Dear quanta,
The theme of workshop in Princeton is best described as "what Avi Wigderson
has been thinking about lately" and it has some interesting overlaps with
quantum information theory.
It is free but Apr 15 is the registration deadline.
In other TCS-relevant news, Boaz Barak is speaking at Harvard (20 Garden
st) this Friday afternoon (1:30pm-4:30ish) about the recent proof of the
2-to-2 conjecture (related to unique games). This is not quantum at all
but just big TCS news.
-aram
---------- Forwarded message ----------
From: Avi Wigderson <avi(a)ias.edu>
Date: Wed, Feb 14, 2018 at 12:21 PM
Subject: IAS workshop on Optimization, Complexity and Invariant Theory,
June 4-8 2018
To:
Dear friends,
Please advertize this workshop in your institution.
https://www.math.ias.edu/ocit2018
Thanks,
Avi
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Speaker: John Sous, (University of British Columbia)
Date: Thursday, November 9th
Time: 12:00-1:00 pm
Includes Pizza.
Title: Phonon-mediated repulsion, sharp transitions and (quasi)self-trapping in the extended Peierls-Hubbard model
Abstract: Particle-phonon coupling is generically expected to lead to a screening of the bare particle-particle interactions. If low-energy overscreening occurs, the resulting attractive interactions are responsible for conventional superconductivity as described by the Bardeen-Cooper-Schrieffer theory. I will demonstrate that Peierls-type particle-phonon coupling not only leads to an enhanced repulsion between identical fermions/hard-core bosons, but also generates an additional effective interaction not of density-density type and thus not involved in screening. This interaction moves pairs of neighbor particles as a whole; this has unusual consequences such as a (quasi)self-trapping transition for a bound pair even when the individual particles are very mobile. These results open new directions in the study and understanding of the effects of particle-boson coupling, relevant for understanding behavior in Physics, e.g. in quantum materials; Chemistry, e.g. in optoelectronic processes; and Biology, e.g. in photosynthesis and DNA.
Location: B-106 @ Center for Astrophysics (60 Garden Street)
Directions: After entering the lobby of the CfA, turn right to enter the hallway of the B building. In the hallway, turn right again, B-106 will be at the end of the hallway on the left side.
Everyone,
Come celebrate Felix and have some delicious breakfast today at 10:30 AM in
the Division Room.
Best,
S.
--
*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 all,
Gabriel dos Passos Gomes from the Department of Chemistry and Biochemistry,
Florida State University is visiting us on Tuesday May 1st.
His talk will be in the Division Room 1:30-2:30pm (abstract is attached).
Please let me know if you are interested in discussing with him or joining
for lunch.
Cheers Christoph
Dear quanta,
We will meet as usual in 6-310 at 11am. Ryugi will tell us about his
recent work on non-Gaussianity.
-aram
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Hi all,
Tomorrow (sorry for the late email) we'll hear from Theophile Gaudin from
IBM Research Zurich at group meeting. See below for the abstract for his
talk.
See you there, and best,
Ian
-----------------
There is an intuitive analogy of an organic chemist's understanding of a
compound and a language speaker's understanding of a word. Consequently, it
is possible to introduce the basic concepts and analyze potential impacts
of linguistic analysis to the world of organic chemistry. In this work, we
cast the reaction prediction task as a translation problem by introducing a
template-free sequence-to-sequence model, trained end-to-end and fully
data-driven. We propose a novel way of tokenization, which is arbitrarily
extensible with reaction information. With this approach, we demonstrate
results superior to the state-of-the-art solution by a significant margin
on the top-1 accuracy. Specifically, our approach achieves an accuracy of
80.1% without relying on auxiliary knowledge such as reaction templates.
