Random driving on a 78-qubit processor reveals controllable prethermal plateau

Time-dependent driving has become a powerful tool for creating novel nonequilibrium phases such as discrete time crystals and ...

Bjerksund-Stensland Model: A Key Tool for Pricing American Options

The Bjerksund-Stensland model is a key method for pricing American options. It helps investors determine optimal times for exercising options with dividends considered.
IEEE

Adversarial Attack and Defense on Discrete Time Dynamic Graphs

Abstract: Graph learning methods have achieved remarkable performance in various domains such as social recommendation, financial fraud detection, and so on. In real applications, the underlying graph ...
IEEE

Numerical Modeling for 250 nm DUV LEDs With Discrete p-type Functional Layers to Manage Both Carrier and Photon Transport

Abstract: Deep-ultraviolet light-emitting diodes (DUV LEDs) are encountering low external quantum efficiency (EQE) and light output power (LOP) due to the strong optical absorption to DUV light and ...
GitHub

DeFoG: Discrete Flow Matching for Graph Generation

A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...
GitHub

Semantically Consistent Discrete Diffusion for 3D Biological Graph Generation

This repository contains the official code for our MICCAI 2025 paper, “Semantically Consistent Discrete Diffusion for 3D Biological Graph Generation.” We introduce a discrete diffusion framework that ...