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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
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
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