Strawberry Fields
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About
Strawberry Fields is a cross-platform Python library for simulating and executing programs on quantum photonic hardware. It integrates seamlessly with the Xanadu Quantum Cloud. Use Strawberry Fields to build and submit quantum programs for execution on next-gen photonic hardware. Provides high-level functions for solving practical problems, including graph and network optimization, machine learning, and chemistry. Includes a suite of world-class tools based on cutting edge algorithms to simulate photonic algorithms. Train and optimize your quantum programs with our end-to-end differentiable TensorFlow backend.
Platform
Features
• machine learning
• tensorflow support
• chemistry
• graph and network optimization
• submit jobs to quantum photonic processors
• compile quantum programs
• simulating quantum photonic hardware
FAQs
What is Strawberry Fields?
StrawberryFields is a software framework for photonic quantum computing. It allows the programming, execution, and simulation of photonic quantum algorithms.
Does Strawberry Fields work with hardware?
Yes, Strawberry Fields can be used to execute quantum photonic algorithms on hardware, via the Xanadu Quantum Cloud platform.
What distinguishes Strawberry Fields from other quantum software libraries?
Our focus is on photonic quantum computation. Strawberry Fields is a full-stack solution for constructing, compiling, simulating, optimizing, and executing photonic algorithms on hardware.
What kind of problems can Strawberry Fields help me solve?
Strawberry Fields provides high-level functions for solving practical problems, including graph and network optimization, machine learning, and chemistry.
Can I use Strawberry Fields for quantum machine learning?
Strawberry Fields provides a high-performance backend written in TensorFlow, allowing quantum photonic algorithms to be trained and optimized in a simulator.
Is Strawberry Fields open source?
Yes, Strawberry Fields is open source software developed under the Apache 2.0 License.
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