MLQuantum 2021 (@MLQuant2021) profile picture

The organizer's account of the MLQ 2021 conference on Machine Learning in Quantum.

Joined August 2020
Photo by MLQuantum 2021 (@MLQuant2021)Photo by MLQuantum 2021 (@MLQuant2021)Photo by MLQuantum 2021 (@MLQuant2021)
Had a lot of fun giving this recent talk on the new perspective our recent power of data paper gave me on computational chemistry in general! Thanks @MLQuant2021 for the opportunity to share some recent thoughts. youtu.be/Whc-6v7W0_4
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Great to see @theanandabhinav talk about our NES work at @MLQuant2021 . Come check out some interesting talks bringing together the quantum computing and machine learning communities
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Excited about the last session of #MLQ2021 @rgmelko is going to tell us about Reconstructing quantum states with generative models. mlq2021.org #quantum
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Following we look forward to the last two talks about question 1. Johannes Jakob Meyer will talk about Improving Quantum Sensing with Variational Methods and Matteo Rosati about Real-time calibration of coherent-state receivers: learning by trial and error.
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Last day of #MLQ2021! Join today's session at 12:00 GMT for interesting talks and a deep dive into machine learning for quantum algorithms in quantum chemistry.#quantumphysics #quantumchemistry #machinelearning #neuralnetworks
Speaking now Abhinav Anand from the University of Toronto on evolutionary strategies. #quantum mlq2021.org
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We look forward to our next invited speaker. Starting soon at 5 pm (GMT) @JarrodMcclean is going to talk to us about Probing the role of learning in computational chemistry with a quantum computation perspective. mlq2021.org #QuantumComputing #quantum #MLQ2021
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Starting at 15:00 GMT: @EliskaGreplova, Gal Winer and Valeria Cimini will help us understand how can we achieve fully automatic calibration and operation of multi-qubit circuits.
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We look forward to our next industry talk at 14:00 GMT by our sponsor Quantum Machines. #MLQ2021 #quantum
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Quantum Orchestration: Integrated hardware and software for design and execution of complex quantum control protocols by Yonathan Cohen
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We're excited to start into day 4 of #mlq2021 with talks on machine learning assisted "booting" and tuning of quantum devices by Hendrik Bluhm, Giovanni Oakes, Dominic Lennon NOW.
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In 10 minutes @see_quantum will give us a tutorial on Variational Quantum Eigensolvers. join us at mlq2021.org #MLQ2021
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Happy to give a tutorial at @MLQuant2021 today ! #machinelearning for #quantum Thanh you for the invitation!
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There is no time for science as usual: Materials Acceleration Platforms. We are excited to host at 3 pm GMT @A_Aspuru_Guzik helping us understand how machine learning can improve the performance of quantum algorithms for quantum chemistry. #mlq2021
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Tim Taminiau (QuTech, Delft – the Netherlands) Atomic-scale imaging of nuclear spins with a quantum sensor. See you at 12:00 GMT as we continue Q1 on Day3 :)
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Question-1: How can a quantum sensor optimally extract information about its environment?
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This will be followed by Kyunghoon Jung (Seoul National University, Korea) Deep Learning Enhanced Individual Nuclear-Spin Detection in Diamond
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