SC20 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

VERITAS: Accurately Estimating the Correct Output on Noisy Intermediate-Scale Quantum Computers

Authors: Tirthak Patel and Devesh Tiwari (Northeastern University)

Abstract: Noisy Intermediate-Scale Quantum (NISQ) machines are increasingly being used to develop quantum algorithms and establish use cases for quantum computing. These devices, however, are highly error-prone and produce output which can be far from the correct output of the quantum algorithm. In this paper, we propose VERITAS, an end-to-end approach toward designing quantum experiments, executing experiments and correcting outputs produced by quantum circuits post-execution, such that the correct output of the quantum algorithm can be accurately estimated.

Back to Technical Papers Archive Listing