Kavli Affiliate: Eliska Greplova| First 5 Authors: D. O. Oriekhov, D. O. Oriekhov, , , | Summary:Much attention has been devoted to the use of machine learning to approximate physical concepts. Yet, due to challenges in interpretability of machine learning techniques, the question of what physics machine learning models are able to learn remains open. […]
Kavli Affiliate: Lieven Vandersypen| First 5 Authors: Kenji Capannelli, Kenji Capannelli, , , | Summary:Solid-state qubits are sensitive to their microscopic environment, causing the qubit properties to fluctuate on a wide range of timescales. The sub-Hz end of the spectrum is usually dealt with by repeated background calibrations, which bring considerable overhead. It is thus […]
Kavli Affiliate: Andrea D. Caviglia| First 5 Authors: Giacomo Sala, Giacomo Sala, , , | Summary:The surface states of 3D topological insulators possess geometric structures that imprint distinctive signatures on electronic transport. A prime example is the Berry curvature, which controls electric frequency doubling via a higher order moment, called Berry curvature triple. In addition […]
Kavli Affiliate: Andrea D. Caviglia| First 5 Authors: Giacomo Sala, Giacomo Sala, , , | Summary:The surface states of 3D topological insulators possess geometric structures that imprint distinctive signatures on electronic transport. A prime example is the Berry curvature, which controls, for instance, electric frequency doubling via its higher order moments. In addition to the […]
Kavli Affiliate: Stephanie Wehner| First 5 Authors: Bethany Davies, Bethany Davies, , , | Summary:In the performance analysis of quantum networks, it is common to approximate bipartite entangled states as either being Bell-diagonal or Werner states. We refer to these as twirled approximations because it is possible to bring any state to such a form […]
Kavli Affiliate: Eliska Greplova| First 5 Authors: Thomas Spriggs, Thomas Spriggs, , , | Summary:We present a neural network wavefunction framework for solving non-Abelian lattice gauge theories in a continuous group representation. Using a combination of $SU(2)$ equivariant neural networks alongside an $SU(2)$ invariant, physics-inspired ansatz, we learn a parameterization of the ground state wavefunction […]
Kavli Affiliate: Herre Van Der Zant| First 5 Authors: Hanqing Liu, Hanqing Liu, , , | Summary:For the development of nanoscale electronics and photonics using atomically thin two-dimensional (2D) materials, it is important to realize van der Waals (vdW) interfaces with low thermal resistance, to minimize performance reduction caused by heat accumulation. However, characterizing the […]
Kavli Affiliate: Ronald Hanson| First 5 Authors: Julia M. Brevoord, Julia M. Brevoord, , , | Summary:Diamond tin-vacancy (SnV) centers are promising candidates for building quantum network nodes. However, their native photon emission at 619 nm is incompatible with metropolitan-scale networks operating at low-loss telecom wavelengths. To address this, we demonstrate highly efficient, low-noise quantum […]
Kavli Affiliate: Herre Van Der Zant| First 5 Authors: José Roberto de Toledo, José Roberto de Toledo, , , | Summary:Van der Waals heterostructures (vdWHs) composed of transition-metal dichalcogenides (TMDs) and layered magnetic semiconductors offer great opportunities to manipulate exciton and valley properties of TMDs. Here, we present magneto-photoluminescence (PL) studies in a WSe2 monolayer […]
Kavli Affiliate: Tim H. Taminiau| First 5 Authors: B. Varona-Uriarte, B. Varona-Uriarte, , , | Summary:The characterization of nuclear spin environments in solid-state devices plays an important role in advancing quantum technologies, yet traditional methods often demand long measurement times. To address this challenge, we extend our recently developed deep-learning-based SALI model (Signal-to-image ArtificiaL Intelligence) […]