currIQunet
You can deliver the best in curriculum management using tech that is simple to learn and easy to use. It will make your experience the best ever! This is what drives us. It is our mission. Your brand and impact are driven by your courses and programs. Your success depends on your ability to design, build, and manage your curriculum. currIQunet META, the most comprehensive curriculum-centric platform, allows you to manage your curriculum in the most efficient way possible. Our solution does not limit your curriculum requirements, both today and in the future. Our combined experience in higher education and technical expertise make curricula management the best on the market. currIQunet META is built on your processes, your data and your way. The technology adapts to your needs. Technology should not control, or drive, how you manage your curriculum processes.
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CLEAR
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• Protect legacy gear and outdated network equipment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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QX Simulator
The development of large-scale physical quantum computers is proving to be a formidable task, and in parallel with efforts to create these machines, considerable attention is being directed towards crafting effective quantum algorithms. Without a fully realized large quantum computer, it becomes essential to utilize precise software simulations on classical systems to replicate the execution of these quantum algorithms, allowing researchers to analyze quantum computer behavior and refine their designs. In addition to simulating ideal, error-free quantum circuits on a faultless quantum computer, the QX simulator offers the capability to model realistic noisy executions by incorporating various error models, such as depolarizing noise. Users have the option to activate specific error models and set a physical error probability tailored to mimic a particular target quantum computer. This defined error rate can be based on factors like gate fidelity and qubit decoherence characteristics of the intended platform, ultimately aiding in the realistic assessment of quantum computation capabilities. Thus, these simulations not only inform the design of future quantum computers but also enhance our understanding of the complexities involved in quantum processing.
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Google Cirq
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.
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