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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]

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.

Tutorial 1 - Overview
Tutorial 2 - Setup of Conda & Git
Tutorial 3 - Setup of Packages & Config
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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

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  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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Hfss For Mac Software

— Offered by College of Engineering and the Department of Electrical Engineering —


The two Introduction to Antennas courses offered focus on the design, fabrication and measurement of microwave antennas. Save time and money by completing these courses exclusively online without the expense of travel.

Get one-on-one personal instruction from an expert and design your own antenna. This is the only online course that offers theory and software design training using the industry-leading High-Frequency Structure Simulator (HFSS) simulation package. The course is ideal for electrical engineers who want to learn about antennas to gain new expertise while having no prior knowledge of the subject. Complete the course at your own pace. For example, four hours each weekend for eight weeks or complete it all in just one week.

The cost includes an electronic copy of the antenna textbook, unlimited access to HFSS during the course period, videos of lectures and notes, videos of HFSS training, videos of fabrication using a milling machine, and measurements using a network analyzer and an anechoic chamber. Upon completion of the lectures, you will be assigned a project to design and test your own antenna. Then, an experienced U of A engineer will fabricate your designed antenna, measure its performance in our lab, and send you the data and the antenna to write your final project report.

Upon successful completion of each course, participants will receive a certificate of completion. Successful course completion also unlocks access to faculty expertise and antenna fabrication facilities at reduced rates for proof-of-concept work.

NOTE - Currently, the fabrication lab is not available for the final project. The course can be successfully completed without this service.

Required: B.S. in Electrical Engineering or B.S. in Physics

If you feel you may have the background or experience to enroll in these courses but do not have the required degree, please contact tdryer@uark.edu to discuss options.

Available Online / On-Demand

40 Hours Per Course

Your course will be delivered via Blackboard, the University of Arkansas' online learning system. Within approximately 24 hours of your registration, you will receive a welcome email from a U of A Professional & Workforce Development staff member and a second email from Microsoft Invitations with information about how to set up and access your Blackboard account.

Please note that if you registered on a weekend or holiday, or if the University of Arkansas is closed due to inclement weather, there may be a delay in providing you with your login information.

For further assistance, contact U of A Professional & Workforce Development at uarogers@uark.edu or 479-464-5024.

Suggested Equipment

Registrants may need the following:

  • reliable access to a computer with Windows or Mac OS
  • reliable access to the Internet
  • a webcam
  • a microphone
  • speakers or headphones
  • minimum 4GB RAM

Please note that some corporate firewalls may not allow the use of Blackboard, the University's online learning system. If your IT Department cannot adjust this for you, you may need to plan to complete the course on another device at a different location.

Group discounts available: 10% discount for a group of 3 to 4 people (same company), 20% discount for a group of 5 or more people (same company). Please call 479-464-5024 for the promo code to use when enrolling. Discounts cannot be combined.

Instructor

Magda El-Shenawee, Ph.D.

Professor, Electrical Engineering
University of Arkansas

Video: Lesson 4 (1:02)

Video: Lab 6 (1:02)

Available Now

Introduction to Antennas 1

Single Antenna

This course contains is an in-depth exploration and analysis of the basic antenna types: small dipoles, half wave dipoles, image theory, monopoles, and small loop antennas. These concepts are applied to the completion of realistic projects utilizing the commercial electromagnetic simulator package (HFSS) for antenna analysis and design. Emphasis will be on using simulation to visualize a variety of antenna radiation patterns, fabrication of antennas using a milling machine and measuring the reflection coefficient and radiation pattern of the designed antenna using the Network Analyzer.

Prerequisite

Introductory course covering electromagnetism in electrical engineering (Maxwell’s equations, electric and magnetic fields, boundary conditions) or closely related course.

Course Objectives

After completing this course, students will be able to:

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  • Articulate the principles of electromagnetic energy radiation in free space by antennas.
  • Examine antenna fundamentals, antenna parameters, characteristics of various antenna types such as dipole antenna, monopole antenna, loop antenna, etc.
  • Utilize commercial simulation software (HFSS) for antenna performance analysis.
  • Design a single antenna using HFSS.
  • Fabricate a single antenna to operate in microwave frequency range.
  • Clarify measurements of reflection coefficient of the antenna and its radiation pattern.
  • Clarify the process and function of the Network Analyzer.

