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Description

Cirq is a Python library designed for creating, modifying, and optimizing quantum circuits, which can be executed on both quantum computers and simulators. It offers valuable abstractions tailored for the current generation of noisy intermediate-scale quantum computers, where understanding the hardware specifics is crucial for achieving optimal outcomes. The library includes integrated simulators that can manage both wave function and density matrix representations, capable of simulating noisy quantum channels through Monte Carlo methods or complete density matrix techniques. Additionally, Cirq is compatible with an advanced wavefunction simulator known as qsim, allowing users to replicate quantum hardware experiences through a quantum virtual machine. By utilizing Cirq, researchers can conduct experiments on Google's quantum processors, providing a platform for innovative exploration in quantum computing. For those interested in delving deeper, resources are available to learn about recent experiments and access the code needed to replicate these experiments independently.

Description

Advance your RF simulation capabilities to effectively design, analyze, and verify radio frequency integrated circuits (RFICs) beyond conventional methods. Gain assurance through the use of steady-state and nonlinear solvers tailored for both design and verification processes. Accelerate the validation of intricate RFICs with wireless standard libraries designed for efficiency. Ensure precise modeling of components on silicon chips to achieve optimal accuracy. Enhance your designs using load-pull analysis and parameter sweeps for better performance outcomes. Conduct RF simulations within the Cadence Virtuoso and Synopsys Custom Compiler environments to streamline your workflow. Employ Monte Carlo simulations and yield analysis to further boost performance metrics. Early in the design phase, evaluate error vector magnitude (EVM) in alignment with the latest communication standards to ensure compliance. Leverage cutting-edge foundry technology right from the start of your project. It is essential to monitor specifications like EVM through RF simulation during the early stages of RFIC design. The simulations account for the effects of layout parasitics, intricate modulated signals, and digital control circuitry. Utilizing Keysight RFPro Circuit allows for comprehensive simulation in both frequency and time domains, enhancing the overall design process and accuracy. This multifaceted approach ensures that your RFICs not only meet but exceed industry standards.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Bayesforge
PathWave Advanced Design System (ADS)
Python
Superstaq

Integrations

Bayesforge
PathWave Advanced Design System (ADS)
Python
Superstaq

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

quantumai.google/cirq

Vendor Details

Company Name

Keysight

Founded

2000

Country

United States

Website

www.keysight.com/us/en/products/software/pathwave-design-software/rfpro-circuit.html

Product Features

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