Combining computer science with physics and biology to create breakthroughs that help the world.
About the team
Computer science and natural science are complementary: breakthroughs in one can lead to remarkable advances in the other. The goal of the Applied Science organization at Google is to cross-fertilize these two fields. There are four main efforts in Applied Science: Quantum Computing, Google Accelerated Science, Climate and Energy, and Scientific Computing Tools.
Quantum Computing uses advances in applied physics to push the state-of-the-art in computation. Google Accelerated Science and Climate and Energy do the opposite: they use the latest advances in machine learning and artificial intelligence to accelerate progress in natural sciences, including societally-important areas such as biomedical research and zero-carbon energy sources. Finally, we supply Scientific Computing Tools such as Colab to many internal groups to enhance their data and machine learning productivity.
Team focus summaries
Accelerated Science (GAS)
Our mission is to produce breakthroughs in the natural sciences by applying Google technologies, including machine learning, iterative prediction/experimentation in large combinatorial spaces, and large scale analysis and computation. We believe these will enable more effective high throughput research in many domains. Using Google's unique expertise, technology and scale, we collaborate with world-class institutions on challenges with large scientific and humanitarian benefit, working closely with leading scientists who have deep domain expertise and proven experimental infrastructure.
The Quantum AI Lab is building quantum processors and algorithms to dramatically accelerate computational tasks for machine intelligence. We are developing quantum algorithms with a particular focus on those which can already run on today’s pre-error corrected quantum processors. Quantum algorithms for optimization, sampling, and quantum simulation hold the promise of dramatic speedups over the fastest classical computers.
Climate and Energy
The Climate and Energy group is working on finding technologies that can displace large amount of fossil fuel usage. To date, we have partnered with a fusion company, TAE, to determine how fusion energy can be commercially viable. We have also built techno-economic models of the electricity grid.
Bristletone's purpose is to provide a testbed for research into system error rates and scalability of our qubit technology, as well as applications in quantum simulation, optimization, and machine learning.
OpenFermion is a library for simulating the systems of interacting electrons (fermions) which give rise to the properties of matter.
The goal of our experiment was to use quantum hardware to efficiently solve the molecular electronic structure problem, which seeks the solution for the lowest energy configuration of electrons in the presence of a given nuclear configuration.