17 citations · 21 across the 7 of their papers we have counts for
7 papers
3D tomography of exchange phase in a Si/SiGe quantum dot device
Dylan Albrecht, Sarah Thompson, N. Tobias Jacobson +1
The exchange interaction is a foundational building block for the operation of spin-based quantum processors. Extracting the exchange interaction coefficient , as a…
Simulating the Open System Dynamics of Multiple Exchange-Only Qubits using Subspace Monte Carlo
Tameem Albash, N. Tobias Jacobson
We propose a Monte Carlo based method for simulating the open system dynamics of multiple exchange-only (EO) qubits. In the EO encoding, the total spin projection quantum number al…
Multi-level charge fluctuations in a Si/SiGe double quantum dot device
Dylan Albrecht, Feiyang Ye, N. Tobias Jacobson +1
Discrete charge fluctuations, routinely observed in semiconductor quantum dot devices, may contribute significantly to device drift and errors resulting from qubit miscalibration.…
Temporal Coarse Graining for Classical Stochastic Noise in Quantum Systems
Tameem Albash, Steve Young, N. Tobias Jacobson
Simulations of quantum systems with Hamiltonian classical stochastic noise can be challenging when the noise exhibits temporal correlations over a multitude of time scales, such as…
Model validation and error attribution for a drifting qubit
Malick A. Gaye, Dylan Albrecht, Steve Young +2
Qubit performance is often reported in terms of a variety of single-value metrics, each providing a facet of the underlying noise mechanism limiting performance. However, the value…
Characterization of individual charge fluctuators in Si/SiGe quantum dots
Feiyang Ye, Ammar Ellaboudy, Dylan Albrecht +3
Electron spins in silicon quantum dots are excellent qubits due to their long coherence times, scalability, and compatibility with advanced semiconductor technology. Although high…
Quadratic constrained mixed discrete optimization with an adiabatic quantum optimizer
Rishabh Chandra, N. Tobias Jacobson, Jonathan E. Moussa +2
We extend the family of problems that may be implemented on an adiabatic quantum optimizer (AQO). When a quadratic optimization problem has at least one set of discrete controls an…