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Victoria Stuart 🇨🇦 🏳️‍⚧️Quantum device slows chemical process by 100 billion Potential use in material science, drugs, solar energy harvesting <a href="https://www.sydney.edu.au/news-opinion/news/2023/08/29/conical-intersection-simulation-slowed-by-quantum-computer-100-billion-times.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.sydney.edu.au/news-opinion/news/2023/08/29/conical-intersection-simulation-slowed-by-quantum-computer-100-billion-times.html</a> Discussion: <a href="https://news.ycombinator.com/item?id=37376998" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://news.ycombinator.com/item?id=37376998</a>* electronic states of molecules * rapid, efficient relaxation during chemical dynamics * nature: femtoseconds; model: millisecondsDirect observation of geometric-phase interference in dynamics around a conical intersection <a href="https://www.nature.com/articles/s41557-023-01300-3" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.nature.com/articles/s41557-023-01300-3</a><a href="https://mastodon.social/tags/MaterialsScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MaterialsScience</a> <a href="https://mastodon.social/tags/QuantumDevice" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#QuantumDevice</a> <a href="https://mastodon.social/tags/chemistry" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#chemistry</a> <a href="https://mastodon.social/tags/physics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#physics</a> <a href="https://mastodon.social/tags/biophysics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#biophysics</a>

Marek Gluza<a href="https://mathstodon.xyz/tags/qibo" class="mention hashtag" rel="tag">#qibo</a> I'm a fan.On Thursday I talked to Stefano Carazza who is pushing forward the vision to have a <a href="https://mathstodon.xyz/tags/FOSS" class="mention hashtag" rel="tag">#FOSS</a> full stack <a href="https://mathstodon.xyz/tags/quantumComputing" class="mention hashtag" rel="tag">#quantumComputing</a> 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 <a href="https://mathstodon.xyz/tags/QiboCal" class="mention hashtag" rel="tag">#QiboCal</a> and <a href="https://mathstodon.xyz/tags/QiboLab" class="mention hashtag" rel="tag">#QiboLab</a> 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 <a href="https://mathstodon.xyz/tags/quantumDevice" class="mention hashtag" rel="tag">#quantumDevice</a> to be limited by <a href="https://mathstodon.xyz/tags/IP" class="mention hashtag" rel="tag">#IP</a> or some nonsense that our societal system tends to generate. Qualitatively new ideas are continuously surfacing and to seamlessly make academic progress we need <a href="https://mathstodon.xyz/tags/FOSS" class="mention hashtag" rel="tag">#FOSS</a> 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.<a href="https://mathstodon.xyz/tags/superconducting" class="mention hashtag" rel="tag">#superconducting</a> qubits, <a href="https://mathstodon.xyz/tags/RydbergAtoms" class="mention hashtag" rel="tag">#RydbergAtoms</a>, <a href="https://mathstodon.xyz/tags/trappedIons" class="mention hashtag" rel="tag">#trappedIons</a>, <a href="https://mathstodon.xyz/tags/integratedPhotonics" class="mention hashtag" rel="tag">#integratedPhotonics</a> 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.<a href="https://github.com/qiboteam/qibo" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://github.com/qiboteam/qibo</a>

Marek GluzaOn Tuesday at <a href="https://mathstodon.xyz/tags/IQOQI" class="mention hashtag" rel="tag">#IQOQI</a> Tobias Olsacher explained to me how to verify <a href="https://mathstodon.xyz/tags/HamiltonianSimulation" class="mention hashtag" rel="tag">#HamiltonianSimulation</a>. The paper <a href="https://arxiv.org/abs/2203.15846" target="_blank" rel="nofollow noopener noreferrer" translate="no">https://arxiv.org/abs/2203.15846</a> 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 <a href="https://mathstodon.xyz/tags/QuantumDevice" class="mention hashtag" rel="tag">#QuantumDevice</a> challenging.The Hamiltonian learning involving an energy constraint is extremely <a href="https://mathstodon.xyz/tags/neat" class="mention hashtag" rel="tag">#neat</a> 💯 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? <a href="https://mathstodon.xyz/tags/quantum" class="mention hashtag" rel="tag">#quantum</a> 🥲

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