Abstract. Pseudo-random operators consist of sets of operators that exhibit many of the important statistical features of uniformly distributed random operators. Such pseudo-random sets of operators are most useful whey they may be parameterized and generated on a quantum processor in a way that requires exponentially fewer resources than direct implementation of the uniformly random set. Efficient pseudo-random operators can overcome the exponential cost of random operators required for quantum communication tasks such as super-dense coding of quantum states and approximately secure quantum data-hiding, and enable efficient stochastic methods for noise estimation on prototype quantum processors. This paper summarizes some recently published work demonstrating a random circuit method for the implementation of pseudorandom unitary operators on a quantum processor [Emerson et al., Science 302:2098(Dec. 19, 2003], and further elaborates the theory and applications of pseudo-random states and operators.
We show that a many-body Hamiltonian that corresponds to a system of fermions
interacting through a pairing force is an integrable problem, i.e. it has as
many constants of the motion as degrees of freedom. At the classical level this
implies that the Time-dependent Hartree-Fock- Bogoliubov dynamics is integrable
and at the quantum level that there are conserved operators of two-body
character which reduce to the number operators when the pairing strength
vanishes. We display these operators explicitly and study in detail the
three-level example.Comment: 14 pages, latex, 2 figures, to be published in Nuclear Physics
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.