#qibo I'm a fan.

On Thursday I talked to Stefano Carazza who is pushing forward the vision to have a #FOSS full stack #quantumComputing package.

The package is called Qibo and it's freely available. As in free software.

We talked about about how at a certain stage adoption will become relevant, for now releasing #QiboCal and #QiboLab is the focus.

I say relevant, because it's not going to be an issue, a challange at most. Why, there's a ton of new setups emerging and experimentalists prefer to run everything from a single jupyter notebook and have control over what is happening in their lab rather than be restricted.

A researcher is not building abinitio a #quantumDevice to be limited by #IP or some nonsense that our societal system tends to generate.

Qualitatively new ideas are continuously surfacing and to seamlessly make academic progress we need #FOSS and integrate our efforts. Private interests should not limit what researchers are doing; vide our flawed publication system.

We need 2 things:
- theorists publishing their protocols with code integrated into Qibo as e.g. a calibration, optimization or circuit routine.
- experimentalists setting up Qibo drivers.
Qibo is a bridge between theory and experiments that is going to stand on the FOSS principle. A principle that will allow us to make more progress than without it.

#superconducting qubits, #RydbergAtoms, #trappedIons, #integratedPhotonics have similar requirements and Qibo is going to make them buzz 😊😄

If that sounds similar to what you think is already doing that then no. The FOSS feature needs to be present otherwise you're making a managerial design error that will show up down the line.

https://github.com/qiboteam/qibo

On Tuesday at #IQOQI Tobias Olsacher explained to me how to verify #HamiltonianSimulation. The paper https://arxiv.org/abs/2203.15846 is full of tricks and ideas, going towards a tutorial reviewing what you can do if you have access to decent measurements and enough coherence to make the characterization of a #QuantumDevice challenging.

The Hamiltonian learning involving an energy constraint is extremely #neat 💯 as an idea but apparently is sensitive to non-unitarity. A generalization is possible to do without an exact energy constraint and learn a parametrized Liouvillian but haih do we always need to need so many measurements? #quantum 🥲