https://lnkd.in/dniReDDM IBM Quantum Industry Webinar Series: Electronics In the first session Dr. Charles Chung discusses the impact on quantum computing in the electronics industry. Dr. Charles Chung is the Lead for Quantum Industry Applications for Electronics, Engineering, and Manufacturing at IBM.
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🌐 Quantum Computing Meets PCB Manufacturing: A New Frontier for U.S. Innovation Quantum computing is poised to revolutionize industries, and PCB manufacturing in the USA is no exception. By integrating quantum capabilities, we're enabling more complex, precise, and efficient designs that were once thought impossible. 🛠⚛ This synergy between quantum technology and PCB manufacturing opens up vast opportunities—from speeding up simulations to enhancing circuit performance. As the U.S. leads in both quantum research and electronics production, the future of PCB manufacturing is set to reach unprecedented heights. Let’s drive this innovation forward together! #QuantumComputing #PCBs #USInnovation #ElectronicsDesign #Manufacturing #TechRevolution
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The Department of Electronics and Communication Engineering recently organized an insightful seminar on "Trends and Applications of Digital Signal Processors." We were honored to have Dr. B. Premalatha, Assistant Professor from the Department of ECE at CIT, as our guest speaker. She provided deep insights into the latest advancements in digital signal processing (DSP) technology and its rapidly expanding applications across sectors. Participants gained exposure to emerging trends like the low-power DSP, edge computing, and machine learning integration. The discussion highlighted how DSP can revolutionize fields like automotive, and consumer electronics, driving innovation and improving efficiency. #DigitalSignalProcessors #DSPTechnology #CIT #EmergingTrends #EdgeComputing #KAHE #wekaheians #kahefamily
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🗞 Electronic News! 🗞 imec in Belgium has recently achieved a significant milestone in the field of quantum computing by demonstrating high-quality silicon quantum dots built on 300mm wafers. This breakthrough could pave the way for the development of more reliable quantum computers that are scalable and compatible with existing silicon chip production processes. The spin qubits, constructed as quantum dots by imec on a 300mm wafer process, offer a promising solution for large-scale quantum computer designs. The silicon spin qubits exhibited an average charge noise of 0.6µeV/ÖHz at 1Hz, marking a new milestone in noise reduction for a 300mm fab-compatible platform. This low noise level is crucial for achieving high-fidelity qubit control, which is essential for maintaining quantum coherence and ensuring precise control over the qubits. #electricalengineering #electronics #embedded #embeddedsystems #electrical #computerchips Follow us on LinkedIn to get daily news: HardwareBee - Electronic News and Vendor Directory
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“All of our existing electronic devices use chips made up of silicon, which is a three-dimensional material. Now, many companies are investing a lot in chips made up of two-dimensional materials,” said Shoaib Khalid, PhD, an associate research physicist at PPPL. The materials actually exist in three dimensions, but they are so thin — often made up of only a few layers of atoms — that scientists have taken to calling them 2D. In the latest #ResearchBits from Semiconductor Engineering and learn how the Lab is investigating a replacement for silicon computer chips 💻 using a super-thin material known as transition-metal dichalcogenide (TMD).
Research Bits: July 16
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At the highly anticipated ECTC 2024 conference in Denver, Colorado, from May 28 to 31, IBM researchers are set to unveil groundbreaking advancements in computer technology. Among the highlights is a cutting-edge computer system that boasts a 32-bit processor, memory, analog I/O, built-in sensors for temperature and chemicals, an energy-harvesting power source, and sophisticated operating system software. IBM will also showcase a revolutionary high-throughput chiplet packaging process designed for military, commercial, and consumer applications. This innovative process enables the creation of sensor data acquisition and secure communications components on a substrate that is less than 1 square millimeter in size. By incorporating wafer-to-wafer transfer and integrated optical photovoltaic/photodiode cells, IBM is pushing the boundaries of miniaturization and efficiency in computer system design. #electricalengineering #electronics #embedded #embeddedsystems #electrical #computerchips Follow us on LinkedIn to get daily news: HardwareBee - Electronic News and Vendor Directory
Chiplet Paradigm Boosted at Technical Conference
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A groundbreaking achievement in the field of quantum computing has been reached with the successful tape-out of a demonstrator chip designed to operate at cryogenic temperatures in the UK. The cryogenic chip is the result of a collaborative effort within a UK project involving key players such as SureCore, Agile Analog, and the University of Glasgow. The project, titled “Development of CryoCMOS to Enable the Next Generation of Scalable Quantum Computers,” aims to validate cryogenic SPICE models and intellectual property for control and measurement ASICs to be integrated within the cryostat alongside the quantum processor. #electricalengineering #electronics #embedded #embeddedsystems #electrical #computerchips Follow us on LinkedIn to get daily news: HardwareBee - Electronic News and Vendor Directory
Quantum Chip Achieves Cryogenic Milestone
