4 papers
Accelerating Simulation of Quantum Circuits under Noise via Computational Reuse
Meng Wang, Swamit Tannu, Prashant J. Nair
To realize the full potential of quantum computers, we must mitigate qubit errors by developing noise-aware algorithms, compilers, and architectures. Thus, simulating quantum progr…
Effect Handlers for Programmable Inference
Minh Nguyen, Roly Perera, Meng Wang +1
Inference algorithms for probabilistic programming are complex imperative programs with many moving parts. Efficient inference often requires customising an algorithm to a particul…
Modular Probabilistic Models via Algebraic Effects
Minh Nguyen, Roly Perera, Meng Wang +1
Probabilistic programming languages (PPLs) allow programmers to construct statistical models and then simulate data or perform inference over them. Many PPLs restrict models to a p…
Scaling limit of a long-range random walk in time-correlated random environment
Guanglin Rang, Jian Song, Meng Wang
This paper concerns a long-range random walk in random environment in dimension , where the environmental disorder is independent in space but has long-range correlations in t…