QX Simulator Alternatives

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

LIQUi|> is a software architecture and tool suite for quantum computing. It includes a programming language, optimization and scheduling algorithms, and quantum simulators. LIQUi|> can be used to translate a quantum algorithm written in the form of a high-level program into the low-level machine instructions for a quantum device. LIQUi|> is being developed by the quantum architectures and computation Group (QuArC) at Microsoft Research. To aid in the development and understanding of quantum protocols, quantum algorithms, quantum error correction, and quantum devices, QuArC has developed an extensive software platform called LIQUi|>. LIQUi|> allows the simulation of Hamiltonians, quantum circuits, quantum stabilizer circuits, and quantum noise models, and supports client, service, and cloud operation.

Use state-of-the-art cloud tools and learning resources to help you build and refine quantum algorithms. Gain access to a diverse portfolio of today’s quantum hardware. Access a diverse portfolio of today’s quantum hardware to build toward the emergence of fault-tolerant quantum systems. Navigate complexity and develop new skills with world-class onboarding and education resources including Microsoft Learn, Quantum katas tutorials, industry case studies, and a university curriculum. Use the Azure Quantum resource estimator tool to estimate the number of logical and physical qubits and runtime required to execute quantum applications on future-scaled quantum computers. Determine the number of qubits needed for a quantum solution and evaluate the differences across qubit technologies. Prepare and refine quantum solutions to run on future-scaled quantum machines.

Unique and efficient turn-key algorithms for data scientists. Powerful circuit building blocks for quantum engineers. Turn-key algorithm implementations for data scientists, financial analysts, and engineers. Explore problems in binary optimization, machine learning, linear algebra, and monte carlo sampling on simulators and real quantum hardware. No prior experience with quantum computing is required. Use NISQ data loader circuits to load classical data into quantum states to use with your algorithms. Use circuit building blocks for linear algebra with distance estimation and matrix multiplication circuits. Use our circuit building blocks to create your own algorithms. Get a significant performance boost for D-Wave hardware and use the latest improvements for gate-based approaches. Try out quantum data loaders and algorithms with guaranteed speed-ups on clustering, classification, and regression.

Superstaq’s low-level, device-specific optimizations enable users to draw the best performance out of today's hardware across multiple qubit modalities. Qiskit and Cirq open source frontends allow users to submit to leading quantum hardware platforms from IBM, Infleqtion, OQC, Rigetti, and more. Leverage our pre-built library of quantum applications to benchmark the performance on otherwise "impossible" problems with quantum hardware. Superstaq's library of sophisticated compilation and noise mitigation techniques, such as dynamical decoupling, automatically optimizes quantum programs based on the target hardware's native gate set. Whether it's Cirq or Qiskit, Superstaq enables you to write quantum programs that target virtually any quantum computer.

Cirq is a Python software library for writing, manipulating, and optimizing quantum circuits, and then running them on quantum computers and quantum simulators. Cirq provides useful abstractions for dealing with today’s noisy intermediate-scale quantum computers, where details of the hardware are vital to achieving state-of-the-art results. Cirq comes with built-in simulators, both for wave functions and for density matrices. These can handle noisy quantum channels using monte carlo or full density matrix simulations. In addition, Cirq works with a state-of-the-art wavefunction simulator: qsim. These simulators can be used to mock quantum hardware with the quantum virtual machine. Cirq is used to run experiments on Google's quantum processors. Learn more about the latest experiments and access the code to se how to run them yourself.

Circuit can be exported to multiple quantum programming languages/frameworks and can be executed on various simulators and quantum computers. You can use simple drag & drop user interface to assemble circuit diagram which automatically translates to code, and vice versa - you can type the code and the diagram is updated accordingly. QPS Client is running on your local machine (or in the cloud) where your quantum programming environment is installed. It opens a secure websocket connection with Quantum Programming Studio server and executes quantum circuits (that you design in the web UI) on your local simulator or on a real quantum computer.