Also, 66.4% accuracy is reached on a larger and noisier dataset.
http://www.rle.mit.edu/cua_responsive/events/hartmut-neven/
TUE MAY 1, 2018 4:00 PM
Increasing the IQ of Artificial Intelligence with Quantum Algorithms
Location:MIT 4 - 270
Dr. Hartmut Neven, Google
Ten Minute Talk:"Towards magnetic resonance imaging of a single molecule"
by Alexei Bylinskii
A key objective behind the inception of Google’s Quantum Artificial
Intelligence Lab was to accelerate the approximate solution of hard
combinatorial optimization problems with quantum enhanced optimization. We
have developed a sequence of algorithms that aim at accomplishing this task
in a manner that is forgiving to the noise present in near-term quantum
processors. I will describe the latest incarnation of our method which is
based on multi-spin updates generated by non-ergodic many body delocalized
states. We recently showed that this approach can recover the Grover
speedup for unstructured search problems and I will describe numerical
experiments that illustrate how this method behaves when applied to
structured optimization problems. I will conclude my talk with updates on
other activities going on in Google’s Quantum AI lab: I will describe the
properties of our latest chip, the 72 qubit Bristlecone processor; a
formulation of quantum neural networks which lends itself to implementation
on shallow quantum circuits; and if time permits I will sketch where we
stand in attempting to perform electronic structure calculations, again
using low resource count quantum circuits.
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Dear Group,
Please see the information below for a one-day symposium hosted by Alan on
May 18th at Pfizer. Everyone is encouraged to register and attend. Full
flyer attached, feel free to distribute widely.
Register here: https://www.cell.com/lablinks?code=cell-site
Cheers,
Siria
Machine Learning in
Material and Chemical
Sciences
Friday, May 18, 2018
9:15 a.m.—3:45 p.m.
Pfizer Lecture Hall, Mallinckrodt Chemistry Lab B23
Harvard University, Cambridge, MA 02138, USA
Organizers
Alán Aspuru-Guzik, Harvard University
Brandon Sutherland, Scientific Editor, Joule
Ilaria Cianchetta, Scientific Editor, Chem
Stefano Tonzani, Lead Editor, iScience
--
*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 Colleagues,
You are cordially invited to attend the following thesis defense.
''Verifying Quantum Proofs with Entangled Games''
Presented by Anand Natarajan
Date: Wednesday, April 25, 2018
Time: 12:00 pm
Location: 6C-442
Committee: Aram W. Harrow, Peter Williston Shor, Isaac Chuang
Best of luck to Anand!
Regards,
The MIT Physics Graduate Program
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If anybody needs access to this, tell me ASAP!
Tere, Christoph, Doran?
Alan
Alán Aspuru-Guzik | Professor of Chemistry and Chemical Biology
Harvard University | 12 Oxford Street, Room M138 | Cambridge, MA 02138
(617)-384-8188 | http://aspuru.chem.harvard.edu | http://about.me/aspuru
---------- Forwarded message ----------
From: Wibe de Jong <wadejong(a)lbl.gov>
Date: Tue, Apr 24, 2018 at 11:28 AM
Subject: Fwd: Project request APPROVED: The chemical universe through the
eyes of deep learning neural networks, Project ID: CHM129
To: Quantum Algorithms Team for Chemical Sciences Team <QAT4ChemSci(a)lbl.gov>
We have time on ORNL's GPU machines. Anyone needing an account, let me
know.
Bert
---------- Forwarded message ----------
From: Kennedy, Cara L. <kennedycl(a)ornl.gov>
Date: Wed, Apr 18, 2018 at 4:47 AM
Subject: Project request APPROVED: The chemical universe through the eyes
of deep learning neural networks, Project ID: CHM129
To: "wadejong(a)lbl.gov" <wadejong(a)lbl.gov>
Cc: "Straatsma, T.P." <straatsmatp(a)ornl.gov>, "Wells, Jack C." <
wellsjc(a)ornl.gov>, "accounts(a)ccs.ornl.gov" <accounts(a)ccs.ornl.gov>
Dr. de Jong,
The Oak Ridge Leadership Computing Facility’s (OLCF) Resource Utilization
Council has approved your project request, *Project ID: CHM129*, The
chemical universe through the eyes of deep learning neural networks, for
*2,000,000* Titan Core hours and *5,000* Rhea Node hours for *12* months. The
RUC encourages you to start running on the GPU’s. Once you feel like you
have made progress, please contact Jack Wells (wellsjc(a)ornl.gov) and Tjerk
Straatsma (straatsmatp(a)ornl.gov) to discuss access to Summit in the future.
ORNL’s Export Control will now conduct a review, the results of which will
be forwarded to you.
Please contact me if you have any questions.
Best,
Cara
Cara Kennedy
OLCF Accounts Manager/OLCF Tour Coordinator
Oak Ridge Leadership Computing Facility
[image: OLCF_color (2)]
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