---------- Forwarded message ---------
From: Sandia Quantum Performance Lab <qpl(a)sandia.gov>
Date: Mon, Jul 22, 2019 at 8:00 AM
Subject: Announcing "Assessing Performance of Quantum Computers" (APQC)
workshop; Sep. 25-27, 2019
To: Blume-Kohout, Robin J <rjblume(a)sandia.gov>
Dear Colleague,
I am writing to enthusiastically announce the first (hopefully annual)
workshop on *Assessing Performance of Quantum Computers
<https://qpl.sandia.gov/APQC/index.html>* (APQC). APQC will be a 3-day
workshop, held on September 25-27, 2019, at the Ridgeline Hotel in Estes
Park, Colorado. The workshop will focus on approaches, techniques, and
theories for assessing the quality and performance of quantum computational
hardware. The goal of APQC is to bring together experts in all the fields
that are essential to performance assessment – including QCVV, quantum
algorithms, quantum supremacy, error correction, and experimental quantum
hardware – to stimulate advances in the emerging field of quantum
performance assessment. The main focus of APQC is expected to be the
performance of digital (gate- or circuit-model) quantum computing devices,
but connections to other architectures and models, including annealing and
analog, are welcome.
We invite all interested participants to apply to participate and submit a
contributed talk (if desired) – at <
https://qpl.sandia.gov/APQC/APQC_registration.html>. Space and funding
restrictions will limit participation to at most 70 participants.
Applications received by August 16, 2019 will be guaranteed full
consideration, and further applications received until September 8 *may* be
considered if space permits. There will be a $250/person registration fee
for accepted applicants. A discounted lodging rate at the Ridgeline Hotel
*and* most meals will be provided.
Confirmed invited speakers include:
- Sergio Boixo (Google)
- Joseph Emerson (Quantum Benchmark / U. Waterloo)
- Steve Flammia (U. Sydney)
- David McKay (IBM)
- Adriaan Rol (T.U. Delft)
- Kevin Young (Sandia)
We expect the program to include approximately 16 contributed talks, in
addition to ~8 invited talks. For more information, see <
https://qpl.sandia.gov/APQC/index.html>.
APQC is being organized by Sandia’s Quantum Performance Lab (QPL)
<https://qpl.sandia.gov/>, and the University of New Mexico’s Center for
Quantum Information and Quantum Control (CQUIC) <https://cquic.unm.edu/>,
with support from the National Science Foundation.
I would be very grateful if you would share this announcement with
interested colleagues (including students and postdocs!), and forward it to
anyone you believe would be interested.
Sincerely,
Robin Blume-Kohout (on behalf of the Quantum Performance Lab)
_______________________________________________
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Harvard Quantum Initiative Special Seminar
Thursday, July 18
2:00 PM
Jefferson 356
Leigh Martin (UC Berkeley)
Quantum feedback for measurement and control
Many fundamental quantum limits arise from the inevitable disturbance caused by measurement. This disturbance imposes a barrier to precision measurement with no classical analog, but also provides a uniquely quantum mechanism for control. This talk explores both of these aspects in the context of quantum feedback. First, we discuss experimental results showing how feedback can take a measurement of phase to its fundamental limit. By continuously and adaptively changing measurement basis during readout of a single-photon signal, we enhance sensitivity over existing techniques and implement a canonical phase measurement. Second, we present theoretical methods for state control based on measurement back-action. We apply these methods to the task of entanglement generation and propose potential future experiments, including some that should be extremely robust to loss.
Harvard Quantum Initiative Special Seminar
Thursday, July 18
2:00 PM
Jefferson 356
Leigh Martin (UC Berkeley)
Quantum feedback for measurement and control
Many fundamental quantum limits arise from the inevitable disturbance caused by measurement. This disturbance imposes a barrier to precision measurement with no classical analog, but also provides a uniquely quantum mechanism for control. This talk explores both of these aspects in the context of quantum feedback. First, we discuss experimental results showing how feedback can take a measurement of phase to its fundamental limit. By continuously and adaptively changing measurement basis during readout of a single-photon signal, we enhance sensitivity over existing techniques and implement a canonical phase measurement. Second, we present theoretical methods for state control based on measurement back-action. We apply these methods to the task of entanglement generation and propose potential future experiments, including some that should be extremely robust to loss.
Harvard Quantum Initiative Special Seminar
Wednesday, July 17
2:00 PM
Jefferson 250
Matthew Nichols (MIT)
Probing the 2D Fermi-Hubbard Model Under a Quantum Gas Microscope
Ultracold fermionic atoms in optical lattices offer a pristine platform for quantum simulation of materials with strong electron correlations. With the advent of quantum gas microscopy, we now have the abilities to observe and manipulate these systems at the level of single atoms and lattice sites. In this talk, I will describe how we perform microscopy on fermionic 40K, and how we realize the two-dimensional Fermi-Hubbard model, a paradigm believed to capture the essence of high-Tc superconductivity in the cuprates. I will then discuss some experiments we performed using this system, including a measurement of the spin conductivity of a homogeneous Mott insulator at half-filling, a quantity which is difficult to measure in the cuprates, and highly challenging to calculate theoretically. For strong interactions, we observed diffusive spin transport driven by super-exchange and doublon-hole assisted tunneling. Extending the technique developed for this measurement to finite doping could shed light on the complex interplay between spin and charge in the Hubbard model.
--
Clare Ploucha
Director of Programs
Harvard Quantum Initiative
17 Oxford Street, Jefferson 357
Cambridge, MA 02138
P: 617-495-3388
Harvard Quantum Initiative Special Seminar
Wednesday, July 17
2:00 PM
Jefferson 250
Matthew Nichols (MIT)
Probing the 2D Fermi-Hubbard Model Under a Quantum Gas Microscope
Ultracold fermionic atoms in optical lattices offer a pristine platform for quantum simulation of materials with strong electron correlations. With the advent of quantum gas microscopy, we now have the abilities to observe and manipulate these systems at the level of single atoms and lattice sites. In this talk, I will describe how we perform microscopy on fermionic 40K, and how we realize the two-dimensional Fermi-Hubbard model, a paradigm believed to capture the essence of high-Tc superconductivity in the cuprates. I will then discuss some experiments we performed using this system, including a measurement of the spin conductivity of a homogeneous Mott insulator at half-filling, a quantity which is difficult to measure in the cuprates, and highly challenging to calculate theoretically. For strong interactions, we observed diffusive spin transport driven by super-exchange and doublon-hole assisted tunneling. Extending the technique developed for this measurement to finite doping could shed light on the complex interplay between spin and charge in the Hubbard model.
--
Clare Ploucha
Director of Programs
Harvard Quantum Initiative
17 Oxford Street, Jefferson 357
Cambridge, MA 02138
P: 617-495-3388
Hi all,
Pascal will speak at the group meeting tomorrow. His title and abstract can be found below. We will meet in SS571 at 2:30pm. If you'd like to connect to the call via Skype, please let me know.
Thanks,
Riley
Title: Machine learning of reaction barriers, genetic algorithms and chemical intuition
Abstract: This talk will give an overview of our (Gabe, Akshat, me and others) recent work on the prediction of activation energies of chemical reactions, the design of phosphine ligands, genetic algorithms based on our recently developed SELFIES representation of molecules and a combination of all to extract chemical intuition and design rules from machine learning approaches.