Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

On this page you will find a listing of (selected) graduate course descriptions. Also see course listings for current semester. Office of the Registrar: Register for Classes Prerequisite: MTH 142 or ...

When trying to build a career in the quantum computing industry, you inevitably feel some anxiety. That is the question of whether quantum computing will truly emerge as an industry. Of course, ...

Independent Researcher, West Des Moines, IA, USA. Finally, we distinguish two operational stages of Chrono-Emergence. The first is the primordial generation of the time-density field—and hence ...

TeNPy (short for 'Tensor Network Python') is a Python library for the simulation of strongly correlated quantum systems with tensor networks. The philosophy of this library is to get a new balance of ...

Abstract: In the current NISQ (Noisy Intermediate-Scale Quantum) era, simulating and verifying noisy quantum circuits is crucial but faces challenges such as quantum state explosion and complex noise ...

The third quarter of 2025 was dominated by massive rounds for companies developing AI chips and quantum computers. Over $2.5 billion went to AI, with wafer-scale chip maker Cerebras leading the pack ...

We introduce efficient tensor network models for sequence processing motivated by correspondence to probabilistic graphical models, interpretability and resource compression. Inductive bias is ...

We are witnessing the rise of a completely new computing era. Within the next decade, a trillion-dollar-plus data center business is poised for transformation, powered by what we refer to as extreme ...

Developers can now take advantage of NVIDIA NIM packages to deploy enterprise generative AI, said NVIDIA CEO Jensen Huang. NVIDIA’s newest GPU platform is the Blackwell (Figure A), which companies ...