This tutorial shows you how you can transfer files from a hard drive using the Apple HFS+ file system to a Windows computer.The software I use in the video i. McDonald’s therefore considered that an ad for a range with 16 non-HFSS products out of a total of 22 was unlikely to be regarded as an ad for an HFSS product, and that the Happy Meal brand would be classified as a non-HFSS brand according to that guidance. HFSS Tutorials for Beginners to Professionals. This is the tutorial video on ANSOFT HFSS Software. If you are looking for HFSS Tutorial then this video playl. Introduction ANSYS HFSS is an industry standard tool for simulating 3-D full-wave electromagnetic fields. Students registered in ECE451 can get free access to ANSYS HF package from the University of Illinois Software Webstore. Follow the installation guide. to install the software on your PC. Hfss Linux Crack Windows 8 Serial Sql Anywhere 12 Registration Running Man Eps 171-172 Sub Indo Alvida D Day Mp3 Black Death 2010 Movie Download Pmsm Foc Software Library V2.0 Program Toko Ipos 4 Keygen Crack Patch Avid Sibelius 7 Full Iso And Keygen For Mac Play Digging Jim Game Havij 1 17 Pro Portable Restrooms.
A blanket ban on online ads for food and drinks high in fat, sugar or salt (HFSS) will inflict ”untold harm” to brands and the creative sector while also compounding the current downturn.
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That's according to a joint statement by the Advertising Association (AA), the Incorporated Society of British Advertisers (Isba), the Institute of Practitioners in Advertising (IPA) and the Interactive Advertising Bureau (IAB).
The united front comes as the government consults on a complete ban of all online advertising relating to junk food.
Why are ad bodies opposed to further regulation around HFSS food?
- In a direct appeal to the government to think again, the trade bodies wrote: ”The proposal to completely outlaw online advertising of certain food and drink is a severe and disproportionate measure that goes far beyond the government’s objective of protecting children. Instead, it will do untold harm to the UK’s vitally important creative sector and food and drink businesses at an economically precarious time.”
- Arguing that obesity is a complex problem requiring complex solutions, the grouping warns that a one-size-fits-all approach will do more harm than good, choking a key linchpin of the UK economy.
- Expounding on the significant economic benefits to UK Plc, the statement continues: ”The advertising sector is a proven engine of the UK economy, and we would urge ministers not to damage the jobs and tax revenue it creates. Beyond these direct benefits, the UK’s world-leading advertising sector also underpins the success of the food and drink industry – itself the UK’s largest manufacturing sector.”
- Fears have been expressed that a desire for headline-grabbing initiatives to convey action betrays a paternalistic approach at odds with the well-oiled digital media industry which already offers more targeted approaches.
- Hammering home the potential for unintended consequences, the trade bodies argue that a global pandemic is not the time to hit the industry with Draconian new restrictions.
- The trade bodies conclude: ”Businesses that should be devoting their time and energy to surviving this economically unpredictable situation will now have to devote precious resources to responding to the government and working out whether they will even be able to advertise their products in future. To borrow the Prime Minister’s language, this is not an ‘oven-ready’ policy; it is not even half-baked. But it does have all the ingredients of a kick in the teeth for our industry from a government which we believed was interested in prioritising oven-ready growth alongside targeted interventions to support health and wellbeing.”
- The statement was co-signed by AA chief executive Stephen Woodford, Isba director general Phil Smith, IPA director general Paul Bainsfair and IAB chief exec Jon Mew.
Why does the government want to ban junk food ads?
- The government feels obliged to act to stem an obesity epidemic among children that presents a crippling health ’time bomb’ for the nation without immediate action.
- A fierce debate has erupted around the nature of any potential solution, however, with advertisers firmly at odds with the belief that simply shutting down commercials will be enough to change behaviour.
- The UK government has pledged to ban television adverts for food and drink that is high in fat, salt and sugar before the 9pm watershed, and a blanket ban on all online promotions for sweets and fast food may follow.
- The pressure to act has been building following evidence that obesity is an exacerbating factor in Covid-19 fatalities, but the government’s own research found that such a ban would only reduce a child’s intake by 1.7 calories a day, amounting to nothing more than an ”irrelevant symbolic gesture”.
- Any interventions of this nature risk significantly undermining an ad industry that is just as addicted to junk food as consumers, relying on the sector for a significant proportion of its income.
- Analysis by Cancer Research UK found that close to half of all food adverts shown on ITV, Channel 4, Channel 5 and Sky One were for HFSS products, increasing to 60% during the 6pm to 9pm prime-time window when children are more likely to be present.
- Any ban could cost British advertisers as much as £200m in lost revenue.
