Search Results for "circuit python"
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Showing 37 open source projects for "circuit python"
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Amazon Braket Python SDK
A python SDK for interacting with quantum devices on Amazon Braket
The Amazon Braket Python SDK is an open-source library to design and build quantum circuits, submit them to Amazon Braket devices as quantum tasks, and monitor their execution. Before you begin working with the Amazon Braket SDK, make sure that you've installed or configured the following prerequisites. Download and install Python 3.7.2 or greater from Python.org. As a managed service, Amazon Braket performs operations on your behalf on the AWS hardware that is managed by Amazon Braket. Amazon... -
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MicroPython
Python implementation for microcontrollers and constrained systems
MicroPython is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimised to run on microcontrollers and in constrained environments. The MicroPython pyboard is a compact electronic circuit board that runs MicroPython on the bare metal, giving you a low-level Python operating system that can be used to control all kinds of electronic projects. MicroPython is packed full of advanced features... -
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Qiskit
Qiskit is an open-source SDK for working with quantum computers
.... The transpiler translates Qiskit code into an optimized circuit using a backend’s native gate set, allowing users to program for any quantum processor or processor architecture with minimal inputs. Users can run and schedule jobs on real quantum processors, and employ Qiskit Runtime to orchestrate quantum programs on cloud-based CPUs, QPUs, and GPUs. -
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PennyLane
A cross-platform Python library for differentiable programming
A cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network. Built-in automatic differentiation of quantum circuits, using the near-term quantum devices directly. You can combine multiple quantum devices with classical processing arbitrarily! Support for hybrid quantum and classical models, and compatible with existing machine learning libraries. Quantum circuits can be set up to interface with either NumPy... -
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Qulacs
Variational Quantum Circuit Simulator for Quantum Computation Research
Variational Quantum Circuit Simulator for Quantum Computation Research. Qulacs is a Python/C++ library for fast simulation of large, noisy, or parametric quantum circuits. Qulacs is developed at QunaSys, Osaka University, NTT, and Fujitsu. -
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OpenQASM
Quantum assembly language for extended quantum circuits
OpenQASM is an imperative programming language designed for near-term quantum computing algorithms and applications. Quantum programs are described using the measurement-based quantum circuit model with support for classical feed-forward flow control based on measurement outcomes. OpenQASM presents a parameterized set of physical logic gates and concurrent real-time classical computations. Its main goal is to serve as an intermediate representation for higher-level compilers to communicate... -
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Circuitscape.jl
Algorithms from circuit theory to predict connectivity
Circuitscape is an open-source program that uses circuit theory to model connectivity in heterogeneous landscapes. Its most common applications include modeling the movement and gene flow of plants and animals, as well as identifying areas important for connectivity conservation. The new Circuitscape is built entirely in the Julia language, a new programming language for technical computing. Julia is built from the ground up to be fast. As such, this offers a number of advantages over... -
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TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
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BQSKit
Berkeley Quantum Synthesis Toolkit
The Berkeley Quantum Synthesis Toolkit (BQSKit) [bis • kit] is a powerful and portable quantum compiler framework. It can be used with ease to compile quantum programs to efficient physical circuits for any QPU. A standard workflow utilizing BQSKit consists of loading a program into the framework, modeling the target QPU, compiling the program, and exporting the resulting circuit. -
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Emissary-ingress
open source Kubernetes-native API gateway for microservices
Emissary-Ingress is the most popular API Gateway Kubernetes-native - open-source, that delivers scalability, flexibility, and simplicity for some of the world's largest Kubernetes installations. Emissary-Ingress is an open source CNCF incubating project, and it uses the ubiquitous Envoy Proxy at its core. Once your organization hits a certain scale, a reverse proxy or load balancer isn’t enough for traffic management. If you’re using Kubernetes, you’re probably already at that scale and need... -
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OpenFermion
The electronic structure package for quantum computers
OpenFermion is an open source library for compiling and analyzing quantum algorithms to simulate fermionic systems, including quantum chemistry. Among other functionalities, this version features data structures and tools for obtaining and manipulating representations of fermionic and qubit Hamiltonians. For more information, see our release paper. Currently, OpenFermion is tested on Mac, Windows, and Linux. We recommend using Mac or Linux because the electronic structure plugins are only... -
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staq
Full-stack quantum processing toolkit
staq is a modern C++ library for the synthesis, transformation, optimization and compilation of quantum circuits. staq is written in standard C++17 and has very low external dependencies. It is usable either through the provided binary tools, or as a header-only library that can be included to provide direct support for parsing & manipulating circuits written in the OpenQASM circuit description language. Inspired by Clang, staq is designed to manipulate OpenQASM syntax trees directly, rather... -
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qaqarot
