12 citations · 35 across the 18 of their papers we have counts for
6 papers · 1 filter
Minimalistic and Scalable Quantum Reservoir Computing Enhanced with Feedback
Chuanzhou Zhu, Peter J. Ehlers, Hendra I. Nurdin +1
Quantum Reservoir Computing (QRC) leverages quantum systems to perform complex computational tasks with exceptional efficiency and reduced energy consumption. We introduce a minima…
Optical Gottesman-Kitaev-Preskill qubit generation via approximate squeezed coherent state superposition breeding
Andrew J. Pizzimenti, Daniel Soh
Gottesman-Kitaev-Preskill (GKP) qubits, known for their exceptional error-correction capabilities, are highly coveted in quantum computing. However, generating optical GKP qubits h…
Stochastic Reservoir Computers
Peter J. Ehlers, Hendra I. Nurdin, Daniel Soh
Reservoir computing is a form of machine learning that utilizes nonlinear dynamical systems to perform complex tasks in a cost-effective manner when compared to typical neural netw…
Practical Few-Atom Quantum Reservoir Computing
Chuanzhou Zhu, Peter J. Ehlers, Hendra I. Nurdin +1
Quantum Reservoir Computing (QRC) harnesses quantum systems to tackle intricate computational problems with exceptional efficiency and minimized energy usage. This paper presents a…
Error analysis in large area multi-Raman pulse atom interferometry due to undesired spontaneous decay
Philip Chrostoski, Scott Bisson, David Farley +2
Despite the fact that atom interferometry has been a successful application of quantum sensing, a major topic of interest is the further improvement of the sensitivity of these dev…
Ab-Initio Calculations of Nonlinear Susceptibility and Multi-Phonon Mixing Processes in a 2DEG-Piezoelectric Heterostructure
Eric Chatterjee, Alexander Wendt, Daniel Soh +1
Solid-state elastic-wave phonons are a promising platform for a wide range of quantum information applications. An outstanding challenge and enabling capability in harnessing phono…