QGeo Boosts Quantum Computing Efficiency with Geodesic Calculations

Exploring quantum computing beyond qubits with qutrits. I’ve been developing QutritLab, a Python library for simulating ternary quantum systems—and this visualization is one of my favorite results so far. In this experiment, I simulated a 3-qutrit circuit where each step applies parameterized phase rotations. While these phase shifts are invisible on their own, once combined through interference, they produce rich, evolving structures in the probability distribution. What emerges is something striking: a wave-like interference pattern across the 27-dimensional state space, where peaks form, move, and interact over time. These patterns aren’t random—they’re the result of: • coherent phase accumulation • interference between qutrit basis states • and the higher-dimensional structure of ternary quantum systems It’s essentially a glimpse into how information propagates and interferes in higher-dimensional quantum spaces. I’m excited about where this can go: from richer quantum algorithms to more efficient representations of information. If you're interested in quantum simulation, higher-dimensional systems, or just cool interference patterns—let’s connect. #quantumcomputing #computerscience #mathematics #qc #quantummechanics #quantumphysics #technology

This research pushes the Lorenz-63 system into an extreme turbulence regime (ρ=99.96) with 20% Gaussian noise. We demonstrate that RNN, GRU, and LSTM architectures act as robust non-linear observers, successfully decoupling deterministic physics from stochastic noise while maintaining topological integrity. Full technical details, analysis, and results are available in the attached paper. Links and Repositories: Source Code: https://lnkd.in/dMZ69YNT. Official DOI: https://lnkd.in/dBMYCgFJ #DeepLearning #DynamicSystems #ChaosTheory #MachineLearning #PhysicsInformed #QuantymaResearch #Python #Lorenz63 #ResearchLab

Happy to share my latest research at Quantyma! Check out the full study on the resilience of recurrent networks in high-turbulence chaotic regimes below. 👇 #DeepLearning #ChaosTheory #PhysicsInformed #MachineLearning #DynamicalSystems #QuantymaResearch #ResearchLab

Day 20, 21 and 22 of Building Quantum Projects! Happy World Quantum Day my friends! I am celebrating this day with a very interesting project you all can learn from. To be honest this project stretched me! It took me 3 days to perfect it. In this project I had to find a way to simulate quantum concepts like superposition, entanglement and measurement in python, the CLI worked perfectly, so I thought to make it accessible on the web so that people can learn how it works and how to build theirs. Because it is world quantum day, I added a simulation to teach how to play the game. The game allows one to play with human and AI. I have also open sourced the codebase with detailed explanation of how I modelled the quantum concepts in python. Please star the repo and contribute, let's improve this and make it an impactful project for the quantum community. This all started from the tasks we were given in the GDG OAU QUANTUM COMPUTING COMMUNITY. The most supportive quantum community I have belonged to. GitHub Repo: https://lnkd.in/e-_KTrJ4 Live Link: https://lnkd.in/euK_HEbp #quantum #computing #programming #world #quantum #day

𝗔𝗻 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲 𝘁𝗼 𝗥𝘂𝗻𝗻𝗶𝗻𝗴 𝗡𝗩𝗜𝗗𝗜𝗔 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿 𝗘𝗻𝗴𝗶𝗻𝗲 𝘄𝗶𝘁𝗵 𝗠𝗶𝘅𝗲𝗱 𝗣𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻, 𝗙𝗣𝟴 𝗖𝗵𝗲𝗰𝗸𝘀, 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗙𝗮𝗹𝗹𝗯𝗮𝗰𝗸 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 In this tutorial, we implement an advanced, practical implementation of the NVIDIA Transformer Engine in Python, focusing on how mixed-precision acceleration can be explored in a realistic deep learning workflow. We set up the environment, verify GPU and CUDA readiness, attempt to install the required Transformer Engine components, and handle compatibility issues gracefully so that […] The post An Implementation Guide to Running NVIDIA Transformer Engine with Mixed Precision, FP8 Checks, Benchmarking, and Fallback Execution appeared first on MarkTechPost. https://lnkd.in/e5PpWqyb

Exploring quantum computing beyond qubits with qutrits. We have been developing QutritLab, a Python library for simulating ternary quantum systems—and this visualization is one of our favorite results so far. In this experiment, we simulated a 3-qutrit circuit where each step applies parameterized phase rotations. While these phase shifts are invisible on their own, once combined through interference, they produce rich, evolving structures in the probability distribution. What emerges is something striking: a wave-like interference pattern across the 27-dimensional state space, where peaks form, move, and interact over time. These patterns aren’t random—they’re the result of: • coherent phase accumulation • interference between qutrit basis states • and the higher-dimensional structure of ternary quantum systems It’s essentially a glimpse into how information propagates and interferes in higher-dimensional quantum spaces. We are excited about where this can go: from richer quantum algorithms to more efficient representations of information. If you're interested in quantum simulation, higher-dimensional systems, or just cool interference patterns. #quantumcomputing #computerscience #mathematics #qc #quantummechanics #quantumphysics #technology

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I am eager to announce my first journal paper "Two qubits spin entanglement in Coupled Quantum Dots within Strained silicon Quantum well" We did a theoretical work and numerical simulation on python coding. Our findings, how the Ge concentration does exactly tune the entanglement with the external magnetic field, why the Dresselhaus term is dominant in Si/SiGe heterostructure and How does the increasing Ge concentration affect the valley splitting and spin orbit safety conditions.

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🐍📰 Learn the basics of quantum computing qubits, superposition, and entanglement—then use Python Qiskit to create your first quantum circuit. #python