Practical Verification of Quantum Properties in Quantum-Approximate-Optimization Runs

M. Sohaib Alam, Filip A. Wudarski, Matthew J. Reagor, James Sud, Shon Grabbe, Zhihui Wang, Mark Hodson, P. Aaron Lott, Eleanor G. Rieffel, and Davide Venturelli
Phys. Rev. Applied 17, 024026 – Published 9 February 2022

Abstract

In order to assess whether quantum resources can provide an advantage over classical computation, it is necessary to characterize and benchmark the nonclassical properties of quantum algorithms in a practical manner. In this paper, we show that using measurements in no more than three out of the possible 3N bases, one can not only reconstruct the single-qubit reduced density matrices and measure the ability to create coherent superpositions, but also possibly verify entanglement across all N qubits participating in the algorithm. We introduce a family of generalized Bell-type observables for which we establish an upper bound to the expectation values in fully separable states by proving a generalization of the Cauchy-Schwarz inequality, which may serve of independent interest. We demonstrate that a subset of such observables can serve as entanglement witnesses for states of the quantum-approximate-optimization algorithm for the MaxCut problem (QAOA MaxCut), and further argue that they are especially well tailored for this purpose by defining and computing an entanglement potency metric on witnesses. A subset of these observables also certifies, in a weaker sense, the entanglement in GHZ states, which share the Z2 symmetry of QAOA MaxCut. The construction of such witnesses follows directly from the cost Hamiltonian to be optimized, and not through the standard technique of using the projector of the state being certified. It may thus provide insights to construct similar witnesses for other variational algorithms prevalent in the noisy intermediate-scale quantum era. We demonstrate our ideas with proof-of-concept experiments on the Rigetti Aspen-9 chip for ansatz containing up to 24 qubits.

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  • Received 21 May 2021
  • Revised 20 September 2021
  • Accepted 10 December 2021

DOI:https://doi.org/10.1103/PhysRevApplied.17.024026

© 2022 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

M. Sohaib Alam1,2,3,*, Filip A. Wudarski2,3,†, Matthew J. Reagor1,‡, James Sud2,3, Shon Grabbe2, Zhihui Wang2,3, Mark Hodson1, P. Aaron Lott2,3, Eleanor G. Rieffel2, and Davide Venturelli2,3,§

  • 1Rigetti Computing, Berkeley, California 94701, USA
  • 2Quantum Artificial Intelligence Laboratory (QuAIL), NASA Ames Research Center, Moffett Field, California 94035, USA
  • 3USRA Research Institute for Advanced Computer Science (RIACS), Mountain View, California 94043, USA

  • *malam@usra.edu
  • filip.a.wudarski@nasa.gov
  • matt@rigetti.com
  • §dventurelli@usra.edu

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Vol. 17, Iss. 2 — February 2022

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