We've created new simulation-driven design methods and our own microfabrication capabilities to develop quantum chips, which are essential for our technology.

In our projects, we aim to create products that are computationally, robotically, and materially novel, transitioning from traditional assembly to using robots and microbes.

Digitizing the physical world involves treating atoms like bits, which means understanding how to manipulate and optimize physical resources effectively.

The exponential improvement of chips allowed us to envision computing as essentially free, enabling widespread use.

We're on the pathway to AI being able to design chips better than humans, which could eliminate bottlenecks in achieving greater intelligence.

Our high-performance chip system, called a pod, consists of 256 chips capable of 11.5 petaflops of compute, enabling us to tackle larger problems.

In less than two years, we've built a five-qubit quantum computer and grown to about 35 people in a warehouse in Berkeley, including around 20 PhDs.

The ion trap method, which uses individual atoms as qubits, is a leading approach in quantum computing due to its ability to maintain quantum states effectively by isolating atoms from their surroundings.

While we are approaching human-level computing power with supercomputers, we still lack a clear understanding of how to replicate human intelligence.