3-6.4.2017: Dr. Pol Forn-Díaz from Universidad Politécnica de Barcelona visits QUTIS group and gives the talk “Waveguide QED: from USC to controlled decoupling“.
Thanks for great work Stefan @Stefan_Filipp @quantumWMI and all team @BMBF_Bund for German Quantum Computing Roadmap https://www.quantentechnologien.de/artikel/roadmap-quantencomputing-uebergeben.html
Find below LinkedIn link with my first feedback on central goals and feasibility https://www.linkedin.com/posts/enrique-solano-812631154_quantentechnologien-von-den-grundlagen-activity-6755878130566615040-P5yp
@QuantenTech @QuantumFlagship
Senior FPGA Design Engineer – IQM Quantum Computers https://iqm.teamtailor.com/jobs/1045259-senior-fpga-design-engineer lähteestä @teamtailor
New call of Ikerbasque tenure track positions for top scientists! https://twitter.com/ikerbasque/status/1350058093057617921
Very interesting call for top researchers! https://twitter.com/ikerbasque/status/1350058093057617921
https://sites.google.com/view/ifimac-icmm-joint-seminars/upcoming-seminars
Glad to be talking in the UAM Condensed Matter seminar series, in next February! @unisevilla @fisicaUS
German Quantum Computing Roadmap https://www.quantentechnologien.de/artikel/roadmap-quantencomputing-uebergeben.html
a) NISQ 100 qubits, 5-10 years (US/China there now)
b) Universal QC for useful applications 10-15 years (From hundred to million qubits?)
c) Commercial co-design QC and QSim now @meetIQM
Well done @BMBF_Bund, count with us
Here’s a recap of the year 2020 and some striking data sets of European tech and startup scene by @BillLeaver4, @siftedeu
We’re in great company here. Read more:
https://sifted.eu/articles/2020-european-tech-data/
Efforts in ion traps towards topologically-protected qubits: https://www.nature.com/articles/s41586-020-03079-6 While a robust single logical qubit is still missing, it is shown here how hard is to get better fidelities than unprotected qubits @AQTION_eu @IonQ_Inc @honeywell @IBMResearch @GoogleAI @meetIQM
This is only true up to a given problem->algorithm and given algorithm->hardware encodings. Co-Design QC break both assumptions. An example: are von Neumann architectures efficient for Biotech/Fintech/FluidDyn/Nonlinear/Non-Markovian problems? No. Then co-design classical and QC https://twitter.com/aryazdi/status/1349759294741368836
