Qubit-Efficient Randomized Quantum Algorithms for Linear Algebra
PRX Quantum, vol. 5
Abstract
We propose a class of randomized quantum algorithms for the task of sampling from matrix functions, without the use of quantum block encodings or any other coherent oracle access to the matrix elements. As such, our use of qubits is purely algorithmic and no additional qubits are required for quantum data structures. Our algorithms start from a classical data structure in which the matrix of interest is specified in the Pauli basis. For N × N Hermitian matrices, the space cost is log ( N ) + 1 qubits and, depending on the structure of the matrices, the gate complexity can be comparable to state-of-the-art methods that use quantum data structures of up to size O ( N 2 ) , when considering equivalent end-to-end problems. Within our framework, we present a quantum linear system solver that allows one to sample properties of the solution vector, as well as algorithms for sampling properties of ground states and Gibbs states of Hamiltonians. As a concrete application, we combine these subroutines to present a scheme for calculating Green’s functions of quantum many-body systems. Published by the American Physical Society 2024
Authors 3
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Affiliation as printed
Department of Physics, Imperial College London
Department of Physics, Imperial College London, London SW7 2BW, United Kingdom
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California Institute of Technology · Amazon (United States)
Affiliation as printed
AWS Center for Quantum Computing
Institute for Quantum Information and Matter, Caltech, Pasadena, CA 91125
AWS Center for Quantum Computing, Pasadena, CA 91106, USA
Institute for Quantum Information and Matter, Caltech, Pasadena, CA 91125, USA
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RWTH Aachen University · Imperial College London
Affiliation as printed
Department of Computing, Imperial College London
Institute for Quantum Information, RWTH Aachen University
Department of Computing, Imperial College London, London SW7 2BW, United Kingdom
Institute for Quantum Information, RWTH Aachen University, 52056 Aachen, Germany
Cited by 21 stored of 20
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