Dartmouth Events

Abstract: The susceptibility of quantum systems to noise remains a major obstacle to realizing their full potential for computational tasks. While threshold theorems guarantee that arbitrarily long quantum computations can be performed reliably provided each component's noise level remains below a certain threshold, meeting the overhead and noise-level requirements poses significant technological challenges. Developing methods to tame quantum noise not only supports technological progress but also enhances our understanding of decoherence processes and the fundamental principles governing their control. In this talk, I review some strategies to combat quantum noise. I discuss techniques ranging from those closer to the hardware level, such as randomized dynamical decoupling and energy-penalty error suppression, to more abstract developments in designing low-overhead fault-tolerant quantum circuits using flag qubits. Finally, I discuss how tailoring quantum codes to dominant error sources in physical systems can achieve higher thresholds and lower resource overheads.  

Hosted by Professor Lorenza Viola