Quantum computing offers a path forward to rapid and cost-effective development of new molecules and materials. InQuanto, a state-of-the-art quantum computational chemistry platform, represents a critical step toward this goal. Quantum chemistry aims to accurately describe and predict the fundamental properties of matter and hence is a powerful tool in the design and development of new molecules and materials. However, molecules and materials of industrial relevance are complex and not easy to accurately simulate. Today’s capabilities force a trade to either use highly accurate methods on the smallest-sized systems or use approximating techniques. InQuanto’s modular workflow enables both computational chemists and quantum algorithm developers to easily mix and match the latest quantum algorithms with advanced subroutines and error mitigation techniques to get the best out of today’s quantum platforms.

Run your own quantum algorithms on one of our simulators or hardware backends and experience the possibilities of quantum computing. Note that Spin-2 is currently being upgraded and is no longer available. We have multiple simulators and real hardware chips available. Find out what they can do for you. Quantum Inspire is built using first-rate engineering practices. Starting from experimental setups, a layered and modular system was designed to end up with a solid and robust hardware system. This quantum computer consists of a number of layers including quantum chip hardware, classical control electronics, a quantum compiler, and a software front-end with a cloud-accessible web interface. They can act as technology accelerators because only through careful analysis of the individual system layers and their interdependencies it become possible to detect the gaps and necessary next steps in the innovation roadmap and supply chain.

Qiskit includes a comprehensive set of quantum gates and a variety of pre-built circuits so users at all levels can use Qiskit for research and application development. The transpiler translates Qiskit code into an optimized circuit using a backend’s native gate set, allowing users to program for any quantum processor. Users can transpile with Qiskit's default optimization, use a custom configuration or develop their own plugin. Qiskit helps users schedule and run quantum programs on a variety of local simulators and cloud-based quantum processors. It supports several quantum hardware designs, such as superconducting qubits and trapped ions. Ready to explore Qiskit’s capabilities for yourself? Learn how to run Qiskit in the cloud or your local Python environment.

It is based on a complete representation of the qubit state but avoids the explicit representation of gates and other quantum operations in terms of matrices. Intel-QS uses the MPI (message-passing-interface) protocol to handle communication between the distributed resources used to store and manipulate quantum states. Intel-QS builds as a shared library which, once linked to the application program, allows to take advantage of the high-performance implementation of circuit simulations. The library can be built on a variety of different systems, from laptops to HPC server systems.

BQSKit stands on its own as an end-to-end compiling solution by combining state-of-the-art partitioning, synthesis, and instantiation algorithms. The framework is built in an easy-to-access and quick-to-extend fashion, allowing users to best tailor a workflow to suit their specific domain. Global circuit optimization is the process of taking a quantum program, given as a quantum circuit, and reducing (optimizing) its depth. The depth of a quantum circuit is directly related to the program’s runtime and the probability of error in the final result. BQSKit uses a unique strategy that combines circuit partitioning, synthesis, and instantiation to optimize circuits far beyond what traditional optimizing compilers can do.

We conduct and implement cutting-edge research on artificial intelligence to create real advantage in financial investment. Illuminating the financial market with ground-breaking neuro-prediction. We combine novel deep reinforcement learning algorithms and graph-based learning with artificial neural networks for modeling and predicting time series. Neuri strives to generate synthetic data emulating the global financial markets, testing it with complex simulations of trading behavior. We bet on the future of quantum optimization in enabling our simulations to surpass the limits of classical supercomputing. Financial markets are highly fluid, with dynamics evolving over time. As such we build AI algorithms that adapt and learn continuously, in order to uncover the connections between different financial assets, classes and markets. The application of neuroscience-inspired models, quantum algorithms and machine learning to systematic trading at this point is underexplored.

Bayesforge™ is a Linux machine image that curates the very best open source software for the data scientist who needs advanced analytical tools, as well as for quantum computing and computational mathematics practitioners who seek to work with one of the major QC frameworks. The image combines common machine learning frameworks, such as PyTorch and TensorFlow, with open source software from D-Wave, Rigetti as well as the IBM Quantum Experience and Google's new quantum computing language Cirq, as well as other advanced QC frameworks. For instance our quantum fog modeling framework, and our quantum compiler Qubiter which can cross-compile to all major architectures. All software is made accessible through the Jupyter WebUI which, due to its modular architecture, allows the user to code in Python, R, and Octave.

