FYI
Alán Aspuru-Guzik | Professor of Chemistry and Chemical Biology
Harvard University | 12 Oxford Street, Room M113 | Cambridge, MA 02138
(617)-384-8188 | http://aspuru.chem.harvard.edu | http://about.me/aspuru
---------- Forwarded message ----------
From: Anthony Laing <Anthony.Laing(a)bristol.ac.uk>
Date: Mon, Jul 11, 2016 at 11:28 AM
Subject: International scholarship for PhD at Bristol
To: Anthony Laing <anthony.laing(a)bristol.ac.uk>
Dear Colleague
I’d be grateful if you could forward the following information to
prospective students:
I am inviting applications to candidates with the drive to build a strong
PhD in quantum information science and quantum photonics. The successful
candidate will be awarded a prestigious international scholarship from the
UK’s Engineering and Physical Sciences Research Council.
The PhD will be undertaken in my research group in the School of Physics at
the University of Bristol, and in QET Labs, which encompasses quantum
information science and quantum technology research at the university. The
focuses for this position include experiment and theory in quantum
simulations.
For further information, please email cqp-enquiries(a)bristol.ac.uk
Kind Regards
Anthony
Dr Anthony Laing
Lecturer & EPSRC Early Career Fellow
QET Labs, School of Physics, University of Bristol,
Tyndall Avenue, BRISTOL BS8 1TL, UK
---------- Forwarded message ----------
From: Adam Kalai <
0000001a29c4cdd0-dmarc-request(a)lists.research.microsoft.com>
Date: Mon, Jul 11, 2016 at 7:57 AM
Subject: Yann LeCun speaks TODAY 5pm
To: MMM(a)lists.research.microsoft.com
Lecture title: "The Next Frontier in AI: Unsupervised Learning"
Yann LeCun
Facebook AI Research & New York University
Monday, July 11, 2016: 5:00-6:00 p.m.
MIT Room: 10-250
----------------------
Abstract:
The rapid progress of AI in the last few years are largely the result of
advances in deep learning and neural nets, combined with the availability
of large datasets and fast GPUs. We now have systems that can recognize
images with an accuracy that rivals that of humans. This will lead to
revolutions in several domains such as autonomous transportation and
medical image understanding. But all of these systems currently use
supervised learning in which the machine is trained with inputs labeled
by humans. The challenge of the next several years is to let machines
learn from raw, unlabeled data, such as video or text. This is known as
unsupervised learning. AI systems today do not possess "common sense",
which humans and animals acquire by observing the world, acting in it,
and understanding the physical constraints of it. Some of us see
unsupervised learning as the key towards machines with common sense.
Approaches to unsupervised learning will be reviewed. This presentation
assumes some familiarity with the basic concepts of deep learning.
----------------------
About the speaker:
Yann LeCun received the Electrical Engineer Diploma from Ecole
Supérieured'Ingénieurs en Electrotechnique et Electronique, and a PhD in
Computer Science from Université Pierre et Marie Curie. After a postdoc at
the University of Toronto, he joined AT&T Bell Laboratories in Holmdel, NJ
in 1988. He became head of the Image Processing Research Department at
AT&T Labs-Research in 1996, and joined NYU as a professor in 2003, after a
brief period as a Fellow of the NEC Research Institute in Princeton.
>From 2012 to 2014 he directed NYU's initiative in data science and became
the founding director of the NYU Center for Data Science. He was named
Director of AI Research at Facebook in late 2013 and retains a part-time
position on the NYU faculty.
Since the mid 1980's he has been working on deep learning methods,
particularly the convolutional network model, which is the basis of many
products and services deployed by companies such as Facebook, Google,
Microsoft, Baidu, IBM, NEC, AT&T and others for image and video
understanding, document recognition, human-computer interaction, and
speech recognition.
You are currently subscribed to the MMM mailing list as saikinsk(a)GMAIL.COM.
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--
********************************************
Semion K. Saikin, PhD
Department of Chemistry and Chemical Biology
Harvard University
12 Oxford Street, Cambridge, MA 02138
email: saykin(a)fas.harvard.edu
phone: (619)212-6649
********************************************
Hi everyone,
There will be no ML group meeting today. We have moved it a week later to
invite Miguel, a postdoc from the Ryan Adams group and soon to be
professor, to give us a talk instead.
