@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.
So, if I understand it correctly, Rigetti Computing is planning on simulating how the software for a quantum computer will provide better performance than classical computing, and otherwise do useful stuff. This sounds like an interesting part of the quantum computing ecosystem, assuming that such an ecosystem evolves.
So, a few questions would be:
a) what does RC offer that is not already being provided by the academic algorithmic community?
b) are you making the assumption that hardware specifics do not have any effect upon your goals? if so, how confident are you that this is true? does the DWave quantum annealing issue play into this at all?
c) do you have any customers lined up yet?
d) do you have any kind of 'challenge problem' which you think would be particularly good at demonstrating what RC (as opposed to QC in general) can do?
Great to hear that there is space in this industry for new companies beyond BBN, IBM and Northrop Grunman!
Have you already applied for funding with Quantum Valley Investments (http://quantumvalleyinvestments.com)? If not you should do so! The funding is not restricted to Canadian or Waterloo Ontario based research, as far as I know.
Are you gonna run HFSS/Comsol/ADS/Qutip... on Amazon EC2, scalable at will, or are you going to invest in your own parallel computing hardware? I can imagine a big chunk of this initial funding is going to go into buying a couple HPC pack licenses...
What sort of qubits are y'all using? I'm guessing "superconducting", because only those seem to be close to the [published] error thresholds right now.
@crigetti details are sparse both in the article and on your website. Quantum Computing is a pretty dear topic to me and so it'd be great to hear some more high level details on what it is Rigetti does. Merci Beaucoup.
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.
Really excited about the potential of systems like this for simulating biological processes. Imagine being able to simulate the design of biological parts on a computer rather than having to test in-vivo - making development faster and cheaper. This will transform the field of synthetic biology.
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.
[+] [-] crigetti|11 years ago|reply
For challenge problems, that's a great idea. We're focused on applications to computational chemistry and machine learning, among others, right now.
[+] [-] crigetti|11 years ago|reply
[+] [-] FiatLuxDave|11 years ago|reply
So, if I understand it correctly, Rigetti Computing is planning on simulating how the software for a quantum computer will provide better performance than classical computing, and otherwise do useful stuff. This sounds like an interesting part of the quantum computing ecosystem, assuming that such an ecosystem evolves.
So, a few questions would be:
a) what does RC offer that is not already being provided by the academic algorithmic community?
b) are you making the assumption that hardware specifics do not have any effect upon your goals? if so, how confident are you that this is true? does the DWave quantum annealing issue play into this at all?
c) do you have any customers lined up yet?
d) do you have any kind of 'challenge problem' which you think would be particularly good at demonstrating what RC (as opposed to QC in general) can do?
Best of luck on your startup!
[+] [-] orgiazzi|11 years ago|reply
Have you already applied for funding with Quantum Valley Investments (http://quantumvalleyinvestments.com)? If not you should do so! The funding is not restricted to Canadian or Waterloo Ontario based research, as far as I know.
Are you gonna run HFSS/Comsol/ADS/Qutip... on Amazon EC2, scalable at will, or are you going to invest in your own parallel computing hardware? I can imagine a big chunk of this initial funding is going to go into buying a couple HPC pack licenses...
Best of luck!
Jean-Luc Orgiazzi
[+] [-] scythe|11 years ago|reply
[+] [-] gaze|11 years ago|reply
[+] [-] levlandau|11 years ago|reply
[+] [-] crigetti|11 years ago|reply
[+] [-] technotony|11 years ago|reply
[+] [-] saryn|11 years ago|reply
If your own, what architecture?
[+] [-] crigetti|11 years ago|reply
[+] [-] gaze|11 years ago|reply