Developers and enterprises can build Quantum-resistant smart-contracts, DApps, DeFi solutions, NFTs, tokens, Metaverse on top of the QAN blockchain platform in any programming language. QANplatform is the first Hyperpolyglot Smart Contract platform where developers can code in any programming language and also get rewarded for writing high-quality code reusable by others. The Quantum threat is very real. Existing chains can not defend against it. QAN is resistant against it from ground up, your future funds are safe. Quantum-resistant algorithms — also known as post-quantum, quantum-secure, or quantum-safe — are cryptographic algorithms that can fend off attacks from quantum computers. Quantum-resistant algorithms — also known as post-quantum, quantum-secure, or quantum-safe — are cryptographic algorithms that can fend off attacks from quantum computers.

We make it possible for everyone to think bigger, create faster, and see further. By infusing AI and machine learning, our quantum solutions give you the power to solve the world’s most important and pressing problems. Thermodynamics sparked the Industrial revolution. Electromagnetism ushered in the information age, now, quantum computers are harnessing the unique information processing capability of quantum mechanics to exponentially reduce the time and energy needed for high-impact computing. With the first paradigm-shifting advance since the integrated circuit, quantum computing is poised to transform every global market. The gap between first movers and fast followers will be difficult to overcome.

The Quantum exact simulation toolkit is a high-performance simulator of quantum circuits, state-vectors and density matrices. QuEST uses multithreading, GPU acceleration and distribution to run lightning first on laptops, desktops and networked supercomputers. QuEST just works; it is stand-alone, requires no installation, and is trivial to compile and get running. QuEST has no setup; it can be downloaded, compiled and run in a matter of seconds. QuEST has no external dependencies and compiles natively on Windows, Linux and MacOS. Whether on a laptop, a desktop, a supercomputer, a microcontroller, or in the cloud, you can almost always get QuEST running with only a few terminal commands.

Covalent’s serverless HPC architecture allows you to easily scale jobs from your laptop to your HPC/Cloud. Covalent is a Pythonic workflow tool for computational scientists, AI/ML software engineers, and anyone who needs to run experiments on limited or expensive computing resources including quantum computers, HPC clusters, GPU arrays, and cloud services. Covalent enables a researcher to run computation tasks on an advanced hardware platform – such as a quantum computer or serverless HPC cluster – using a single line of code. The latest release of Covalent includes two new feature sets and three major enhancements. True to its modular nature, Covalent now allows users to define custom pre- and post-hooks to electrons to facilitate various use cases from setting up remote environments (using DepsPip) to running custom functions.

OQC’s quantum computer is a complete functional unit, including the control system, the hardware and the software. It is the only quantum computer commercially available in the UK. OQC’s Quantum Computing-as-a-Service (QCaaS) platform takes our proprietary quantum technology to the wider market through a private cloud. Register your interest to access our QCaaS. Thanks to a close cooperation with world-leading technical and strategic partners, we ensure that our technology is at the heart of the quantum revolution.

Our singular focus is to help customers achieve real value by using quantum computing for practical business applications. You may be surprised to learn that our enterprise customers have already built hundreds of quantum applications across many industries. The powerful combination of the Advantage™ quantum system and the Leap™ hybrid solver services enable the first in-production quantum applications demonstrating business benefit. D-Wave is the practical quantum computing company delivering real business value for manufacturing, supply chain and logistics, scheduling, and mobility applications today. Quantum computing is already helping to optimize many key parts of the value chain in Industry 4.0.

Use our suite of applications to support your quantum research and development needs. Copy your API token, track jobs, and view quantum compute resources. Explore service and API documentation to start working with IBM Quantum resources.

Quandela Cloud offers a wide range of functionalities. First, intensive documentation is available to walk you through Perceval, our photonic quantum computing framework. Perceval's programming language is Python, thus coding on Quandela’s QPUs is seamless. Moreover, you can leverage a wide range of unique algorithms already implemented (resolving PDEs, clustering data, generating certified random numbers, solving logistical problems, computing properties of molecules, and much more). Then, the status and specifications of Quandela’s QPUs are displayed. You can choose the appropriate one, run your job and check its evolution on the job monitoring interface.

Silq is a new high-level programming language for quantum computing with a strong static type system, developed at ETH Zürich. Silq was originally published at PLDI'20.

