Strawberry Fields
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About
Strawberry Fields is a cross-platform Python library that facilitates the simulation and execution of quantum photonic programs. It integrates with Xanadu's quantum hardware, allowing users to compile, simulate, and submit jobs for execution on advanced photonic processors. The library supports high-level functions for solving practical problems in areas like graph optimization, machine learning, and chemistry. Additionally, it features compatibility with TensorFlow for optimizing quantum algorithms and is an open-source project under the Apache 2.0 License.
Platform
Features
• cross-platform python library
• open-source under apache 2.0 license
• quantum photonic programming
• execution on xanadu hardware
• integrated with tensorflow
• high-level functions for optimization
FAQs
What is Strawberry Fields?
Strawberry Fields is a software framework for photonic quantum computing, allowing programming, execution, and simulation of photonic quantum algorithms.
Does Strawberry Fields work with hardware?
Yes, it can execute quantum photonic algorithms on hardware via the Xanadu Quantum Cloud platform.
How do I request access to Xanadu's quantum photonic hardware?
Hardware access can be requested by contacting the developers directly.
What distinguishes Strawberry Fields from other quantum software libraries?
It focuses on photonic quantum computation, presenting unique near-term applications and advantages, using a different gate set compared to qubit-based systems.
What kind of problems can Strawberry Fields help me solve?
Strawberry Fields provides high-level functions for graph and network optimization, machine learning, and chemistry problems.
Can I use Strawberry Fields for quantum machine learning?
Yes, it has a TensorFlow backend for training and optimizing algorithms and is related to the PennyLane library for broader quantum machine learning applications.
Is Strawberry Fields open source?
Yes, it is open source software developed under the Apache 2.0 License.
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