The recent success of machine learning (ML) has dramatically benefited from the exponential growth of ML model capacity. However, the enormous capacity of ML models also leads to a significantly highe...
Consider a regression problem where the learner is given a large collection of d-dimensional data points but can only query a small subset of the real-valued labels. How many queries are needed to obt...
Topological quantum memory can protect information against local errors up to finite error thresholds. Such thresholds are usually determined via the decoding algorithms rather than the intrinsic prop...
Simulation of quantum many-body systems is extremely challenging, as computational resources (time, memory) grow exponentially with system size. In this talk, I will introduce one classical and one qu...
Most cloud facilities operate at very low utilization. Naive colocation of more workloads on the same server node leads to severe quality-of-service (QoS) degradation of cloud services. It is challeng...
Measurement-induced phase transitions (MIPT) have attracted increasing attention due to the rich phenomenology of entanglement structures and their relation with quantum information processing. Since ...