Sorry for the late notice, and see you all next week.
Cheers,
Jennifer
Dear all,
I agree with Stefano. If you ever work with a periodic system or want to
screen them, you probably want to look at this :)
---------- Forwarded message ----------
From: *Stefano Curtarolo* <stefano(a)duke.edu>
Date: Monday, July 11, 2016
Subject: download and use this
To: Alan Aspuru-Guzik <aspuru(a)chemistry.harvard.edu>
Alan
fwd this paper to your group. This will be the standard in crystallographic
labeling.
Paper submitted to comp-mat-sci and it is the 1st of a few.. like an
encyclopedia.
http://materials.duke.edu/auro/AUROARTICULA/art121.pdf
Thanks
Stefano
--
Prof. Stefano Curtarolo
Materials Science, Electrical Engineering, Physics and Chemistry
Director, Center for Materials Genomics
Duke University, USA - http://materials.duke.edu
----------
"You only have power over people so long as you don’t take everything away
from them. But when you’ve robbed a man of everything he’s no longer in
your power — he’s free again." Aleksandr Solzhenitsyn
--
Alán Aspuru-Guzik | Professor of Chemistry and Chemical Biology | Harvard
University
12 Oxford Street, Room M113 | Cambridge, MA 02138
(617)-384-8188 | http://aspuru.chem.harvard.edu
Dear quanta,
Many of us are away so we will skip the group meeting tomorrow.
Have a good weekend!
-aram
_______________________________________________
qip mailing list
qip(a)mit.edu
http://mailman.mit.edu/mailman/listinfo/qip
Hi all,
Tomorrow at group meeting we have two exciting speakers, Prof. Enrique
Solano and Dr. Lucas Lamata from Bilbao. Their titles and abstracts are
included below.
See you there,
Ian
-----------------------
Speaker: Prof. Enrique Solano (University of the Basque Country, Bilbao,
Spain)
Title: Embedding quantum simulators: unphysical operations and
entanglement measures
without full tomography
Abstract: I will introduce the concept of embedding quantum simulators,
which allow for the implementation of unphysical operations in the lab. For
instance, the complex conjugation of an unknown quantum state, a forbidden
antilinear operation in quantum physics, could be realized via the use of
an auxiliary qubit. This opens the possibility for measuring entanglement
of an evolving quantum system with few observables and without the
necessity of full tomography. Finally, I will explain how to adapt these
ideas to different quantum platforms as trapped ions and
superconducting circuits,
among others.
Speaker: Dr. Lucas Lamata (University of the Basque Country, Bilbao, Spain)
Title: Digital-Analog Quantum Simulations
Abstract: I will review our research of the past years on digital quantum
simulations with trapped ions and superconducting circuits, from spin
systems to fermionic models. Furthermore, I will introduce the novel
paradigm of digital-analog quantum simulations, which combines both
approaches in an optimal way. The analog blocks provide complexity and
scalability, while the digital steps contribute with flexibility and
versatility.
I will argue that this is a feasible path towards quantum supremacy in
different quantum platforms.
Group,
I will be away tomorrow and all of next week. Feel free to swing by or
email me with any matter today and Friday. I will not be accessing email
while away.
Cheers,
Siria
--
*Siria Serrano*
*Faculty Assistant*
*Aspuru-Guzik Group*
*Harvard University **Department of Chemistry and Chemical Biology*
*12 Oxford St. M 136*
*Cambridge, MA 02138*
*P:** (617) 496-1716 <%28617%29%20496-1716>** F: **617-496-9411
<617-496-9411>*
I already organized volunteers to present poster(s) for (2). Is anybody
interested in taking course (1) ? This is just an FYI. We don't have
anything that I intend to commercialize for the course but somebody in the
group may be intersted in attending the course.
Alan
Alán Aspuru-Guzik | Professor of Chemistry and Chemical Biology
Harvard University | 12 Oxford Street, Room M113 | Cambridge, MA 02138
(617)-384-8188 | http://aspuru.chem.harvard.edu | http://about.me/aspuru
---------- Forwarded message ----------
From: Ian Miller <igm(a)mit.edu>
Date: Wed, Jul 6, 2016 at 7:31 AM
Subject: Interested in Energy Ventures or Energy Night?
