Adaptive POVM implementations and measurement error mitigation strategies for near-term quantum devices

• URL: http://arxiv.org/abs/2208.07817v1
• Date: Tue, 16 Aug 2022 16:05:40 GMT
• Title: Adaptive POVM implementations and measurement error mitigation strategies for near-term quantum devices
• Authors: Adam Glos and Anton Nyk\"anen and Elsi-Mari Borrelli and Sabrina Maniscalco and Matteo A. C. Rossi and Zolt\'an Zimbor\'as and Guillermo Garc\'ia-P\'erez
• Abstract summary: We present adaptive measurement techniques tailored for variational quantum algorithms on near-term small and noisy devices. Our numerical simulations clearly indicate that the presented strategies can significantly reduce the number of needed shots to achieve chemical accuracy in variational quantum eigensolvers.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present adaptive measurement techniques tailored for variational quantum algorithms on near-term small and noisy devices. In particular, we generalise earlier "learning to measure" strategies in two ways. First, by considering a class of adaptive positive operator valued measures (POVMs) that can be simulated with simple projective measurements without ancillary qubits, we decrease the amount of required qubits and two-qubit gates. Second, by introducing a method based on Quantum Detector Tomography to mitigate the effect of noise, we are able to optimise the POVMs as well as to infer expectation values reliably in the currently available noisy quantum devices. Our numerical simulations clearly indicate that the presented strategies can significantly reduce the number of needed shots to achieve chemical accuracy in variational quantum eigensolvers, thus helping to solve one of the bottlenecks of near-term quantum computing.

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