{"id":313025,"date":"2018-11-06T17:12:20","date_gmt":"2018-11-07T01:12:20","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=313025"},"modified":"2018-11-06T17:12:20","modified_gmt":"2018-11-07T01:12:20","slug":"combinatorial-approaches-dynamical-decoupling","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/combinatorial-approaches-dynamical-decoupling\/","title":{"rendered":"Combinatorial Approaches to Dynamical Decoupling"},"content":{"rendered":"

In this chapter we present an introduction to dynamical decoupling techniques. We focus on the construction of efficient schemes for dynamical decoupling and we highlight some combinatorial constructions. Efficiency of decoupling schemes is measured in terms of the number of control operations to be applied to the system. This number should be small, ideally a polynomial in the number of qubits in the system. If we assume that the quantum system is governed by a general Hamiltonian H_S, having interactions involving any subset of the qubits, then any scheme that achieves decoupling of H_S is necessarily inefficient in the above sense. The efficient schemes we consider here arise in physically realistic situations where there are much more stringent restrictions on the types of interactions. The most important example is the case of pair-interaction Hamiltonians. These Hamiltonians can be expressed as sums of interaction terms that involve at most 2 qubits.<\/p>\n","protected":false},"excerpt":{"rendered":"

In this chapter we present an introduction to dynamical decoupling techniques. We focus on the construction of efficient schemes for dynamical decoupling and we highlight some combinatorial constructions. Efficiency of decoupling schemes is measured in terms of the number of control operations to be applied to the system. This number should be small, ideally a 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