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Project description
Automated Python module for the design and quantization of Josephson quantum circuits
pyEPR Working group meeting -- Planning for the future of pyEPR
- Please sign-up here: https://github.com/zlatko-minev/pyEPR/issues/45 or directly here :bangbang: :beers:
- See pyEPR wiki for notes from first meeting.
- We will schedule a follow-up meeting in 1-2 mo.
Abstract
Superconducting microwave circuits incorporating nonlinear devices, such as Josephson junctions, are one of the leading platforms for emerging quantum technologies. Increasing circuit complexity further requires efficient methods for the calculation and optimization of the spectrum, nonlinear interactions, and dissipation in multi-mode distributed quantum circuits. Here, we present a method based on the energy-participation ratio (EPR) of a dissipative or nonlinear element in an electromagnetic mode. The EPR, a number between zero and one, quantifies how much of the energy of a mode is stored in each element. It obeys universal constraints---valid regardless of the circuit topology and nature of the nonlinear elements. The EPR of the elements are calculated from a unique, efficient electromagnetic eigenmode simulation of the linearized circuit, including lossy elements. Their set is the key input to the determination of the quantum Hamiltonian of the system. The method provides an intuitive and simple-to-use tool to quantize multi-junction circuits. It is especially well-suited for finding the Hamiltonian and dissipative parameters of weakly anharmonic systems, such as transmon qubits coupled to resonators, or Josephson transmission lines. We experimentally tested this method on a variety of Josephson circuits, and demonstrated agreement within several percents for nonlinear couplings and modal Hamiltonian parameters, spanning five-orders of magnitude in energy, across a dozen samples. Here, in this package, all routines of the EPR approach are fully automated.arXiv:2010.00620
Documentation
Who uses pyEPR?
- Yale University, Michel Devoret lab QLab, CT, USA
- Yale University, Rob Schoelkopf lab RSL, CT, USA
- QUANTIC (QUANTUM INFORMATION CIRCUITS), PARISINRIA, ENS, MINES PARISTECH, UPMC, CNRS. Groups of Zaki Leghtas and team. France
- Quantum Circuit Group Benjamin Huard, Ecole Normale Supérieure de Lyon, France
- Emanuel Flurin, CEA Saclay, France
- Ioan Pop group, KIT Physikalisches Institut, Germany
- UC Berkeley, Quantum Nanoelectronics Laboratory, Irfan Siddiqi, CA, USA
- Quantum Circuits, Inc., CT, USA
- Seeqc (spin-out of Hypres) Digital Quantum Computing, USA
- Serge [Rosenblum Lab] quantum circuits group (https://www.weizmann.ac.il/condmat/rosenblum/) in the Weizmann Instatue, Israel
- University of Oxford - LeekLab - Peter Leek Lab, UK
- Britton Plourde Lab, Syracuse University, USA
- Javad Shabani Lab Quantum Materials & Devices, NYU, NY, USA
- UChicago Dave Schuster Lab, USA
- SQC lab - Shay Hacohen Gourgy, Israel
- Lawrence Berkeley National Lab
- Colorado School of Mines, USA
- Syracuse University, USA
- IPQC, SJTU, Shanghai, China
- Bhabha Atomic Research Centre, India
- Quantum Computing UK
- Alice&Bob, France
- Centre for Quantum Technologies / Qcrew
- Quantum Device Lab ETHZ; Andreas Wallraff
- ... and many more! (Please e-mail
[email protected]
with updates.)
How do I cite pyEPR
when I publish?
Cite the following:
- Z.K. Minev, Z. Leghtas, et al. (arXiv:2010.00620) (2020)or the earlier
- Z.K. Minev, Ph.D. Dissertation, Yale University (2018), Chapter 4. (arXiv:1902.10355) (2018) [when using this, use the arXiv id]
You can additionally drop us an e-mail
[email protected]
or zaki leghtas
- Fork :fork_and_knife: the
pyEPR top-level repository
on GitHub. (How to fork a GitHub repo?). Share some love by staring :star: pyEPR. - Clone :point_down: your forked repository locally. (How to clone a GitHub repo?). Setup the
pyEPR
python code by following Installation and Python Setup. - Tutorials Learn how to use using the jupyter notebook tutorials
- Stay up to date Enjoy and make sure to git add the master remote branch
git remote add MASTER_MINEV git://github.com/zlatko-minev/pyEPR.git
(help?). - Cite
pyEPR
arXiv:2010.00620 / arXiv:1902.10355 and enjoy! :birthday:
Start-up example
The following code illustrates how to perform a complete analysis of a simple two-qubit, one-cavity device in just a few lines of code with
pyEPR
. In the HFSS file, before running the script, first specify the non-linear junction rectangles and variables (see Sec. pyEPR Project Setup in HFSS). All operations in the eigen analysis and Hamiltonian computation are fully automated. The results are saved, printed, and succinctly plotted. Tutorial 1 - Overview | Tutorial 2 - Setup of Conda & Git | Tutorial 3 - Setup of Packages & Config |
---|
Use
pyEPR
directly from the source, and pull updates from the master git repo, since we often update it. The following steps explain how to set up Python 3, fork the pyEPR
repo and use it.Please keep up to date with pyEPR
by using git. We like to make it simple using a git-gui manager, SourceTree or GitHub Desktop.Quick setupWe recommend the approach in the following section, which will be most up to date, but for quick use you can use the conda forge channel to install
or the PyPi channel
Recommended procedure.