Textbook

Warren L Stutzman and Gary A. Thiele, Antenna Theory and Design, 3rd edition, Wiley 1998.

Specific Topics (Chapters 1, 2, 3, 5, 11)

  1. Introduction of antennas concepts.
  2. Review of transmission line theory.
  3. Electromagnetic spectrum.
  4. Antenna characteristics (radiation pattern, directivity, gain, impedance, bandwidth, and polarization).
  5. EM fundamentals (quick review of Maxwell’s equations).
  6. Ideal dipole antenna.
  7. Antenna near and far field approximations.
  8. Radiation pattern of ideal dipole and E-and H-planes.
  9. Line source antenna of arbitrary length.
  10. Ray approximation of antenna far field.
  11. Radiation pattern of line source fed with uniform current.
  12. Half wavelength dipole and monopole antennas.
  13. Small loop antenna.
  14. Microstrip patch antennas.
  15. Visualization using HFSS package (recorded lab tutorial).
  16. Final project to design specific microstrip antenna, fabrication and measurement.
  17. Fabrication tutorial using milling machine (recorded lab tutorial).
  18. Measurements tutorial using the Network Analyzer (recorded lab tutorial).

Course Certificate

In order to receive a certificate of completion for this course, you need to submit the required reports of Project 1, Project 2 and Final Project. In the meantime, the Teaching Assistant will help you in revising your projects to achieve satisfactory reports.


$1,999

Cost includes all materials: book, HFSS software and antenna fabrication supplies

Coming Soon

Introduction to Antennas 2

Array of Antennas

This course explores antenna arrays: array factor, uniformly excited equally spaced arrays, pattern multiplication principles, nonuniformly excited arrays, steering beam concept and phased array, as well as feeding networks of arrays. Concepts are applied to realistic projects utilizing the commercial electromagnetic simulator package (HFSS) for antenna analysis and design. Emphasis will be on using simulation to visualize a variety of antenna arrays radiation patterns, impedance matching, Floquet ports and infinite arrays, fabrication of antenna arrays using a milling machine, a nd measuring the reflection coefficient of the designed array network using the Network Analyzer.

Prerequisite

Introduction to Antennas 1

Course Objectives

After completing this course, students should be able t o learn the following:

  • Examine linear and planar antenna array fundamentals such as array factor, uniformly excited equally spaced arrays, pattern multiplication principles, nonuniformly excited arrays, phased arrays.
  • Describe the concept and function of an array network.
  • Utilize Commercial simulation software (HFSS) for antenna array performance analysis.
  • Design an antenna array using HFSS.
  • Analyze antennas in communication systems.
  • Fabricate an antenna array to operate in microwave frequency range.
  • Conduct measurements of reflection coefficient of the antenna array and the concept, function and process of the Network Analyzer.

Textbook

Warren L Stutzman and Gary A. Thiele, Antenna Theory and Design, 3rd edition, Wiley 1998.

Specific Topics (Chapters 4, 8, 11, 13)

  1. Antenna array fundamentals such as array factor.
  2. Linear antenna array: uniformly excited equally spaced arrays.
  3. Complete array pattern and pattern multiplication.
  4. Directivity of uniformly excited equally spaced linear arrays.
  5. Multidimensional antenna array.
  6. Mutual coupling in antenna arrays.
  7. Array of microstrip antennas.
  8. Reciprocity and antenna measurements (pattern and gain).
  9. Antennas in free space system in communications.
  10. Antennas in a communication system.
  11. Visualization using HFSS package (recorded lab tutorial)
  12. Fabrication of antenna array using milling machine
  13. Measurements of antenna array using the Network Analyzer and anechoic chamber.

Course Certificate

In order to receive a certificate of completion for this course, you need to submit the required reports of Project 1, Project 2 and Final Project. In the meantime, the Teaching Assistant will help you in revising your projects to achieve satisfactory reports. The fabrication and measurement of your designed antenna will be conducted by the Teaching Assistant as part of your fees paid in this course.


$1,499

This course is not yet available, but we can notify you when it is.