REC Silicon’s Post

Your comment is awaiting moderation. It’s difficult to cover all the problems we faced in a short narrative. A few additional items of note were: 1. The Owner had an excellent set of record documents, which we relied on heavily as we integrated the new with the existing. Kudos to REC Silicon. 2. A restart of any mechanical electrical controls process, while you are adding in new technology, has the potential for existing equipment to also need repair or upgrade. We worked daily with plant maintenance to minimize the effects of emergent repairs and replacements. This was also key to the project success.

Even though topic of the video is not my core professional subject, it is very interesting to see and hear about latest developments in silicon technology and processes that are involved in making products and also some of the dynamics of the business around the technology. https://lnkd.in/dt2R-X5M

Fun Fact Friday! 🚀 Did you know the average computer is composed of over 1,000 different materials? From silicon chips to metals, it's a symphony of tech! Share this fascinating fact with your tech-savvy friends. #FunFactFriday #TechTrivia #TechWonders #FridayFun #TechFacts #TechMaterials #FridayTechFun #ComputerComponents #TechSymphony #ShareTheKnowledge

My talk for the #IEEE solid state circuits society is public on youtube! Learn how I got started, the mistakes I made, and how you can get involved in this exciting world of #opensource silicon and #ASIC! https://lnkd.in/d4dCp7y2

Brand new broadcast episode on cooling and the future of transistor densities with DCD>Academy's very own Vlad - Gabriel Anghel. Make sure to check out the episode as our speakers address: ➤ Where are we seeing the most powerful chips being deployed? ➤ Will Nvidia maintain market share and can other players catch up? ➤ Considerations and misconceptions for cooling advanced workloads ➤ How do we plan for redundancy when it comes to direct to chip cooling? https://lnkd.in/e3ViYsU7

The convergence of Artificial Intelligence (AI) and Quantum Computing is setting the stage for unprecedented innovation. In a detailed conversation with Rima Alameddine we discussed the immense potential of quantum computing that promises to take AI's capabilities to a whole new level! Quantum computing is no longer confined to research as IonQ is demonstrating and as its commercialization gains speed, the future of problem-solving, innovation, and disruption is closer than ever. Thank you Rima, for this insightful discussion.

Simon Sze was an Asian American scientist whose contributions would change the landscape of technology forever. He, along with his co-worker at Bell Labs, Dawon Kahng, worked to create a device that prevents information from being lost when a device is turned off. After many setbacks, the world’s first non-volatile memory was born. Learn more about Simon Sze in this informational video: https://bit.ly/3xzgo4m #nonvolatilememory #electrondevices #IEEEEDS #technology #STEMvideos

Watch this short video that was made by Max, a 10th grader on Simon Sze. Simon Sze is a renowned electrical engineer and inventor. He is best known for his significant contributions to semiconductor technology. Max, a great work with the video. Well done.

Although I remain very skeptical of longer-term prospects for quantum circuits using large qubit counts and overly-complex quantum error correction, I do remain optimistic that modest qubit counts, in the 40-50 range (48 is my target), could offer at least modest to moderate quantum advantage provided that physical qubit and gate error rates incrementally advance above three nines to 3.5 nines or even four nines, and coherence time and maximum circuit size rises moderately to a few thousand gates with near-perfect fidelity, and provided that full qubit connectivity becomes available as well - to something that can support a full 20 to 22 or even 24-bit wide quantum Fourier transfer to enable quantum phase estimation for realistic applications. Something that supports a thousand-fold to a million-fold or even ten-million-fold computational advantage would certainly seem possible, not with current hardware, but with the modest advances I listed. Separately from analytical computation, modest near-term advances can support analog-style quantum simulation, but even though that would use the same hardware, it doesn't have the stringent accuracy requirements that analytical computation has for exact numerical results. My proposal: "48 Fully-connected Near-perfect Qubits As the Sweet Spot Goal for Near-term Quantum Computing" https://lnkd.in/g8WnCsuY #QuantumComputing #QuantumApplications #QuantumAlgorithms #QuantumInformationScience #QIS #QuantumTechnologies #QuantumTech #Quantum

IBM Quantum launches #IBMHeron, IBM's most performant quantum processor to-date and available in IBM's global quantum data centers, and can now leverage #Qiskit to accurately run certain classes of quantum circuits with up to 5,000 two-qubit gate operations. This fuels new scientific value and progress towards #QuantumAdvantage