- Install Python 3.x, we recommend the Anaconda distribution.
The code is currently under dev with Python 3.6/7. It was developed under 2.7 and should still be compatible.
After the install, make sure you configure your system PATH variables. On Windows, in the taskbar search or control panel, search for 'Edit environment variables for your account'. In the section System Variables, find the PATH environment variable and select it. Click Edit. PlaceC:Anaconda3;C:Anaconda3Scripts;C:Anaconda3Librarybin;
at the beginning of the path. If you have a previous Python installation this step is very important, especially to compile the qutip module. You may verity your path using the following command in the Command Prompt (terminal):sh $ echo %PATH%
- Install the required packages, including pint, qutip, and attrdict. In a terminal window
- Fork this pyEPR repository on GitHub with your GitHub account. You may clone the fork to your PC and manage it using the SourceTree git-gui manager.
- Add the pyEPR repository folder to your python search path. Make sure to add the git remote to the master is set up,
git remote add MASTER_MINEV git://github.com/zlatko-minev/pyEPR.git
! (Help?) - Edit pyEPR module
_config_user.py
to set your>First run: pint error: system='mks' unknown.
Please update to pint version newer than 0.7.2. You may useNo attribute
StringIO
during do_EPR_analysis()AttributeError: module 'pandas.compat' has no attribute 'StringIO'
Caleb pointed this out, see here and here for solution. You need to change the pandas version. [pyEPR to be upgraded]This was solved in this commit. Try to update your pyEPR version to the current master.When importing qutip an error occurs
AttributeError: module 'numpy' has no attribute '__config__'
You probably have to update your numpy installation. For me, the following bash sequence worked:Qutip installation
You may also choose to install the optional qutip package for some advanced numerical analysis of the Hamiltonian.We use Qutip to handle quantum objects. Follow the instruction on their website. As of Aug. 2017, qutip is part of conda, and you can useIf this doesn't work, try installing from conda forgeQutip installation -- alternative, manual install
If you wish to install manually, follow the following procedure. Some of this can get a bit tricky at times.First, you need to install a C compiler, since qutip uses Cython. If you dont have VS9, gcc, or mingw installed, the following works:Let anaconda know to use this compiler by creating the fileC:Anaconda2Libdistutilsdistutils.cfg
with the following contentNext, let's install qutip. You can choose to use conda intall or pip install, or pull from the git directly as done here:COM Error on opening HFSS
Check the project and design file names carefully. Make sure that the file-path doesn't have apostrophes or other bad characters, such as in C:Minev's PCmy:Project. Check that HFSS hasn't popped up an error dialogue, such as 'File locked.' Manually open HFSS and the file.COM error on calculation of expression
Either HFSS popped an error dialog, froze up, or you miss-typed the name of something.HFSS refuses to close
If your script terminates improperly, this can happen. pyHFSS tries to catch termination events and handle them. Your safety should be guaranteed however, if you callhfss.release()
when you have finished. Use the Task-manager (Activity Monitor on MAC) to kill HFSS if you want.Parametric Sweep Error
When running a parametric sweep in HFSS, make sure you are actually saving the fields for each variation before running pyEPR. This can be done by right-clicking on your ParametricSetup -> properties -> options -> 'Save Fields and Mesh'.Spyder pops up command window cmd with tput.exe executed
This problem is due to pandas 0.20.1, update to 0.20.3 or better solves this issue.ValueError: cannot set WRITEABLE flag to True of this array
This error happens when trying to read in an hdf file with numpy version 1.16, see git issue here. A solution is to downgrade numpy to 1.15.4 or upgrade to newer versions of hdf and numpy.- Authors:Zlatko Minev & Zaki Leghtas, with contributions from many friends and colleagues. (arXiv:2010.00620)
- 2015 - present.
- Contributors: Phil Rheinhold, Lysander Christakis, Devin Cody, ...Original versions of pyHFSS.py and pyNumericalDiagonalization.py contributed by Phil Rheinhold, excellent original repo.
- Terms of use: Use freely and kindly cite the paper (arXiv link to be posted here) and/or this package.
- How can I contribute? Contact Z. Minev or Z. Leghtas.
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