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arXiv:2110.04210 · Journal of Mathematical Physics

On the universality and membership problems for quantum gates

Lorenzo Mattioli, Adam Sawicki

Published Apr 1, 2023• 3 citations
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Abstract

We study the universality and membership problems for gate sets consisting of a finite number of quantum gates. Our approach relies on the techniques from compact Lie group theory. We also introduce an auxiliary problem called the subgroup universality problem, which helps in solving some instances of the membership problem and can be of interest on its own. The resulting theorems are mainly formulated in terms of centralizers and the adjoint representations of a given set of quantum gates.

DOI
10.1063/5.0106615

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We study the universality and membership problems for gate sets consisting of a finite number of quantum gates. Our approach relies on the techniques from compact Lie group theory. We also introduce an auxiliary problem called the subgroup universality problem, which helps in solving some instances of the membership problem and can be of interest on its own. The resulting theorems are mainly formulated in terms of centralizers and the adjoint representations of a given set of quantum gates.
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Composing ppp-adic qubits: from representations of SO(3)p_pp​ to entanglement and universal quantum logic gates
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A 1-qubit gate is defined as an element of the unitary group U(2)U(2)U(2), the group of complex valued matrices whose conjugate transposes equal their inverses. In quantum computing, it is important to be able to find good approximations of 1-qubit gates by using a dense group generated by a universal subset of the projective special unitary group G=PSU(2)G=PSU(2)G=PSU(2). Here, PSU(2)PSU(2)PSU(2) is the group formed by taking all elements of U(2)U(2)U(2) with determinant 1 and taking the quotient of this subgroup by the group {I,−I}\{I,-I\}{I,−I} where III is the identity matrix. In this http URL [1], Sarnak recently studied this problem motivated by developing a continued fraction type algorithm for this problem. The continued fraction algorithm is the fastest known algorithm to approximate real numbers by the dense subset of rational numbers. In this report, we study the efficiency of the approximation of GGG by using a dense group generated by a universal subset of GGG. The measure of the efficiency K(g)K(g)K(g) of an arbitrary universal subset ggg is defined in [1] and satisfies K(g)⩾1K(g)\geqslant 1K(g)⩾1. ggg is more efficient when K(g)K(g)K(g) is closer to 111. We address some open problems posed by Sarnak in [1]. This report forms the basis of the shorter preprint [LD].