Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Microwave Office facilitates the design of various RF passive components, including filters, couplers, and attenuators, along with active devices functioning under small-signal (AC) conditions, such as low noise and buffer amplifiers. Its linear configuration allows for the simulation of S-parameters (Y/Z/H/ABCD), small-signal gain, linear stability, noise figure, return loss, and voltage standing wave ratio (VSWR), complemented by features like real-time tuning, optimization, and yield analysis. Each E-series Microwave Office portfolio encompasses synchronous schematic and layout editors, 2D and 3D viewers, and extensive libraries featuring high-frequency distributed transmission models, as well as surface-mount vendor component RF models complete with footprints. Additionally, it offers measurement-based simulations and RF plotting capabilities. Microwave Office PCB further enhances the design process by enabling both linear and nonlinear RF circuit design through the advanced APLAC HB simulator, which provides powerful multi-rate HB, transient-assisted HB, and time-variant simulation engines for comprehensive RF/microwave circuit analysis. This extensive toolset empowers engineers to push the boundaries of RF design and streamline their development workflows effectively.
Description
Discover innovative and effective turn-key algorithms designed specifically for data scientists, alongside robust circuit components tailored for quantum engineers. These turn-key implementations cater to the needs of data scientists, financial analysts, and various engineers alike. Delve into challenges related to binary optimization, machine learning, linear algebra, and Monte Carlo sampling, whether on simulators or actual quantum hardware. No background in quantum computing is necessary to get started. Utilize NISQ data loader circuits to transform classical data into quantum states, thereby enhancing your algorithmic capabilities. Leverage our circuit components for linear algebra tasks, such as distance estimation and matrix multiplication. You can also customize your own algorithms using these building blocks. Experience a notable enhancement in performance when working with D-Wave hardware, along with the latest advancements in gate-based methodologies. Additionally, experiment with quantum data loaders and algorithms that promise significant speed improvements in areas like clustering, classification, and regression analysis. This is an exciting opportunity for anyone looking to bridge classical and quantum computing.
API Access
Has API
No
API Access
Has API
Yes
Integrations
AWR Design Environment Platform
Yes
Amazon Web Services (AWS)
No
NVIDIA DRIVE
No
Integrations
AWR Design Environment Platform
No
Amazon Web Services (AWS)
Yes
NVIDIA DRIVE
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$2,500 per hour
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Cadence Design Systems
Country
United States
Website
www.cadence.com/en_US/home/tools/system-analysis/rf-microwave-design/awr-design-environment-platform.html
Vendor Details
Company Name
QC Ware
Founded
2014
Country
United States
Website
forge.qcware.com
Product Features
PCB Design
3D Visualization
No
Autorouting
No
Collaboration Tools
No
Component Library
No
Design Rule Check
No
Differential Pair Routing
No
Schematic Editor
No
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No