Description:

Quantum computing has long promised to speed up certain tasks that are intractable on classical computers. However, quantum devices are inherently noisy, with coherence times limited by unwanted interactions between the quantum processor and its environment. Overcoming this limitation requires new techniques for recovering useful information from quantum computations despite the noise, as well as new algorithms with enhanced speed and resource efficiency. In this talk, I will describe recent advances on both these fronts. I will present new methods for characterizing and mitigating correlated noise, a ubiquitous and especially challenging type of noise that evades most existing error mitigation strategies. I will also present a new class of adaptive, quantum-classical hybrid algorithms that outperform previous quantum simulation algorithms in terms of both speed and resources, bringing practical quantum computing on near-term devices closer to reality.

Speaker: Yanzhu Chen, Postdoctoral Associate, Virginia Tech

Host: Professor Jens Koch