Tanat Tonguthaisri, CISSP®’s Post

This #sc24 article by John Himes discusses the growing interplay between High-Performance Computing and Quantum Computing, emphasizing the potential of hybrid systems that combine both technologies. As Moore’s Law reaches its limits, QC offers exponential scaling that traditional HPC cannot match, making it ideal for specific computational tasks, particularly in fields like machine learning and drug discovery. The future lies in integrating QC with HPC, creating systems where tasks are distributed based on their strengths, thereby solving complex problems more efficiently. Insights: - QC complements rather than replaces traditional HPC. - Hybrid systems maximize the strengths of both technologies. - Integration challenges include system engineering and algorithmic frameworks. The integration of Quantum Computing with High-Performance Computing is the future of solving complex computational problems, as QC’s exponential scaling can tackle tasks that HPC alone cannot. However, building effective hybrid systems requires significant advancements in system engineering and algorithmic development. https://hubs.ly/Q02LDB1_0

a Relativistic Computing Machine is a type of computer that could maybe provide a new way to probe relativitistic effects a simple associated thought experiment - a normal computer on a spaceship that's travelling close to c, running some piece of code how will the operations and results of this computer differ (if they differ) from a machine at rest executing that same code

Human and machine alignment needs to start at the interface. The goal of an interface is to optimize communication between biological and digital computing. The interface needs to shape the flow of information to minimize effort and maximize outcome.

A Comparability Matrix is agnostic of the Computing Language. Simply put I want to do this. Next stage I want to do it faster.

Does edge computing truly have the edge? Exploring the transformative potential and practical implications of bringing computational power closer to the source. What are your thoughts on the impact of edge computing in today's tech landscape? #edgecomputing #techinnovation

Great video by Extropic on thermodynamic computing, where binary bits are replaced by noise generated by heat. The world of hardware is just as interesting as the world of software! https://lnkd.in/dyvE3pKm

Unraveling the Mysteries of Memory Measurement in Computing Units! 🧠💻 Dive into the world of bytes, kilobytes, megabytes, and beyond. Understanding these units is crucial in comprehending computer memory. Discover more about #MemoryMeasurement #ComputerUnits #TechInsights #ComputingBasics #DataStorage #TechEducation. Sufyan Hummam Ahmad Jawad Jalal Afsar Abuzar Khan Shah sanam Rohail Ahmad Muhammad Bilal Shinwari

Three reasons for running graph analytics on quantum computers: 1. Graphs are typically huge 2. Their structure is very complex (no spatial order) 3. They change (not a one-and-done use case) Of course, everything that is challenging for classical computing remains challenging for quantum, but at TipQC we are looking forward to making progress on it!

🌟 Exciting new blog post alert! Learn how next-generation reservoir computing can be harnessed to control chaotic systems using edge computing hardware. Discover how this innovative approach opens the door to new possibilities for compact, low-power machine learning applications. Check out the full article on arXiv: https://bit.ly/45yOuSA #EdgeComputing #ReservoirComputing #MachineLearning

On the last working day of 2023 I got the notification that our paper "A Parallel and Distributed Quantum SAT Solver Based on Entanglement and Teleportation" was accepted by TACAS 2024, a top conference in formal methods and software science. Well done, team! And what a way to end the year! Preview the paper on arXiv here: https://lnkd.in/gDX3PzDN #quantumcomputing #automatedreasoning #logic