X @funcspace

Joined November 2015

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Institute for Quantum Computing (IQC) @QuantumIQC

5 years ago

How best to control #quantum simulations that may one day be able to help us explore new frontiers in atomic physics, build new materials and discover new drugs? #MachineLearning may hold the answer. @ontariotech_u @WaterlooSci @NRC_CNRC bit.ly/36UaCJa

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1QBit @1QB_IT

5 years ago

We at 1QBit send our deepest condolences to David's family, friends, colleagues, and students. His work and his legacy will continue to impact our community for years to come; he will be missed. cifar.ca/cifarnews/2020… #QuantumComputing

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Krysta M Svore @krystasvore

5 years ago

Today I mourn the loss of our teammate and dear friend David Poulin. My heart goes out to his family and our community. I will forever be inspired by you David. Thank you for blessing me with your presence, energy, curiosity, and humor. May you rest in peace.

Azure Quantum @MSFTQuantum

5 years ago

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1QBit @1QB_IT

5 years ago

Watch this video to learn more about @1QB_IT XrAI, an #AI “co-pilot” for clinicians to improve the accuracy and timeliness of diagnosing lung abnormalities on chest radiographs. vimeo.com/415791510 #healthcare #COVID19

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Machine Learning: Science and Technology @MLSTjournal

6 years ago

Interesting new work from @itamblyn and coworkers at @VectorInst @NRC_CNRC @QuantumIQC - Controlled Online Optimization Learning (COOL): Finding the ground state of spin Hamiltonians with reinforcement learning - arxiv.org/abs/2003.00011 #MachineLearning #quantum #NeuralNetworks

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X @funcspace

6 years ago

Even though generalization power sounds like a reasonable expectation from RL, it’s quite hard to make it work. Here is a successful story in this direction with my COOL collaborators.

Isaac Tamblyn @itamblyn

6 years ago

Even though generalization power sounds like a reasonable expectation from RL, it’s quite hard to make it work. Here is a successful story in this direction with my COOL collaborators.

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Mark M. Wilde @markwilde

6 years ago

Seriously for #QIP2020? This came in about the reg. fee: "The registration and payment are separate. One can register one’s information and then pay for the registration fee later. We are so sorry that we can not accept credit card. However, we can accept Alipay and wechat pay."

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Federico Andres Lois @federicolois

6 years ago

The Reinforcement Learning course (CS234) by @EmmaBrunskill is pure gold. It's awesome that it is online. youtube.com/playlist?list=…

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Roger Melko @rgmelko

6 years ago

We use machine learning to design a programmable trapped ion quantum simulator @Perimeter @QuantumIQC arxiv.org/abs/1910.02496

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X @funcspace

6 years ago

mathvalues.org/masterblog/stu…

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Roger Melko @rgmelko

6 years ago

“North America has long been the world’s leader in attracting VC cash... but the boom is not restricted to Silicon Valley.... a whole ecosystem has emerged to support quantum companies around academic hubs in Waterloo and Toronto” nature.com/articles/d4158…

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Arthur Pesah @artix41

6 years ago

My friend and master's thesis supervisor Peter Wittek has gone missing in the Himalayas due to an avalanche. He is an incredible mentor who's had a huge influence on me and all his students! I really hope they find him soon #findpeterwittek

Amira Abbas @AmiraMorphism

6 years ago

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Estelle Maeva Inack @InackEstelle

6 years ago

The ML conference for quantum design @Perimeter is finally over. Thanks to all participants, speakers and organizers 😊@rgmelko @carrasqu @eunahkim @gppcarleo @wangleiphy @lhaywardsierens @MicheleCeriotti @pooyaronagh @Evert_v_N @giactorlai @frmetz @mattbeach42 @msalbergo ...

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Roger Melko @rgmelko

6 years ago

Machine Learning for Quantum Design @Perimeter starts Monday! Welcome to our participants from government, academia, and industry (@1QB_IT @Google @Theteamatx @XanaduAI @dwavesys @AlibabaGroup @creativedlab & more) Our finalized schedule is now online perimeterinstitute.ca/conferences/ma…

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Roger Melko @rgmelko

6 years ago

Last chance to sign up for Machine Learning for Quantum Design @Perimeter. Speakers include @eunahkim @gppcarleo @pooyaronagh @wangleiphy @Evert_v_N @carrasqu @giactorlai and much more... Register ASAP: perimeterinstitute.ca/conferences/ma…

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X @funcspace

6 years ago

Quantum Algorithms for Solving Dynamic Programming Problems (e.g. a quantum speed-up for solving TSP) arxiv.org/abs/1906.02229

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Roger Melko @rgmelko

6 years ago

Welcome to the @Perimeter Institute Quantum Intelligence Lab #PIQuIL @1QB_IT @NRC_CNRC @UWaterloo perimeterinstitute.ca/research/resea…

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X @funcspace

7 years ago

Smooth approximation of the loss function can provide quantum speed-up in structured prediction tasks. Rather than competing with deep learning, the algorithm uses deep learning as a feature extractor arxiv.org/abs/1809.04091

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Roger Grosse @RogerGrosse

7 years ago

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread] arxiv.org/abs/1811.03600