Top Tweets for #machine19
In future quantum computers, process tomography will undoubtedly be carried out by machine learning. It all started @KITP_UCSB #machine19
Our most recent work on #quantum process tomography with #MachineLearning and tensor networks for benchmarking NISQ hardware. Out from the #machine19 program @KITP_UCSB, with @chriseclectic @atithi8 @gppcarleo @carrasqu & Aolita. @FlatironCCQ @IBMResearch
https://t.co/xAtfcr5Owg
Our most recent work on #quantum process tomography with #MachineLearning and tensor networks for benchmarking NISQ hardware. Out from the #machine19 program @KITP_UCSB, with @chriseclectic @atithi8 @gppcarleo @carrasqu & Aolita. @FlatironCCQ @IBMResearch
https://t.co/xAtfcr5Owg
We had a great time in Santa Barbara last year during #MACHINE19 at @KITP_UCSB ! @rgmelko @carrasqu @giactorlai @Evert_v_N @zdeborova @KrzakalaF @InackEstelle @a_rocchetto @MStoudenmire etc etc!
Today's throwback #BlackboardTalk is by @gppcarleo from February 2019 during the #MACHINE19 program at #KITP:
Dreaming, computing, inspiring: Flavors of machine learning in many-body quantum physics
Watch at ▸ https://t.co/2yg0yUqmSv
Today's throwback #BlackboardTalk is by @gppcarleo from February 2019 during the #MACHINE19 program at #KITP:
Dreaming, computing, inspiring: Flavors of machine learning in many-body quantum physics
Watch at ▸ https://t.co/2yg0yUqmSv
As the KITP program on "Machine Learning for Quantum Many-Body Physics" comes to a close, check out all the talks posted online https://t.co/2ThV3ZucqT Thanks to all the participants for giving very clear talks about the creative work they're doing #machine19 @KITP_UCSB
Many thanks to @kitp for having me at their great quantum many body and machine learning program #machine19.
Taking a break from the #machine19 program @KITP_UCSB for a Sunday hike to the #superbloom of California poppies at Figueroa Mountain in the Santa Ynez Valley.
Simon Trebst speaking to the #machine19 program @KITP_UCSB on “Decoding the many-fermion problem with neural networks”
Check out Andrea Rocchetto’s #machine19 tutorial: Overview of classical and quantum learning theory online @KITP_UCSB
https://t.co/SR68ZBerjI
Sunrise over Coal Oil Point on a beautiful spring morning in Santa Barbara. Glad to be back @KITP_UCSB for the #machine19 program on machine learning in quantum many-body physics.
Jing Chen @FlatironCCQ gives a #machine19 tutorial on tensor networks and restricted Boltzmann machines @KITP_UCSB
This week's #KITP blackboard talk - Dreaming, computing, inspiring: Flavors of machine learning in many-body quantum #physics - by Giuseppe Carleo @gppcarleo @flatiron #machinelearning #machine19 https://t.co/m3ioqJcjBV
"RL for quantum control is like learning to play an Atari video game without looking at the screen and you can only see the score at the end"
great talk by Marin Bukov at #machine19
Giuseppe Carleo of @FlatironCCQ giving the chalk talk for the #machine19 program @KITP_UCSB on uses of neural networks for quantum many-body problems
Estelle Inack of @Perimeter giving a tutorial on variational Monte Carlo and machine learning to the @KITP_UCSB #machine19 crowd
Federico Becca from @UniTrieste discussing frustrated magnetism and variational monte carlo at @KITP_UCSB #machine19
Full Video Playlist from this past weekend's Teachers' Conference 2019 for HS #physics teachers https://t.co/60Uq8tkpli #AI #machine19
I am floored to know that I have access to a real quantum computer to simulate a simple wave function. @KITP_UCSB #MACHINE19 #MachineLearning @RandallstownHS @MorganStateU @APSphysics
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