Bayesforge Description
Bayesforge™ is a specialized Linux machine image designed to assemble top-tier open source applications tailored for data scientists in need of sophisticated analytical tools, as well as for professionals in quantum computing and computational mathematics who wish to engage with key quantum computing frameworks. This image integrates well-known machine learning libraries like PyTorch and TensorFlow alongside open source tools from D-Wave, Rigetti, and platforms like IBM Quantum Experience and Google’s innovative quantum language Cirq, in addition to other leading quantum computing frameworks. For example, it features our quantum fog modeling framework and the versatile quantum compiler Qubiter, which supports cross-compilation across all significant architectures. Users can conveniently access all software through the Jupyter WebUI, which features a modular design that enables coding in Python, R, and Octave, enhancing flexibility in project development. Moreover, this comprehensive environment empowers researchers and developers to seamlessly blend classical and quantum computing techniques in their workflows.
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The CLEAR™ Cryptosystem is a FIPS-140-3 validated encryption SDK designed to secure files, streaming media, databases, and network communications with cutting-edge, programmable encryption technology. Fully compatible with all modern computing platforms, CLEAR™ provides a simple, turnkey solution for integrating advanced encryption into existing security systems. With Post-Quantum Cryptography (PQC) capabilities, it delivers future-proof protection against emerging cybersecurity threats, ensuring your data is secured with the strongest available encryption methods.
Key Features:
• PQC Encryption Strength ( 512bit - 10,240bit)
• Ultra Low-Latency Streaming (< 11µs / Packet)
• Hyperkey™ Technology with embedded ACL
• Multi-Factor / Bio-Metric Symmetric Keys
• Plug-N-Play Entropy - CSRNG, QRNG, HRNG
Benefits:
• Pass cybersecurity audits with best-in-class tools
• Share data securely via Sharepoint, Dropbox, etc.
• Protect legacy gear and outdated network equipment
• Extend protection to files in 3rd party portals
• Future lasting power - long-term data archival
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QC Ware Forge
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.
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TensorFlow
TensorFlow is a comprehensive open-source machine learning platform that covers the entire process from development to deployment. This platform boasts a rich and adaptable ecosystem featuring various tools, libraries, and community resources, empowering researchers to advance the field of machine learning while allowing developers to create and implement ML-powered applications with ease. With intuitive high-level APIs like Keras and support for eager execution, users can effortlessly build and refine ML models, facilitating quick iterations and simplifying debugging. The flexibility of TensorFlow allows for seamless training and deployment of models across various environments, whether in the cloud, on-premises, within browsers, or directly on devices, regardless of the programming language utilized. Its straightforward and versatile architecture supports the transformation of innovative ideas into practical code, enabling the development of cutting-edge models that can be published swiftly. Overall, TensorFlow provides a powerful framework that encourages experimentation and accelerates the machine learning process.
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Integrations
Company Details
Company:
Quantum Programming Studio
Website:
artiste-qb.net/bayesforge/
Media
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Product Details
Platforms
Linux
Customer Support
Online Support
Bayesforge Features and Options
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