Quantum Quasi-Monte Carlo algorithm for out-of-equilibrium Green functions at long times.

The Quantum Quasi-Monte Carlo (QQMC) algorithm allows to compute observables in a system of strongly correlated fermions driven out of equilibrium by an external time-dependent field or a voltage bias. It can produce non perturbative results, and its computational cost is independent of time after a quench. Potential applications are numerous, ranging from the design of nanoelectronic devices, to transport properties of correlated materials, or even the characterization of quantum chaos. We will show how using quasi-Monte Carlo improved its performances compared to previous Markov-chain Monte Carlo, and illustrate with applications.