Rahul Sarkar, Ewout van den Berg
Research in Mathematical Sciences
Noise in quantum computers can result in biased estimates of physical observables. Accurate bias-free estimates can be obtained using probabilistic error cancellation, an error-mitigation technique that effectively inverts well-characterized noise channels. Learning correlated noise channels in large quantum circuits, however, has been a major challenge and has severely hampered experimental realizations. Our work presents a practical protocol for learning and inverting a sparse noise model that is able to capture correlated noise and scales to large quantum devices. These advances allow us to demonstrate probabilistic error cancellation on a superconducting quantum processor, thereby providing a way to measure noise-free observables at larger circuit volumes.
Rahul Sarkar, Ewout van den Berg
Research in Mathematical Sciences
Zlatko K. Minev, Zaki Leghtas, et al.
npj Quantum Information
Małgorzata Bogdan, Ewout van den Berg, et al.
Annals of Applied Statistics
Pauline J. Ollitrault, Abhinav Kandala, et al.
PRResearch