Tools of the Trade in 2021

Sylvia Biscoveanu explains how likelihood reweighting can help estimate the parameters of complex models at a fraction of the computational cost of traditional methods, empowering the analysis of gravitational-wave data.

Nadav Avidor explains how helium spin-echo spectroscopy can be used to probe high-temperature surface motion.

Luca Ghiringhelli introduces an AI toolkit that can be used with materials databases to discover new materials, or new properties of known materials.

M. Chandler Bennett discusses the benefits of quantum Monte Carlo methods and describes the features of the open-source code QMCPACK.

Sebastian Scherg introduces radio-frequency dressing with two-component fermions in optical lattices, a new tool in the quantum simulation toolbox.

Extremely stable laser sources are essential for high-precision experiments, such as interferometric gravitational wave detectors. Marina Trad Nery explains how to use radiation pressure to measure and stabilize power fluctuations in a laser beam.

Thomas Chalopin explains how optical superlattices enhance quantum gas microscopy by enabling the preparation of low-temperature samples and the simulation of exotic models with single-site resolution.

Christie Chiu explains how superconducting quantum circuits can be used to simulate materials with and without real-life counterparts.

Benjamin Nachman discusses the OmniFold algorithm, which combines detector simulations with machine learning to correct detector distortions.

Tom Vincent explains how scanning near-field infrared microscopy can be combined with other techniques to probe nanomaterials.

James Spencer explains how deep neural networks can approximate many-electron wavefunctions used in variational quantum Monte Carlo, introducing the Fermionic Neural Network or FermiNet.

Eliezer Estrecho provides tips on using lasers to trap and manipulate quantum fluids

Iolanda Di Bernardo describes how to depth profile samples using angle-resolved and energy-resolved photoemission spectroscopy.

Jose Garcia introduces LSQuant, an initiative to provide user support and training in linear scaling quantum transport methods.

Zengji Yue explains how to use ionic gating for ion intercalation in layered materials.

Johann Brehmer explains how simulation-based inference is used in particle physics and how tools such as the open-source Python library MadMiner can enhance the capabilities of data analysis.

Filippo Vicentini introduces the open-source Python toolkit NetKet, which implements machine learning methods for the study of quantum many body physics.