Experience the world’s only quantum-computing-hardened encryption keys, ensuring provably superior protection and allowing you to seamlessly strengthen your existing cybersecurity systems for enhanced security today, and into the future. Every organization owns sensitive data that must be kept secret at all costs. Quantum Origin adds unmatched cryptographic strength to existing cybersecurity systems, giving your enterprise a long-term edge against cyber criminals. Maintaining the trust of customers, shareholders, and regulators means adapting and strengthening your cybersecurity foundations. Adopting Quantum Origin showcases your commitment to staying ahead of potential threats. Quantum Origin verifiably strengthens the cryptographic protection around your technology and services, proving you take the privacy and security of your customer's data as seriously as they do. Let your customers know their data is safe with the ultimate in cryptographic protection.

Cellframe Network is a scalable open-source next generation platform for building and bridging blockchains and services secured by post-quantum encryption. We offer a stage for enterprises and developers for building a vast array of products ranging from simple low-level t-dApps to whole other blockchains on top of Cellframe Network. We believe that the next paradigm for blockchain technology is mass adoption and our platform strives to expand the use cases associated with blockchain technology. Cellframe can provide extremely high transaction throughput based on the original sharding implementation. In addition, Post-quantum cryptography makes the system resistant to hacking by quantum computers, which are not far off. Based on the original sharding implementation, Cellframe can provide extremely high transaction throughput.

Introducing the xx network, the first and only quantum-resistant and privacy-focused blockchain ecosystem. Now offering the ultra-secure messaging application, xx messenger. Start using the blockchain of the future, the only Layer One protocol protected against quantum computing attacks. Introducing the first and only messenger app that truly protects communication between sender and receiver. All messages are end-to-end encrypted, and no metadata is ever collected. Powered by the xx network. A new easy-to-use digital currency. Designed to be the most secure and usable digital currency available today. xx messenger keeps all user activity private. No tracking, no profiling, and no surveillance. With end-to-end encryption, of course. Introducing xx messenger. Imagine a world where no one, no one, can read your messages and sell your data. Low-cost, quantum-ready, and metadata-protected. A next-gen currency to protect against next-gen threats.

The emergence of large, fault-tolerant quantum computers poses a significant threat to current public-key cryptography, leaving sensitive data and systems vulnerable to attacks. SandboxAQ was selected by the NIST's National Cybersecurity Center of Excellence for its Migration to Post-Quantum Cryptography project, which partners with industry to help the government develop best practices to transition from current public-key cryptography to post-quantum cryptography algorithms. Easily adhere to new cryptographic requirements and switch between them without requiring additional development or maintenance. Application Analyzer detects and records all calls to cryptographic libraries made by an application at run time, identifying vulnerabilities and policy breaches.

Ascalaph Designer is a general-purpose program for molecular dynamic simulations. Under a single graphical environment are represented as their own implementation of molecular dynamics as well as the methods of classical and quantum mechanics of popular programs. Molecular geometry optimization with conjugate gradient methods. Shows molecular models in separate windows. Each window has two cameras, which allow the model to be simultaneously visualized from two sides and in different graphic modes. The subwindow can be opened by dragging the splitter in the right corner of each graphical window. Clicking on an atom or bond with the left mouse button slightly changes their color and a brief info about the picked object appears in the status bar. The wire-frame style is convenient for large molecules, particularly, proteins. Drawing is very fast for this style. Finally, CPK wire frame combines the properties of several above styles.

Blaze Transfer is a secure platform, designed for swift and safe large file transfers. It employs Post-quantum end-to-end encryption, protecting files from threats of quantum and classical computers while ensuring rapid transfers. Key features of Blaze Transfer include Collaborative Workspaces for unlimited file sharing between workspaces, enhancing team and client collaborations. It allows large files transfer of any type, from any location, on any device, removing concerns about security and size. The platform also supports interaction with external, non-BLAZE users, offering a secure upload and download portal operated by a unique shared security key for file exchange. Blaze Transfer's File Transfer History feature provides a detailed record of past transfers, enabling users to review, download, reshare, and manage file expiration dates with ease. To manage files easily, BLAZE Transfer provides OneDrive integration to transfer your files directly to your Drive.

Clear is a quantum encryption system.

