I made a mistake in the permission settings so none of you had access... UNTIL NOW! Kate actually pointed this out to me weeks ago and I thought I fixed it weeks ago, but apparently not! SchrödingerAI is built off of a Google service called NotebookLM. The secret sauce (and what actually makes it a valuable tool) is a custom web scraper I made to extract literally 1000+ quantum jobs, clean and extract only the relevant data, then format it in a way NotebookLM can interpret. The best way to interact with it right now is to ask questions relating to quantum jobs. Things like "What skills are necessary for [insert specific niche role]" or "I'm studying X, what jobs in quantum computing are applicable to the skills I gain doing X?". Vague questions yield unhelpful answers. The computer science saying goes: GARBAGE IN, GARBAGE OUT. So think carefully about your prompt! TLDR: check out the SchrödingerAI in the classroom section. I'm going to be making improvements to it, but check out what it can do right now 👇

Hey everyone, I saw IBM released a few 2026 internships. Wanted to start a discussion on what their teams may value most in a candidate. https://ibmglobal.avature.net/en_US/careers/OpenJobs/Quantum?10439=%5B674442%5D&10439_format=13594&listFilterMode=1&jobRecordsPerPage=9&

Hey team--I have been invited by a professor to contribute to her Lab, researching AI for Quantum Physics & Appearance Modeling and wanted to gauge thoughts on it. One of the functions I could potentially perform is: Adapting one of the physics based classical neural networks developed in the lab using a quantum simulator. I would be advised on how to develop coding environments using that simulator, and gain experience with neural networks to solve complex many-body problems. They focus on simulating materials for a broad range of research topics. I would learn how to evaluate these systems both qualitatively and quantitatively on publicly available quantum chemistry datasets. Does this sound like it would provide relevant, long term technical skills for quantum engineering, if there might be a better role to request playing in the lab (if so what would you suggest?), or if this might just be a distraction? Thanks everyone!

Many aspiring quantum engineers believe they need a deep background in quantum theory to be competitive. However, a close analysis of this industry job reveals a different, more practical entry point. This IBM Quantum role for a Microwave Design Engineer serves as a clear case study for a skills-first approach to building a career in quantum hardware. Let's deconstruct the core requirements. https://ibmglobal.avature.net/en_US/careers/JobDetail?jobId=37992&source=WEB_Search_NA ⚛️ Foundation: Core Engineering Expertise The primary requirements for this role are not in quantum mechanics, but in classical electrical engineering. The job posting lists the following as required technical expertise: - Demonstrated RF/microwave filter design knowledge (notch filters, bandpass filters, diplexers). - Mastery of EM modeling, circuit design, and layout tools such as Keysight ADS, Ansys HFSS, and Cadence. - Familiarity with test equipment, specifically vector network analyzers (VNAs). The immediate takeaway is that a deep, practical foundation in a traditional engineering discipline is the most critical asset. Expertise in industry-standard simulation software and hands-on lab experience with relevant test equipment are non-negotiable prerequisites. This is the bedrock upon which a quantum career is built. ⚛️ Application: Layering on Relevant Quantum Knowledge The "quantum" aspect of the role is positioned as an application of the core engineering skills. Critically, the job description states that experience with "superconducting circuits, is desirable but not required." This detail is significant. It implies that companies are willing to invest in teaching the specific quantum context to a candidate who already possesses a strong, classical engineering skill set. The effective strategy is not to learn all of quantum physics, but to learn the sub-field relevant to your engineering foundation. For an RF/microwave engineer, this means focusing on topics like:

I think the best way to learn quantum mechanics is learning the abstract mathematical reasoning behind it. It's the reason I switched to Pure Mathematics. Grinding linear algebra and doing tons of two level system practice problems helped a ton. Again, I do not consider myself to be a QM expert, but grinding simple two level problems really really helps your brain grapple with the counter-inuitive nature of QM