How quantum computing can boost AI: An explainer

Is artificial intelligence getting a quantum upgrade? Or is quantum all hype? Find out in this explainer page that delves into quantum computing and how it can work alongside AI to solve increasingly complex problems. http://2.sas.com/6048AbmAG

Is artificial intelligence getting a quantum upgrade? Or is quantum all hype? Find out in this explainer page that delves into quantum computing and how it can work alongside AI to solve increasingly complex problems. http://2.sas.com/6047AZoih

Is artificial intelligence getting a quantum upgrade? Or is quantum all hype? Find out in this explainer page that delves into quantum computing and how it can work alongside AI to solve increasingly complex problems. http://2.sas.com/6047Abskd

Is artificial intelligence getting a quantum upgrade? Or is quantum all hype? Find out in this explainer page that delves into quantum computing and how it can work alongside AI to solve increasingly complex problems. http://2.sas.com/6045AdywV

Is artificial intelligence getting a quantum upgrade? Or is quantum all hype? Find out in this explainer page that delves into quantum computing and how it can work alongside AI to solve increasingly complex problems. http://2.sas.com/6041Ac6tF

Is artificial intelligence getting a quantum upgrade? Or is quantum all hype? Find out in this explainer page that delves into quantum computing and how it can work alongside AI to solve increasingly complex problems. http://2.sas.com/6042A5C64

Still thinking about AI as GenAI..... Is artificial intelligence getting a quantum upgrade? Or is quantum all hype? Find out in this explainer page that delves into quantum computing and how it can work alongside AI to solve increasingly complex problems. http://2.sas.com/6046Afazj

Supervised Machine Learning Predicts Open Quantum System Dynamics and Detects Non-Markovian Memory Effects Scientists have developed a method to accurately predict and diagnose complex system behaviour, including previously hidden ‘memory’ effects, by analysing readily measurable data from a supplementary, interacting component rather than directly observing the system itself. #quantum #quantumcomputing #technology https://lnkd.in/dEsy6aPX

🎓 **Unlocking the Power of Quantum Machine Learning: Beyond Pattern Detection** The realm of machine learning has just taken a significant leap forward with the advent of Quantum Machine Learning (QML). By harnessing the capabilities of quantum computers, QML goes beyond the traditional detection of patterns and delves into the realm of amplification. This groundbreaking approach enables the generation of more accurate models by exploring an exponentially vast number of possibilities within the data. Imagine a scenario where a classical computer is tasked with predicting the best route to take on a trip. It would consider a finite set of roads, traffic patterns, and time constraints. In contrast, a quantum computer, with its unparalleled processing power, can explore an exponential number of possible routes, taking into account an almost infinite combination of variables. This exhaustive "what if" scenario allows the quantum computer to identify the optimal route, which would be i...

🚀 Generative Quantum Advantage: Beyond-Classical Learning and Sampling Made Practical Recent research has demonstrated a groundbreaking generative quantum advantage: quantum computers can efficiently learn and sample from complex distributions that are impossible for classical computers to efficiently reproduce. This work blends rigorous theory with experimental breakthrough on a 68-qubit superconducting processor, showing how shallow quantum circuits—trained efficiently with classical methods—enable sampling tasks requiring quantum inference, beyond classical reach. 🔸 Key insights include: • Defining generative quantum advantage as the ability to efficiently learn and generate outputs that classical machines cannot realistically match • Introducing the sewing technique, which breaks down quantum circuit training into simpler local optimizations, eliminating barren plateaus and local minima to make learning shallow circuits feasible • Presenting explicit, experimentally supported cases where classical distributions are easy to train on quantum hardware but sampling without quantum devices is provably intractable • Scaling up from effective 816 shallow qubits experimentally to theoretical regimes involving over 34,000 shallow qubits, highlighting the future potential of quantum generative models This work paves the way for quantum-enhanced generative AI with concrete advantages in classical data generation, quantum circuit compression, and understanding quantum states. It marks a major step toward practical applications harnessing quantum machines' unique power for machine learning challenges that stymie classical approaches. #QuantumComputing #GenerativeAI #QuantumAdvantage #MachineLearning #QuantumMachineLearning #QuantumCircuits #thequantumcircle See original article here -> https://lnkd.in/gGQR53qY