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🌟 The Physics of Information: Powering the Digital Revolution Through Semiconductors 🌟 In the age of digital transformation, information is at the core of everything we do. But have you ever wondered about the physics that makes it all possible? 🤔 Semiconductors, the unsung heroes of modern technology, are the physical foundation of information encoding, processing, storage, and transmission. Here’s a glimpse into the fascinating interplay between information theory and semiconductor physics: 🔹 Information Encoding: Charge carriers in semiconductor devices (like MOSFETs) represent binary data (0s and 1s), turning abstract concepts into tangible logic states. 🔹 Storage: From capacitors in DRAM to trapped charge in Flash memory, semiconductor materials enable efficient and reliable data storage. Ever heard of Landauer’s Principle? It tells us that erasing a single bit of information requires a minimum amount of energy, a challenge semiconductor engineers are solving every day! 🔹 Processing: Semiconductors enable the creation of logic gates and circuits that form the backbone of digital computing. Scaling down to nanometer nodes has increased computational power but introduced quantum challenges like tunneling. 🔹 Communication: From high-speed optoelectronics to wireless RF amplifiers, semiconductor materials like silicon, gallium arsenide, and silicon carbide power the way we share data across the globe. 🔹 Quantum Leap: With quantum effects dominating at nanoscale levels, semiconductors are now key players in the quantum computing revolution, enabling technologies like spin qubits and quantum dots. As we push the boundaries of Moore’s Law and explore quantum information processing, the physics of semiconductors continues to shape our digital future. Whether it’s building faster processors, denser memory, or efficient communication systems, the convergence of semiconductor physics and information theory is transforming how we live and work. 💡 Let’s celebrate the science and innovation that power the digital age! What excites you most about the future of semiconductors and information technology? Share your thoughts below! 👇 #Semiconductors #InformationTheory #PhysicsOfInformation #DigitalTransformation #
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Neuromorphic Wires Amplify Their Own Signals . A chip design inspired by nerve cells boosts signals — no amplifiers needed. A 10x increase in LLM compute cycles per Kwh. In electrical engineering, “we just take it for granted that the signal decays” as it travels, says Timothy Brown, a postdoc in materials physics at Sandia National Lab who was part of the group of researchers who made the self-amplifying device. Even the best wires and chip interconnects put up resistance to the flow of electrons, degrading signal quality over even relatively small distances. This constrains chip designs—lossy interconnects are broken up into ever smaller lengths, and signals are bolstered by buffers and drivers. A 1-square-centimeter chip has about 10,000 repeaters to drive signals, estimates R. Stanley Williams, a professor of computer engineering at Texas A&M University. As current flows into the material, its temperature rises, and its resistance changes. Under the right set of conditions—when seated just right in the electrical saddle—this material should apply negative resistance. That is, it should amplify a signal. The team demonstrated this in a device is made up of a layer of LaCoO3 with a 1 mm metal line on top of it. They biased the LaCoO3 with a direct current, and passed an alternating current signal through the metal. Williams says he almost fell out of his chair when he saw Brown’s oscilloscope measurements. Not only did the signal not degrade as it passed through this device—it came out the other side of the wire amplified by as much as 70 percent. “We’ve shown that edge of chaos is a property of materials—it’s physically real,” Williams says. Electrical engineers have long known about nonlinear dynamics, but have hardly ever taken advantage of them, Williams says. “This requires thinking about things and doing measurements differently than they have been done for 50 years,” he says. #neuromorphic #signals #nonlineardynamics #signaldecay #LLM #computecycle #Linus #Linux #Intel #datacenter #LaCoO3 April Tornquist Salt River Project SpaceX IEEE Computer Society Intel Corporation AMD TSMC https://lnkd.in/gTzaJW8t
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Good morning all, feeling saturated already! Is digitization, the end of everything? Such questions are good to ask, especially in the morning! So, let us delve into it: 1. Today's electrical engineering is a role between minimum and maximum voltages and currents. No system can withstand beyond the maximum point. 2. In analogue electronics, the transistor was used as an amplifier and an oscillator, with the Q-POINT at the equilibrium centre. 3. Today's computer science engineering consists of digital transistors or transistor switches, in the CPU that are either ON or OFF. 4. When transistors are in cut-off region, they are OFF, with near to zero current, with Q-POINT at zero, when they are in saturation region, they are ON, with Q-POINT at max, with near to maximum tolerable and permissible current. 5. Due to the maximum current that they draw when they are ON, we need CPU FANS and HEATSINKS. 6. According to Moore's law, the number of transistors on a chip can increase, but never their ON CURRENT RATINGS. 7. So, in computer science and engineering, we are already maxing the hardware, pushing it to it's limits! (except over-clocking). 8. This is why, digitization is the final stage, since nothing can go beyond the maximum. Will Evolutionary Computation, tell us the next stage in this! Yes: 1. Evolvable Hardware. 2. Quantum Computing. According to Evolutionary Principles, a system can evolve beyond it's maximum, but it is something we can expect in the future and not now presently...... Thank you all, beyond the maximum!!! #EvolutionaryComputation #Electronics #IEEE #EvolvableHardware #QuantumPhysics
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🔬 Excited to share some insights about semiconductor technology! 🚀 Did you know that Quantum Mechanics plays a pivotal role in governing semiconductor behavior? 💡 Within semiconductors, the behavior of electrons and holes is intricately governed by principles of Quantum Mechanics. Phenomena such as band structure, carrier mobility, and tunneling are fundamental to understanding and optimizing semiconductor devices. 🌐 Let's continue exploring the fascinating world of semiconductors together! #SemiconductorTechnology #QuantumMechanics #Innovation #Electronics #TechnologyInsights 🔍🔌
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