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1. Honeywell Fire Software Suite (HFSS) HFSS is the latest Honeywell Silent Knight programming software designed for the 6000 Series line of fire alarm control panels. HFSS expands on the previous SKSS platform and is required for programming the 6700, 6808, 6820 and 6820EVS panels.
2. There is no Mac version: the Student version is Win10 only. The 'full' version is for Win10 and a few flavours of Linux. Hfss 170; structural-mechanics 169.

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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 zlatko.minev@aya.yale.edu 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]

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You can additionally drop us an e-mail zlatko.minev@aya.yale.edu or zaki leghtas

1. Fork :fork_and_knife: the pyEPR top-level repository on GitHub. (How to fork a GitHub repo?). Share some love by staring :star: pyEPR.
2. Clone :point_down: your forked repository locally. (How to clone a GitHub repo?). Setup the pyEPR python code by following Installation and Python Setup.
3. Tutorials Learn how to use using the jupyter notebook tutorials
4. 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?).
5. Cite pyEPRarXiv: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.

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.

1. 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%

2. Install the required packages, including pint, qutip, and attrdict. In a terminal window

1. 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.
2. 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?)
3. 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 use

   No 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 use

   If this doesn't work, try installing from conda forge

   Qutip 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 file C:Anaconda2Libdistutilsdistutils.cfg with the following content

   Next, 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 call hfss.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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