Stochastic processes are as ubiquitous throughout the quantitative sciences
as they are notorious for being difficult to simulate and predict. In this
letter we propose a unitary quantum simulator for discrete-time stochastic
processes which requires less internal memory than any classical analogue
throughout the simulation. The simulator's internal memory requirements equal
those of the best previous quantum models. However, in contrast to previous
models it only requires a (small) finite-dimensional Hilbert space. Moreover,
since the simulator operates unitarily throughout, it avoids any unnecessary
information loss. We provide a stepwise construction for simulators for a large
class of stochastic processes hence directly opening the possibility for
experimental implementations with current platforms for quantum computation.
The results are illustrated for an example process.Comment: 12 pages, 5 figure