FAID Quantum fatigue assessment software is a powerful analytical tool, used to identify fatigue exposure and support the management of hours of work within an organization’s fatigue management plan. Based on real-world data, FAID Quantum has been successfully applied across a range of industries including rail, aviation, mining, policing, emergency services, health, construction, energy, and more. FAID Quantum supports proactive, reactive, and predictive fatigue management in line with ICAO requirements. Utilizing two validated biomathematical models, FAID Quantum provides a richer overall understanding of fatigue exposures. FAID Quantum is a practical, proven, and cost-effective management solution. Highly accurate sleep-wake prediction. Ability to set fatigue tolerance levels and task risk. Optional time zone and circadian disruption calculations. Optional crew augmentation (for resting pilots on long flights).

The HONE engine is a field-proven technology to decrease the cost and time to transport cargo and optimize the utilization of assets. Each HONE operation is a one-of-a-kind experience that will deliver incredible value. Powered by technology from industry leader D-Wave, HONE leverages the immense power of quantum algorithms to tackle large-scale optimization problems in the supply chain space. Experience the transformative power of HONE by SavantX and unlock the full potential of your business operations. Maximize efficiency, reduce costs, and accelerate productivity with this cutting-edge optimization engine. HONE is a fully customizable product that is designed to scale with your company. By optimizing terminal operations, scheduling, appointments, and in-terminal container handling, HONE streamlines operations and accelerates growth. HONE allows organizations to generate rich data and identify opportunities for improvement across various scenarios.

Quantum Leap Academy is a cutting-edge online education platform that offers a comprehensive suite of accredited certifications in artificial intelligence (AI). Designed to cater to a wide range of learners—from beginners to seasoned professionals—the academy integrates advanced learning methodologies with practical, real-world applications of AI technology. Innovative Features of Quantum Leap Academy: Dynamic Learning Environment: Quantum Leap Academy utilizes an interactive and engaging online platform that incorporates multimedia content, live webinars, hands-on projects, and AI-driven simulations. This dynamic environment ensures that students not only learn the theoretical aspects of AI but also get ample opportunities to practice and apply their knowledge in real-time scenarios.

Aurora employs quantum mechanics, thermodynamics, and an advanced continuous water model for solvation effects to calculate ligand´s binding affinities. This approach differs dramatically from scoring functions that are commonly used for binding affinity predictions. By including the entropy and aqueous electrostatic contributions in to the calculations directly, Aurora algorithms produce much more accurate and robust values of binding free energies. Interaction of a ligand with a protein is characterized by the value of binding free energy. The free energy (F) is the thermodynamic quantity that is directly related to experimentally measurable value of inhibition constant (IC50) and depends on electrostatic, quantum, aqueous solvation forces, as well as on statistical properties of interacting molecules. There are two major contributing quantities leading to non-additivity in F: 1) the electrostatic and solvation energy and 2) the entropy.

Electromagnetic (EM) simulation brings you insight before physical prototyping. Customize EM simulations for speed and accuracy. Integrate EM analysis with your circuit simulations. EM simulations can take hours to run. Shorten your import and export time by integrating your EM simulation software with PathWave Circuit Design software. Integrate EM analysis with circuit simulations to maximize efficiency. 3D EM solid modeling environment for creating arbitrary 3D objects and importing existing 3D models from other CAD environments. Prerequisite for preparing a 3D geometry for 3DEM simulation by defining ports, boundary conditions and material properties. 3D EM solid modeling environment and Finite Difference Time Domain (FDTD) simulator. Compliance testing for Specific Absorption Rate (SAR) and Hearing Aid Compatibility (HAC).

Quantum’s retail inventory optimization solutions integrate retail science and predictive analytics to deliver the industry’s most advanced demand-driven merchandising and inventory optimization solutions. Q’s insights enable the world’s most innovative retailers to further understand their consumer demand and act on it in order to establish an intelligent merchandising process that secures long-term profitability. It’s inventory with intuition. Q‘s profit-driven retail software adapts to your business cycles, providing insightful intelligence that enables you to capitalize on variable market forces and optimize the value of your inventory. Quantum’s innovative retail technology is the combined experience, intelligence, and vision of six seasoned industry executives who believed they could create a retail platform that streamlines supply chain complexities to provide intuitive inventory solutions—plus the infinite ingenuity of Q.

