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Description
Leverage cutting-edge cloud technology and educational materials to create and enhance quantum algorithms effectively. You will have the opportunity to access a wide range of current quantum hardware as you work towards achieving fault-tolerant quantum systems. Tackle complex challenges and expand your skill set using exceptional onboarding and educational resources such as Microsoft Learn, Quantum katas tutorials, real-world industry case studies, and university-level courses. Utilize the Azure Quantum resource estimator tool to assess the required number of logical and physical qubits, as well as the runtime necessary for executing quantum applications on advanced quantum computers in the future. Identify the specific qubit count essential for your quantum solutions and analyze the variances among different qubit technologies. Additionally, prepare and optimize quantum solutions for deployment on next-generation quantum systems, ensuring they are ready for the demands of future innovations in quantum computing. By utilizing these resources, you can contribute to the advancement of quantum technologies.
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.
API Access
Has API
API Access
Has API
Integrations
Azure Marketplace
Bayesforge
Microsoft Azure
Python
Superstaq
Integrations
Azure Marketplace
Bayesforge
Microsoft Azure
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
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/quantum
Vendor Details
Company Name
Founded
1998
Country
United States
Website
quantumai.google/cirq