5 citations · 8 across the 6 of their papers we have counts for
6 papers
Distributions of Noisy Expectation Values over Sets of Measurement Operators
Matthew Duschenes, Roger G. Melko, Juan Carrasquilla +1
Expectation values of measurement operators, interpreted as measurement probabilities, arise frequently throughout quantum algorithms. When quantum states are randomly distributed,…
Moments of Quantum Channel Ensembles
Matthew Duschenes, Diego García-Martín, Zoë Holmes +1
Moments of ensembles of unitaries play a central role in quantum information theory as they capture the statistical properties of dynamics of systems with some form of randomness.…
Characterization of overparametrization in the simulation of realistic quantum systems
Matthew Duschenes, Juan Carrasquilla, Raymond Laflamme
Quantum computing devices require exceptional control of their experimental parameters to prepare quantum states and simulate other quantum systems. Classical optimization procedur…
mechanoChemML: A software library for machine learning in computational materials physics
X. Zhang, G. H. Teichert, Z. Wang +7
We present mechanoChemML, a machine learning software library for computational materials physics. mechanoChemML is designed to function as an interface between platforms that are…
Reduced order models from computed states of physical systems using non-local calculus on finite weighted graphs
Matthew Duschenes, Krishna Garikipati
Partial differential equation-based numerical solution frameworks for initial and boundary value problems have attained a high degree of complexity. Applied to a wide range of phys…
The Graph Theoretic Approach for Nodal Cross Section Parameterization
Brendan Kochunas, Krishna Garikipati, Matthew Duschenes +1
Presently, models for the parameterization of cross sections for nodal diffusion nuclear reactor calculations at different conditions using histories and branches are developed fro…