Safety Observation Software Report, track, and prevent unsafe work conditions – right from our web app and mobile app. New SaaS model! No upfront installation cost and on-going maintenance cost Enjoy new release in real-time Increase the efficiency of your safety programs Improve workplace safety Expand your access to key safety data Minimize your exposure to risk Quantum’s Safety Observation Software is here to put your data to work

Ansys Discovery features the first simulation-driven design tool combining instant physics simulation, high-fidelity simulation and interactive geometry modeling in a single easy-to-use experience. By combining interactive modeling and multiple simulation capabilities in a first-of-its-kind product, Discovery allows you to answer critical design questions earlier in the design process. This upfront approach to simulation saves time and effort on prototyping as you explore multiple design concepts in real time with no need to wait for simulation results. Ansys Discovery answers critical design questions early in your process with speed and accuracy. Boost productivity and performance by eliminating long waits for simulation results. Discovery lets engineers focus on innovation and product performance. By answering critical design questions early in the process, thus decreasing engineer labor and physical prototyping costs, Ansys Discovery allows for a ROI boost across your organization.

Khimera is used to calculate the kinetic parameters of microscopic processes, thermodynamic and transport properties of substances and their mixtures in gases, plasmas and gas-solid phases boundary. The primary users are researchers and engineers, involved in kinetic model development as well as thermodynamic and kinetic modeling for chemical engineering, combustion, catalysis, metallurgy, and microelectronics areas. Khimera ideally fits the needs of multi-scale modeling providing the link between fundamental molecular properties of individual molecules and mesoscale ensemble-averaged characteristics of the reactive medium: thermodynamic and transport properties as well as rates of chemical reactions. All the models can use the results of quantum-chemical simulations as an input, thus providing the possibility to recover properties without any experimental input from the user side.

Introducing our cutting-edge network monitor, designed to keep your network services and websites running smoothly and ready for the quantum computing age. Our real-time quantum readiness monitor ensures your website is prepared for future technological advancements. Coupled with our robust service monitor, you'll maintain top performance. Our expanded monitoring includes HTTP for website performance, ICMP for network pinging, DNS for domain lookup, and SMTP for email service monitoring. Receive email alerts if any services are unresponsive, ensuring business-critical performance. Additionally, our local agent monitor app allows you to monitor local hosts, and the ChatGPT-powered text interface provides seamless interaction with the service. Log in with your email for 24/7, 365-day monitoring. With quantum readiness, we're set to elevate your network monitoring to the next level. freenetworkmonitor.click

The Nimbix Supercomputing Suite is a set of flexible and secure as-a-service high-performance computing (HPC) solutions. This as-a-service model for HPC, AI, and Quantum in the cloud provides customers with access to one of the broadest HPC and supercomputing portfolios, from hardware to bare metal-as-a-service to the democratization of advanced computing in the cloud across public and private data centers. Nimbix Supercomputing Suite allows you access to HyperHub Application Marketplace, our high-performance marketplace with over 1,000 applications and workflows. Leverage powerful dedicated BullSequana HPC servers as bare metal-as-a-service for the best of infrastructure and on-demand scalability, convenience, and agility. Federated supercomputing-as-a-service offers a unified service console to manage all compute zones and regions in a public or private HPC, AI, and supercomputing federation.

As the link between the company and the end-user, a channel can make or break a brand. Support your channel and pave the way for success with Quantum360, a state-of-the-art customer loyalty program. It’s changing the way businesses interact with their channels and it’s driving real results. We often hear from executives who feel like they hand their brand over to the channel and are resigned to crossing their fingers and waiting for the sales numbers. Wouldn’t it be nice to know that your channel partners are out there, telling your brand’s story with accuracy and enthusiasm, offering genuine endorsements and closing deals left and right? That’s the idea behind Quantum360. It’s a comprehensive lifecycle marketing platform that helps businesses educate, engage and motivate their channel partners. Since no two businesses are alike, we designed Quantum360 to be supremely adaptable.

The only platform allowing for large encrypted group chat and social media communications in an unmonitored and uncensorable environment. Communicate freely with quantum-proof end-to-end encryption. No ads, trackers, data profiteering, hacks, or censorship, ever. You can have unlimited numbers of members in your community.

