Mitigating correlated noise in quantum machines
Abstract
Today's quantum computers overwhelmingly suffer from complex noise, often referred to as non-Markovian or correlated noise. It has been a formidable challenge to mitigate or even characterize such noise and remains a central obstacle in the way of building fault-tolerant quantum computers. This proposed project will develop tools to suppress complex noise. In the last five years, PI Modi has developed a comprehensive theory to characterize complex correlated noise. Recently, PI Modi and PI HIll tested this theory on several IBM quantum computers to nd remarkable agreement between theory and experiment, with 99.9% fidelity for the characterization of non-Markovian noise. High- fidelity noise-characterization is the fi rst step towards being able to mitigate and control noise. In this proposed project, we will design control pulses, conditionally on the past gates, to maneuver around complex noise. The main risk with this approach is the high degree of complexity. We will tame this complexity by leveraging the recent theoretical advances that quantify the length and strength of non-Markovian noise. Moreover, we have tailored machine learning methods to characterize the noise, which too will expedite the task of pulse design. The proposed project will result in cleaner quantum computers with longer coherence times, which in turn will play a crucial role in the design of future machines.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 21, 2022
- Source ID
- FA95502110023XX0
Entities
People
- Kavan Modi
Organizations
- Air Force Office of Scientific Research
- Monash University
- United States Air Force