Quantum Computer Library for Everyone
The Blueqat project has been renamed the Qaqarot Project because of the branding strategy of blueqat inc. -
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PyAMS
PyAMS (Python for Analog and Mixed Signals) CAD approach
PyAMS (Python for Analog and Mixed Signals) is used to simplify modeling analog elements and simulate electronic circuit The objectives of PyAMS is: - Drawing circuit by schematic (CAD approach); - Simulating the circuit; - Creating new symbols for models; - Creating new models of electrical elements by using Python language with pyams_lib; - Presenting simulation results in waveform or in probe; - PyAMS is developed with Python 3+, ElectronJS and NodeJs - Licensed under: PyAMS... -
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LaSolv
Solves symbolic electrical AC circuit equations
In electrical engineering, AC circuits are often used in the design process. However, deriving the gain, input impedance or what have you is tedious and error prone. LaSolv takes a SPICE like description of your circuit and solves for whatever parameter you specify- voltage gain, trans-impedance, input impedance, etc. -
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SMIT
SMIT is a 3-phase Induction Motor Simulator, with or without failures
... was to develop a Python program that allows users to simulate three-phase induction motors, with or without faults, using computational models. The implemented faults are: short circuit in the stator turns, asymmetries in the rotor bars and mechanical failures. An engine parameter estimator from catalog data and a database development mode were also made available. Available in Portuguese and English versions. -
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What is DSPICE? DSPICE (Designing Circuits and Simulation by SPICE) is used to simplify modeling analog elements and simulate electronic circuit using SPICE Programming Language The objectives of DSPICE is: . Creating new spice models of electrical elements; . Creating new symbols for models; . Drawing circuit by schematic (CAD approach); . Simulating the circuit by ngspice commands; . Presenting simulation results in waveform; . Licensed under: DSPICE is free to use. GPLv3 ; . Open...
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Elliptical_Controller
Hardware and software controls for a self powered elliptical machine.
... to digital converters. Resolution is under 3 uV using only commodity CMOS op-amps. Power supplies are controlled by switching regulators without inductors while still being efficient with very simple circuit topologies. -
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Python Power Electronics
Circuit simulator for power electronics
An open source circuit simulator for power electronics applications. The objective is to provide a platform that will enable an advanced user to simulate large systems with several converters without being an excessive burden on the CPU. -
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QuCAT
Quantum Circuit Analyzer Tool
QuCAT stands for Quantum Circuit Analyzer Tool. This open source python library provides standard analysis tools for superconducting electronic circuits, built around Josephson junctions. QuCAT features an intuitive graphical or programmatical interface to create circuits, the ability to compute their Hamiltonian, and a set of complimentary functionalities such as calculating dissipation rates or visualizing current flows in the circuit. QuCAT currently supports quantization in the basis... -
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Precision_trimmer
Precision resistance value trim circuit using standard parts.
By using standard precision resistors in parallel and series with standard 1, 2, 5 multiple potentiometers, a precision, narrow range resistance trimmer can be created. Fixed resistors are more stable than potentiometers and the circuit reduces the effects of the potentiometer while also determining a precise range. For convenience, a Python script is used to assist in part selection. -
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AquarioPi
Automate the schedule of multiple remote controlled aquarium lights
AquarioPi is an IR controller that will change the light settings around the clock on multiple lights, and multiple brands of infrared (IR) remote controlled lights. All that's required is a Raspberry Pi, a resistor, an IR LED, and a breadboard or other type of circuit board or connection to the LED and resistor. Visit the AquarioPi Wiki for more information. -
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aioulinux
Linux for Arduino and Makers developers
Hello, I'm the Aioulinux founder, eager to professionally revive the project. Since 2018, the demand for an IoT and Arduino-tailored environment has been evident. Seeking partners for a 2024 version targeting schools and IoT companies, aiming for a secure and comprehensive platform. If you share this vision and wish to collaborate, reach out. Let's revive Aioulinux stronger than ever! Now seeking partners: Live Distro Specialist: Expert in live distributions to ensure... -
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ECEbuntu
ECEbuntu - a customized operating system designed for ECE
ECEbuntu is a customized operating system designed for electrical and computer engineering (ECE) students. ECEbuntu is targeted to universities and students as it represents an environment that contains more than 30 pre-installed software and packages all catering to undergraduate course-work in ECE. ECEbuntu supports a range of tools including programming tools, tools for circuit analysis and pcb design, mathematical and numerical analysis tools, network analysis and tools for microwave and RF... -
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dxf2pcb
Convert DXF drawings of circuit boards to gEDA-PCB files.
This Python script reads in a DXF (ascii) file and generates a PCB output compatible with PCB Designer, part of the gEDA suite. It is designed for two purposes: One is to generate a PCB snippet from a mechanical drawing (such as a board outline), the other is to produce element files from CAD drawings. PCB snippets are easily imported into an existing gEDA-PCB project using File -> Load Layout to Buffer. Generated element files are ready to use (except for special cases like no-paste flags...