To: alan(a)aspuru.com
Dear Professor Aspuru-Guzik,
I was reading about your organic solar cell research on your website. Might
you have any interest in having this research or any other of your
energy-related research (1) commercialized in Energy Ventures, or (2)
presented at Energy Night?
(1) Energy Ventures is a Fall course where teams of Harvard & MIT graduate
students build lab technologies into businesses. Best case scenario, your
technology is developed into an impactful company. The course has produced
many successful companies, such as Gradiant and Pellion. Worst case
scenario, the start-up does not live beyond December, but you still learn a
lot about the commercial possibilities for your technology, and you
contribute meaningfully to the education of future energy entrepreneurs.
Also, if you have an advisee interested in commercializing the technology,
they would be more than welcome to apply for the course. It is a great
opportunity to collaborate with MBAs and to learn the nitty gritty of
translating lab research into industrial application.
(2) Energy Night is a showcase of energy research in October, organized by
MIT students and involving universities and companies from all over the
Boston area. It covers everything from fundamental to applied to policy
research. It is always a good time for energy folks to meet and discuss
each other’s work in a fun casual setting. Presenting requires no more than
a poster, ideally a simplified version of a conference poster for the less
expert audience, and someone you trust to present it. Also, there is free
food and beer.
Please let me know if you have any interest in either Energy Ventures or
Energy Night. Next steps for both are straightforward and consume very
little time!
Respectfully,
Ian Miller
PhD Candidate in Chemical Engineering
Technology Recruiter for Energy Ventures
Content Director for Energy Night
---------- Forwarded message ----------
From: Tim Hirzel <tim.hirzel(a)gmail.com>
Date: Tue, Jul 5, 2016 at 6:02 PM
Subject: July 20th: 10am. Come learn the latest computational chemistry
tools for the AAG group.
To: Rafa Gómez Bombarelli <rgbombarelli(a)chemistry.harvard.edu>, Jorge <
jorgeag(a)chemistry.harvard.edu>, Alan Aspuru-Guzik <
aspuru(a)chemistry.harvard.edu>, Steven Lopez <stevenlopez0209(a)gmail.com>,
Benjamin Sanchez Lengeling <beangoben(a)gmail.com>, Adrian Jinich <
ajinich(a)gmail.com>, Jennifer Wei <jenniferwei(a)fas.harvard.edu>, Dmitry
Zubarev <zubarev(a)fas.harvard.edu>, Sung-Jin Kim <jamessungjin.kim(a)gmail.com>,
Siria Serrano <aspuru.facultyassistant(a)gmail.com>, yunl(a)mit.edu, Dmitrij
Rappoport <rappoport(a)chemistry.harvard.edu>, Scott Yockel <
syockel(a)g.harvard.edu>, "Nate St. Germain" <nastgermain(a)g.harvard.edu>
Hello,
This is an invitation to a training session I will be hosting July 20th at
from 10am to 3pm in CV27. There will be a one hour break for lunch (not
included).
Many of you are using parts of the existing code base (mongo database,
jobmanager, etc.). That's not going away, but there is now an updated set
of small sharp tools to help you:
- store molecules and properties in a database (now postgres)
- automate the creation and parsing of calculations for odyssey or your
machine
- host simple websites to allow easy browsing of structures and properties
Run your own mini-CEP! Run actual CEP!
I hope you can attend.
Best,
Tim Hirzel
ps. Siria, can you forward this to our coming postdoc, Dennis?
pps. If I omitted the e-mail of an interested group member, please forward
with my apologies.
--
*Siria Serrano*
*Faculty Assistant*
*Aspuru-Guzik Group*
*Harvard University **Department of Chemistry and Chemical Biology*
*12 Oxford St. M 136*
*Cambridge, MA 02138*
*P:** (617) 496-1716 <%28617%29%20496-1716>** F: **617-496-9411
<617-496-9411>*
Dear Group:
Please take a moment to stop by and say hello to our new postdoc -- Quantum
guy, Jonny Olson.
Jonny is originally from Idaho (beef and potatoes), where he graduated from
the University of Idaho with a Masters in Mathematics (1+1=3); more
recently, from Louisiana State University with a PhD in Physics under
advisors Jonathan Dowling and Mark Wilde. His experience is mostly in
quantum optics and quantum information, particularly related to the
BosonSampling problem. He enjoys watching football and rock climbing in
his spare time.
Welcome Jonny!