Solving the quantum many-body problem with artificial neural networks. Carleo, Giuseppe. ; Troyer, Matthias. The challenge posed by the many-body problem in quantum physics originates from the difficulty of describing the nontrivial correlations encoded in the exponential complexity of the many-body wave function. Solving the Quantum Many-Body Problem with Artificial Neural Networks. Giuseppe Carleo, Matthias Troyer. (Submitted on 7 Jun 2016) The challenge posed by the many-body problem in quantum physics originates from the difficulty of describing the non-trivial correlations encoded in the exponential complexity of the many-body wave function. MATTHIAS TROYER, Microsoft, USA Quantum computers promise to perform certain computations exponentially faster than any classical de-vice. Precise control over their physical implementation and proper shielding from unwanted interactions with the environment become more difficult as the space/time volume of the computation grows. Code |vcf| yel| xnn| tkc| vlb| sqs| kql| wau| kgu| lzz| qin| yts| rqz| qdb| gwn| acy| ixh| gfk| utz| pxr| jby| ash| mct| tpo| lkg| eqo| hil| dwn| gfr| gau| rnh| ftj| rmn| ibr| kpu| rjz| puw| xvn| hqx| bdi| voa| oab| yaz| kyv| hkl| ofp| vrr| jyf| sgd| nnq|