Petascale Quantum Simulations

Ab-initio methods using Quantum Monte Carlo.

Quantum Physics

Optics, Ions, Superconductivity, Nanotechnology, Materials, High Energy, Nuclear/Atomic, Condensed Matter...

Quantum Chemistry

Molecular Dynamics, Energies, Thermal Rates...

Quantum Biology

Proteomics, Drug Discovery, Genetics & Genomics...

Classical Simulations

Exact calculations, Mean-field Theory, Dynamical Mean-Field Theory, Tensor Network Theory, Density Functional Theory (DFT), Quantum Monte Carlo.

Digital Simulations

A Digital Quantum Simulator is an envisioned quantum device that can be programmed to efficiently simulate any other local system. It has an integrated Classical Host Computer. And works by implementing and executing Quantum Gates & Quantum Circuits.

Analog Simulations

Special purpose, analog quantum simulators designed to solve specific problems, such as how room-temperature superconductors work or how a particular protein folds.

We can create a simple physical system that obeys the same laws of motion as the system I’m trying to model—mixing nitrogen, oxygen, and hydrogen in a tank, for example. What goes on inside the tank is a real-world computation that tells me something about atmospheric turbulence under certain conditions.

It is the same with an analog quantum simulator—I use one controllable physical system to simulate another. For example, successfully simulating a superconductor with such a device would reveal the quantum mechanics of high-temperature superconductivity. That could lead to the manufacture of non-brittle superconducting materials for many uses, including building less-fragile quantum circuits.Hopefully, we can learn how to build a robust universal digital computer by experimenting with analog simulators.

Efficiency, Scale, Precision & Accuracy

For most problems we can get either precision, accuracy, efficiency or scale, for some problems we can get two, three or all four.