Read more A major hurdle for quantum algorithms for linear systems of equations, and for quantum simulation algorithms, is the difficulty to find simple circuits for arithmetic.Prior approaches typically led to a large overhead in terms of quantum memory, required operations, or implementation error.
Read more We show how a quantum computer can be employed to elucidate reaction mechanisms in complex chemical systems, using the open problem of biological nitrogen fixation in nitrogenase as an example.
We discuss how quantum computers can augment classical-computer simulations for such problems, to significantly increase their accuracy and enable hitherto intractable simulations. Read more We are pleased to announce that the American Physical Society (APS) journal, Physical Review Letters, has selected the Station Q paper, Transport Signatures of Quasiparticle Poisoning in a Majorana Island, as an Editors’ Suggestion.
Our new paper, Magic State Distillation with Low Space Overhead and Optimal Asymptotic Input Count, provides a family of solutions to this need, allowing for a wide range...
Read more Working together, ETH Zurich and Microsoft Qu Ar C researchers have provided the first application of machine-learning techniques to solve outstanding problems in quantum physics.
, is internationally renowned for his pioneering scholarship and activism on issues of gender, race and violence.