crigetti

Hey Doug! Thanks! Great to see the IBM quantum team on HackerNews! We've worked really hard to bake scalability into the designs from day 1. Our challenge now is to validate standard 1 and 2 qubit performance metrics on that scalable 2-D qubit lattice. A system with ~16 qubits is big enough to get a reasonable assessment of correlated errors between non-nearest neighbors, and small enough that it's still pretty cheap to build. We've also made some great headway in developing a scalable and low-cost architecture for the control electronics and signal delivery - about 20x cheaper than the standard approaches - and 16 qubits is large enough to really put those to the test. Be well! Chad

Hi madengr - Thanks for the comment. We're focused on solid-state qubits right now, not ion traps. Are you building your own GPU-based hardware for your simulations?

Hi Lev - Our mission is to deliver fault-tolerant quantum computing systems and services to the commercial market. We're currently prototyping our technology at the small scale i.e. < 20 qubits. Once this validation is complete, we intend to scale up to much larger systems.

Hi Jean-Luc, Thank you for the kind wishes. Those are some great questions! We are definitely running HFSS, and we've made some small investments in traditional HPC hardware. Our primary use case thus far has been Eigenmode solver, which doesn't parallelize well. We're figuring out how use Driven solver a little more - the HPC packs provides a real boost in that case. We're excited to be expanding the eco-system of companies doing groundbreaking QC work beyond the standard list of big defense contractors :)

We're focused on superconducting qubits right now. But our core processor technology and the overall system architecture are fairly agnostic to the kind of physical qubits that it uses.

No but we might buy some :)

Hi saryn - we're building gate-based systems and working towards quantum error correction. We've developed our own physical architecture for the processor that we believe is highly scalable and much cheaper than other approaches.

@FiatLuxDave - Great questions, thank you! We are building quantum computing systems. We have a simulation-driven development process for the hardware, both the quantum and classical parts of the system, and that helps us keep costs down.

For challenge problems, that's a great idea. We're focused on applications to computational chemistry and machine learning, among others, right now.

Hi everyone! I'm Chad Rigetti, the founder of Rigetti Computing. I'd love to answer any questions you may have. Chad