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Google Research Artificial intelligence (AI) is an application that requires fast computation solution like quantum computer. The three universally basic elements to make AI work are: 1. high computational capability (fast GPUs, quantum computers, etc.), 2. electricity (battery/power supply) 3. metadata. The importance of computational capability and electricity has been taken for granted. Without electricity, the machine won't work. Also, battery accounts for 40% of the total cost of an electric machine, e.g., electric car. For in-house AI applications, the electricity bills of a C-level friend of ours has doubled because of using AI.?????? Metadata is an enabler. It's a digital content, NOT a technology. It's like a treasure map, curated by human for treasure hunting. Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, quantum computers, etc. https://lnkd.in/g-aJFnXR We are using our expertise/IP, a copyrighted multilingual metadata, to do what AI can't do in data analytics NOW. Do you or any contacts of yours need our expertise/IP? Thanks. AI 人工智能事實查核 (Chinese version): https://lnkd.in/eeVbdcza AI fact findings (English version): https://lnkd.in/gwcPNUPP

QuEra's Bloqade is a state-of-the-art open-source emulator of programmable neutral-atom arrays. Bloqade? facilitates benchmarking and algorithmic design, integrating the fundamental advantages of neutral-atom arrays for quantum computing. With features such as flexible processor geometry, multi-qubit connectivity, and analog operation modes, it is both versatile and potent. Once the algorithm is prepared, Bloqade can be conveniently used to deploy it for execution on a quantum computer. Learn more at https://hubs.ly/Q02HmmHW0

This a good watch as a primer for Quantum computers not far away https://lnkd.in/edD3nSi5

This video explores how three fundamental quantum mechanical phenomena—superposition, interference, and entanglement—give quantum computers their unparalleled power.?

Check out our latest video on Quantum computing and how PsiQuantum may have just figured out how to make qubits at scale by partnering with GlobalFoundries, the world's third-largest semiconductor manufacturer and one of the leading companies in photonics.

Utilize Classiq to Solve the Fujitsu $100,000 Quantum Simulator Challenge 2024! Building on the success of last year, Fujitsu's challenge invites industry and academia to test their 40-qubit quantum simulator on novel problems and applications. The simulator, enhanced with the world-class Qulacs software and a new Decision Diagram Simulator, aims to push the boundaries of quantum computing performance and scalability. Using Classiq, you can optimize complex algorithms at a high level, export them as QASM files, and seamlessly integrate with Fujitsu’s powerful simulator. With Classiq's optimization, there is no need for non-trivial efforts and advanced knowledge of optimization techniques - the engine does all the hard work for you. The attached video demonstrates optimizing a small Shor's algorithm example for minimal circuit depth with the constrain of maximum 40 qubits. Let's harness Classiq’s power for this exciting challenge!

Quantum Riddle Solved? How Solid Neon Qubits Could Change Computing Forever New analysis investigates the electron-on-solid-neon qubit, revealing that small bumps on stable neon surfaces create steady quantum states, enab... See more https://lnkd.in/gxvudPqh