Synopsys HSPICE circuit simulator is the industry's "gold standard" for accurate circuit simulation and offers foundry-certified MOS device models with state-of-the-art simulation and analysis algorithms. With over 25 years of successful design tape outs, HSPICE is the industry's most trusted and comprehensive circuit simulator. For on-chip simulation, analog designs, RF design, custom digital design, standard cell design and characterization, memory design and characterization, and device model development. For off-chip signal integrity simulation, silicon-to-package-to-board-to-backplane analysis and simulation. HSPICE is a key part of the Synopsys analog/mixed-signal (AMS) verification suite, a solution built to address the most critical issues in AMS verification. HSPICE is the industry’s “gold standard” for accurate circuit simulation and offers foundry-certified MOS device models with state-of-the-art simulation and analysis algorithms.

LTI’s Mosaic is a converged platform, which offers data engineering, advanced analytics, knowledge-led automation, IoT connectivity and improved solution experience to its users. Mosaic enables organizations to undertake quantum leaps in business transformation, and brings an insights-driven approach to decision-making. It helps deliver pioneering Analytics solutions at the intersection of physical and digital worlds. Catalyst for Enterprise ML & AI Adoption. ModelManagement. TrainingAtScale. AIDevOps. MLOps. MultiTenancy. LTI’s Mosaic AI is a cognitive AI platform, designed to provide its users with an intuitive experience in building, training, deploying and managing AI models at enterprise scale. It brings together the best AI frameworks & templates, to provide a platform where users enjoy a seamless & personalized “Build-to-Run” transition on their AI workflows.

It offers thousands of pre-built models that cover a wide range of engineering disciplines, with search to identify a model that matches your design requirements, and broad target support. The Embed library of motor models and motor control algorithms, for both sensored and sensorless applications, provides the starting point to accelerate embedded motor control projects for any type of electric motor, including AC induction, BLDC, PMSM, brushed DC, or stepper motors. With Embed, users can easily model and simulate end-to-end, physical layer data communication systems providing determination of energy and bit required for a given bit error rate for a comprehensive set of modulation, encoding, and channel configuration.

Geminus unleashes the power of predictive intelligence by intersecting AI and physics with multi-fidelity modeling. Our novel, first-principles AI translates the constraints of the physical world inside resilient predictive models. The Geminus platform leverages sparse data to quickly analyze the behavior of complex industrial systems, and precisely predict the impact of decisions that drive your business forward. The Geminus multi-fidelity approach fuses models with data, which enables you to create highly accurate surrogates over 1,000x faster than simulation. Only Geminus accurately quantifies model uncertainty, so you can be confident in your predictions and the decisions they inspire. Geminus compresses model creation time from months to hours requiring far fewer data and computes resources than traditional AI, or simulation methods. Models built on Geminus are infused with an understanding of the known behavior of real-world systems.

Adaptive Research is pleased to announce the immediate release of the CAESIM 2024 simulation platform, providing advanced computational fluid dynamics modeling with multi-physics capabilities. The new software release provides new tools and capabilities that optimize the modeling process and provide the CFD engineer with fast simulation solutions.

The Relyence® Fault Tree Analysis tool offers a comprehensive platform for constructing striking FTA diagrams, modeling an array of input events, and computing a wide range of availability metrics using its highly capable mathematical engine. Relyence’s high-powered fault tree analysis probability calculator back-end computes all your most important risk and safety metrics with speed and accuracy. The mathematical engine supports both exact calculations as well as simulations. Create well-organized and visually appealing diagrams with our intuitive and efficient interface. The Relyence software for fault tree analysis optimally configures your tree, auto-aligns, and auto-connects gates and events. The Relyence Fault Tree Analysis software provides a flexible and friendly framework for complete analysis of small and large scale risk assessments. Relyence provides an intuitive interface to construct well-organized and visually appealing diagrams.

By leveraging our unique, inherently transient Lattice Boltzmann-based physics PowerFLOW CFD solution performs simulations that accurately predict real world conditions. Using the PowerFLOW suite, engineers evaluate product performance early in the design process prior to any prototype being built — when the impact of change is most significant for design and budgets. PowerFLOW imports fully complex model geometry and accurately and efficiently performs aerodynamic, aeroacoustic and thermal management simulations. Automated domain discretization and turbulence modeling with wall treatment eliminates the need for manual volume meshing and boundary layer meshing. Confidently run PowerFLOW simulations using large number of compute cores on common High Performance Computing (HPC) platforms.