



01749nas a2200169   4500008004100000245009500041210006900136260001400205520115200219653002701371653003101398653005201429100001701481700002101498700002301519856003701542       2022                        eng d00aExtracting Wilson loop operators and fractional statistics from a single bulk ground state0 aExtracting Wilson loop operators and fractional statistics from   c9/28/20223 a<p>An essential aspect of topological phases of matter is the existence of Wilson loop operators that keep the ground state subspace invariant. Here we present and implement an unbiased numerical optimization scheme to systematically find the Wilson loop operators given a single ground state wave function of a gapped Hamiltonian on a disk. We then show how these Wilson loop operators can be cut and glued through further optimization to give operators that can create, move, and annihilate anyon excitations. We subsequently use these operators to determine the braiding statistics and topological twists of the anyons, yielding a way to fully extract topological order from a single wave function. We apply our method to the ground state of the perturbed toric code and doubled semion models with a magnetic field that is up to a half of the critical value. From a contemporary perspective, this can be thought of as a machine learning approach to discover emergent 1-form symmetries of a ground state wave function. From an application perspective, our approach can be relevant to find Wilson loop operators in current quantum simulators.</p>10aFOS: Physical sciences10aQuantum Physics (quant-ph)10aStrongly Correlated Electrons (cond-mat.str-el)1 aCian, Ze-Pei1 aHafezi, Mohammad1 aBarkeshli, Maissam  uhttps://arxiv.org/abs/2209.1430201587nas a2200181   4500008004100000245010600041210006900147260001400216520099600230653002701226653003101253100001801284700001701302700001501319700001701334700001701351856003701368       2022                        eng d00aShadow Distillation: Quantum Error Mitigation with Classical Shadows for Near-Term Quantum Processors0 aShadow Distillation Quantum Error Mitigation with Classical Shad  c3/14/20223 a<p>Mitigating errors in quantum information processing devices is especially important in the absence of fault tolerance. An effective method in suppressing state-preparation errors is using multiple copies to distill the ideal component from a noisy quantum state. Here, we use classical shadows and randomized measurements to circumvent the need for coherent access to multiple copies at an exponential cost. We study the scaling of resources using numerical simulations and find that the overhead is still favorable compared to full state tomography. We optimize measurement resources under realistic experimental constraints and apply our method to an experiment preparing Greenberger-Horne-Zeilinger (GHZ) state with trapped ions. In addition to improving stabilizer measurements, the analysis of the improved results reveals the nature of errors affecting the experiment. Hence, our results provide a directly applicable method for mitigating errors in near-term quantum computers.</p>10aFOS: Physical sciences10aQuantum Physics (quant-ph)1 aSeif, Alireza1 aCian, Ze-Pei1 aZhou, Sisi1 aChen, Senrui1 aJiang, Liang  uhttps://arxiv.org/abs/2203.07309