Working together, ETH Zurich and Microsoft QuArC researchers have provided the first application of machine-learning techniques to solve outstanding problems in quantum physics. The…
A major hurdle for quantum algorithms for linear systems of equations, and for quantum simulation algorithms, is the difficulty to find simple circuits for…
QCoDeS is an open source data acquisition framework that was created by distilling the homegrown solutions used in Station Q’s experimental labs, and infused…
As its name implies, the poisoning of Majorana devices by normal electrons is fatal to topological computation, so much effort is now focused on characterizing…
The first signature of Majorana physics, identified experimentally at TU Delft in 2012, focused on a characteristic conductance peak at zero voltage. It bore…
Majorana devices will generally be much more complicated than the single-junction or single quantum dot Majorana devices that have been realized in the literature…
Last year saw a materials breakthrough, with the realization of a two-dimensional heterostructure combining superconductor and semiconductor layers. (See journals.aps.org/prb/abstract/10.1103/PhysRevB.93.15540.) Now, as shown in a…
Generation of reversible circuits from high-level code is an important problem in the compilation flow of quantum algorithms to lower-level hardware. The instantiation of…
In the paper, “Double semions in arbitrary dimension,” published in Communications in Mathematical Physics, Michael Freedman and Matthew Hastings present a new construction of topological…
In this paper, we show by computer simulations that a new material, which is a specific combination of the two semiconductors InAs and InSb…
In this paper, published in Physical Review A, we show how to greatly improve success at solving Constraint Satisfaction Problems on a quantum computer…
Topological materials can yield quasiparticles that behave in a manner similar to elementary particles that are part of the standard model of particle physics.…
