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

**Authors:** Adam Glos, Anton Nykänen, Elsi-Mari Borrelli, Sabrina Maniscalco, Matteo A. C. Rossi, Zoltán Zimborás, Guillermo García-Pérez  
**arXiv:** [2208.07817](https://arxiv.org/abs/2208.07817)  
**Date:** 2022-08-16  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2208.07817v1/

## Key points

- Paper introduces adaptive measurement techniques for variational quantum algorithms on small and noisy quantum devices
- Adaptive positive operator valued measures (POVMs) without ancillary qubits
- Novel approach using Quantum Detector Tomography to address noise effects
- Strategies reduce number of shots needed for chemical accuracy in variational quantum eigensolvers
- Breakthrough overcomes major challenge in near-term quantum computing
- Opens door for more efficient and reliable computations on imperfect hardware
- Findings hold promise for enhancing algorithm performance and accelerating progress towards practical applications

## Summary

The paper titled "Adaptive POVM implementations and measurement error mitigation strategies for near-term quantum devices" by Adam Glos, Anton Nykänen, Elsi-Mari Borrelli, Sabrina Maniscalco, Matteo A. C. Rossi, Zoltán Zimborás, and Guillermo García-Pérez introduces innovative adaptive measurement techniques for variational quantum algorithms on small and noisy quantum devices. The authors propose two advancements: a class of adaptive positive operator valued measures (POVMs) that can be implemented without ancillary qubits and a novel approach using Quantum Detector Tomography to address noise effects. These strategies significantly reduce the number of shots needed for chemical accuracy in variational quantum eigensolvers. This breakthrough overcomes a major challenge in near-term quantum computing and opens the door for more efficient and reliable computations on imperfect hardware. The findings hold promise for advancing the field by enhancing algorithm performance on existing devices and accelerating progress towards practical applications in various domains.