state preparation

Lucas K. Kovalsky, Fernando A. Calderon-Vargas, Matthew D. Grace +4

Adiabatic time evolution can be used to prepare a complicated quantum many-body state from one that is easier to synthesize and Trotterization can be used to implement such an evol…