Exploring Measurement and Feedforward-Assisted Quantum Metrology

ORAL

Abstract

A multitude of recent studies have proposed and demonstrated the use of mid-circuit measurements and feedforward to efficiently prepare entangled states on digital quantum platforms. Here, we examine the possible role of mid-circuit measurements and feedforward in a quantum metrology context. We consider the classic phase shift estimation problem, which is standard quantum limited on single qubits but enjoys Heisenberg scaling on GHZ states with collective measurements. It is known that unitary GHZ state preparation requires linear circuit depth on a linear nearest-neighbour qubit connectivity topology, but this complexity can be reduced to constant depth with measurements and feedforward. More broadly, we investigate circuit structures that interpolate between the unitary and measurement-based extremes, on both the pre- and post-processing portions of the experiment circuits. We show in a simplified setting that different families of such circuits are preferable for quantum metrology depending on noise characteristics. We investigate the applicability of measurement-assisted circuits for metrology on present-day quantum devices.

* This research is supported by the National Research Foundation, Singapore and the Agency for Science, Technology and Research (A*STAR) under its Quantum Engineering Programme (NRF2021-QEP2-02-P03), A*STAR (#21709), and A*STAR under the Central Research Fund (CRF) Award for Use-Inspired Basic Research (UIBR).

Presenters

  • Jin Ming Koh

    Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Singapore, Caltech

Authors

  • Jin Ming Koh

    Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Singapore, Caltech

  • Lorcán O Conlon

    Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore 138634, Singapore

  • Dax Enshan Koh

    Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Singapore

  • Syed M Assad

    Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore 138634, Singapore

  • Jayne Thompson

    Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Singapore

  • Yunlong Xiao

    Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Singapore

  • Jun Ye

    Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Singapore