6 papers
A multi-dimensional quantum estimation and model learning framework based on variational Bayesian inference
Federico Belliardo, Erik M. Gauger, Tim H. Taminiau +2
The advancement and scaling of quantum technology has made the learning and identification of quantum systems and devices in highly-multidimensional parameter spaces a pressing tas…
Discovery of energy landscapes towards optimized quantum transport: Environmental effects and long-range tunneling
Maggie Lawrence, Matthew Pocrnic, Erin Fung +3
Carrier transport in quantum networks is governed by a variety of factors, including network dimensionality and connectivity, on-site energies, couplings between sites and whether…
Unifying Collective Effects in Emission, Absorption, and Transfer
Adesh Kushwaha, Erik M. Gauger, Ivan Kassal
Collective effects, such as superradiance and subradiance are central to emerging quantum technologies -- from sensing to energy storage -- and play an important role in light-harv…
Virtual Gates Enabled by Digital Surrogate of Quantum Dot Devices
Alexander Lidiak, Jacob Swain, David L. Craig +12
Advances in quantum technologies are often limited by slow device characterization, complex tuning requirements, and scalability challenges. Spin qubits in electrostatically define…
Learning the dynamics of Markovian open quantum systems from experimental data
Stewart Wallace, Yoann Altmann, Brian D. Gerardot +2
We present a Bayesian algorithm to identify generators of open quantum system dynamics, described by a Lindblad master equation, that are compatible with measured experimental data…
Engineering dipole-dipole couplings for enhanced cooperative light-matter interactions
Adam Burgess, Madeline C. Waller, Erik M. Gauger +1
Cooperative optical effects are enabled and controlled by interactions between molecular dipoles, meaning that their mutual orientation is of paramount importance to, for example,…