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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 approach to RF simulation by focusing on the comprehensive design, analysis, and verification of radio frequency integrated circuits (RFICs). Gain assurance through the use of steady-state and nonlinear solvers for both design and verification processes. The availability of wireless standard libraries expedites the validation of intricate RFICs. Prior to finalizing an RFIC, it is essential to confirm IC specifications through RF simulation. These simulations take into account various factors such as layout parasitics, intricate modulated signals, and digital control circuitry. With PathWave RFIC Design, you can perform simulations in both frequency and time domains, facilitating seamless transitions between your designs and Cadence Virtuoso. Achieve accurate modeling of components on silicon chips, and enhance your designs using optimization techniques like sweeps and load-pull analysis. Integration of RF designs into the Cadence Virtuoso environment is streamlined, while the implementation of Monte Carlo and yield analysis can significantly boost performance. Additionally, debugging is made easier with safe operating area alerts, allowing for immediate utilization of cutting-edge foundry technology to stay at the forefront of innovation. This holistic approach to RFIC design not only improves efficiency but also elevates the overall quality and reliability of the final products.
API Access
Has API
API Access
Has API
Integrations
Bayesforge
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 Technologies
Country
México
Website
www.keysight.com/us/en/products/software/pathwave-design-software/pathwave-rfic-design-software.html
Product Features
Product Features
PCB Design
3D Visualization
Autorouting
Collaboration Tools
Component Library
Design Rule Check
Differential Pair Routing
Schematic Editor