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Ebrahim Forati
Electromagnetics enthusiast
Ebrahim Forati is a professional in the field of quantum hardware, currently working at Google Quantum AI since September 2021. He is based in San Jose, California. His role involves advancing quantum computing technologies, particularly focusing on superconducting qubits and error correction methods.
Education and Early Career
Forati holds a Ph.D. in Electrical Engineering from the University of Wisconsin-Milwaukee, where he completed his dissertation on a novel transport-based model for wire media and its application to scattering problems. His academic journey included significant research on quantum optics and metamaterials.
Before joining Google, Forati worked at several notable companies:
- Apple (June 2018 - September 2021): He was involved in optical sensing hardware.
- Applied Materials (November 2017 - June 2018): He worked on next-generation lithography tools for displays.
- TDK (May 2016 - November 2017): His focus was on quantum dot lasers and LiDAR sensor technologies.
Research Contributions
Forati has contributed to various significant publications in quantum computing, including works on suppressing quantum errors and measurement-induced entanglement. His research is aimed at developing hardware and software tools that enhance the capabilities of quantum computers beyond classical limits.123
Certifications and Honors
He has also pursued additional certifications in quantum computing from MIT xPRO and has received several awards during his academic career, including the Chancellor's Award from the University of Wisconsin-Milwaukee and travel fellowships from the National Academies.24
Online Presence
Forati is active on LinkedIn, where he shares insights related to his work and research in quantum hardware.2 He also engages with the community on platforms like Twitter, where he discusses topics related to electromagnetics and quantum computing.5
Highlights
Our note on the electromagnetic couplings among resonators and transmission lines: https://lnkd.in/gcgfBPAn The document summarizes some of the common definitions and approximations used in describing coupled EM resonators. Precise control of the EM couplings is crucial for the design and operation of superconducting qubit devices.
Re-sharing this blog post especially for my fellow electromagnetic engineers/researchers outside of quantum computing. It includes a high level technical overview of this week's announcement by Google Quantum AI's team. In short, information is protected from errors by adding redundancy to the system. That is, information is spread across many physical qubits such that errors of individual qubits can be detected and tracked/corrected. These qubits collectively contain a single bit of quantum information and form a logical qubit. This is implemented by a particular code called surface code. If the error rate of the physical qubits in a logical qubit is less than a threshold, scaling their number will suppress the logical qubit's error rate. The announcement was about the first experimental demonstration of such error suppression.
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Mesh makes it much easier to stay in touch with the people you care about. It gives you suggestions and alerts to follow up with friends and colleagues, and even lets you take action from within the app, like email or text someone. Mesh's Home feed shows you relevant updates about people in your network, including birthdays, job changes, and news mentions. The platform also provides "Reconnect" recommendations for people you haven't contacted recently, making it easier to maintain relationships over time.
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Mesh is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Mesh beneficial.
Mesh offers competitive pricing in the personal CRM market. Mesh offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Mesh's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
Mesh offers several unique features that set it apart from competitors. Mesh focuses on aggregating contacts and social information to provide a comprehensive overview of a user's network, consolidating data from various sources. Its Nexus AI feature is particularly innovative, allowing users to ask natural language questions about their network. Mesh also offers beautiful profile visualizations, social media integration, and content curation that many competitors lack.
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