Colloquium: Dr. Yanzhu Chen | Virginia Tech
In-Person PHYS 401
Location
Physics : 401
Date & Time
April 8, 2024, 11:00 am – 12:00 pm
Description
TITLE: "Moving the barrier to practical quantum computing on two fronts”
ABSTRACT: 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. First, I will 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. Then I will present a new method for characterizing and mitigating correlated noise, a ubiquitous and especially challenging type of noise that evades most existing error mitigation strategies.
ABSTRACT: 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. First, I will 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. Then I will present a new method for characterizing and mitigating correlated noise, a ubiquitous and especially challenging type of noise that evades most existing error mitigation strategies.
