AG Quantum Optics and Spectroscopy

Quantum simu­la­tors get error bars

Researchers have devel­oped a method for deter­mining the accu­racy of quantum simu­la­tions. The new method not only recon­structs the dynamics of a quantum system from exper­i­mental data, but can also quan­tify the uncer­tainty of the predic­tions derived from it. The veri­fi­ca­tion method was demon­strated in Inns­bruck, Austria, on an ion-trap quantum computer with up to 51 qubits.

Not all quantum measure­ments are created equal

Proving that one quantum measure­ment is more powerful than another has long been diffi­cult. Physi­cists from Hein­rich Heine Univer­sity Düssel­dorf, Lund Univer­sity, and the Univer­sity of Inns­bruck have now devel­oped and demon­strated a simple tech­nique to certify that a certain class of measure­ments has prop­er­ties that cannot be mimicked by simpler means.

Quan­tum com­put­ing with­out inter­rup­tions

Mid-circuit measure­ments are one of the biggest prac­tical hurdles in quantum error correc­tion on encoded qubits. Researchers in Inns­bruck and Aachen have now proposed and exper­i­men­tally demon­strated that a universal fault-tolerant quantum algo­rithm can be exe­cuted without such measure­ments.

Welcome Felicia Matera

Welcome Feli­cia! Felicia is currently pursuing her Master's degree in Physics of complex systems at Politec­nico di Torino, where she also completed her Bach­e­lor's degree in Phys­ical Engi­neer­ing. For her Master’s thesis she joined the QCosmo group, where she will work on the molec­ular injec­tion set up for quantum logic spec­troscopy.

Walter Hörmann receives his masters

Walter success­fully finished his masters with his thesis defense on Addressing of indi­vidual Barium ions for quantum infor­ma­tion processing.

Congrat­u­la­tions, Walter!

Welcome Tiago Farias

Tiago Farias is a post­doc­toral researcher in quantum comput­ing, with research inter­ests span­ning quantum algo­rithms and quantum machine learn­ing. His current work in Inns­bruck inves­ti­gates machine-learning-based approaches for quantum error miti­ga­tion, with the goal of improving the accu­racy and reli­a­bility of compu­ta­tions performed on noisy quantum devices.