The hottest Quantum Computing Substack posts right now

And their main takeaways
Category
Top Technology Topics
The Nibble 4 implied HN points 22 Feb 25
  1. Microsoft has made a big step in quantum computing with their new Majorana chip. This chip could make quantum computing faster and more accurate, which is exciting for the future!
  2. Node.js is moving towards only using ESM (ECMAScript Modules), making it simpler for developers to build applications without worrying about different module systems. This should help streamline coding for many people.
  3. Companies like Apple are releasing new products like the iPhone 16e, while others are making big moves in AI and tech. It’s clear that innovation is happening at a rapid pace across the industry!
Bzogramming 22 implied HN points 06 Mar 23
  1. Quantum computers face significant engineering hurdles that limit their practical applications
  2. Quantum systems have a time-reversibility property, making them a type of reversible computer
  3. Reversible computing involves creating gates with the same number of inputs as outputs, like the CNOT gate
More is Different 3 implied HN points 18 Jan 25
  1. Building a quantum computer is very tricky because qubits are sensitive to their environment. If they interact with other things, they can lose their special state, making it hard to perform calculations.
  2. There are different types of quantum computers like trapped ion, superconducting, and photonic, each with its own challenges and advantages. For example, superconducting qubits need to be kept super cold, while photonic qubits work at room temperature but have their own difficulties in control.
  3. Current technology has big hurdles to overcome for scaling quantum computers up to the millions of qubits needed for practical use. Many experts think we might not easily reach such high numbers due to these challenges.
Quantum Formalism 19 implied HN points 19 Sep 20
  1. The foundation module of the lecture series will focus on finite-dimensional complex Hilbert spaces, aligning with standard quantum computing textbooks.
  2. The mathematics session in Lecture #1 included topics like natural numbers, integers, maps between sets, and discussion on cardinality of sets.
  3. Attendees are encouraged to participate in the live sessions for interaction and asking questions rather than solely watching replays.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
Bzogramming 15 implied HN points 13 Feb 23
  1. In computer science, there are hidden structures and algorithms that go beyond our current understanding.
  2. New paradigms of computation may hold solutions to complex problems, such as optimization and error correction.
  3. Exploring fields like quantum computing and biochemical computation could lead to groundbreaking discoveries in algorithmic tools.
Deep-Tech Newsletter 19 implied HN points 20 Oct 20
  1. The course aims to help reduce the mathematical barrier to Quantum Computation for software engineering and data science professionals interested in the field.
  2. Encouraging and nurturing professionals from diverse backgrounds, like Amira Abbas, in the deep-tech industry can lead to innovation and potential for emerging technologies.
  3. There is untapped talent in Africa, and providing education, support, and opportunities can unlock brain power for the deep-tech industry on the continent.
Data Science Weekly Newsletter 19 implied HN points 22 Oct 20
  1. Modern data infrastructure is becoming crucial for businesses, as they need better ways to analyze data for value. Companies are confused about the best technologies to use.
  2. Many businesses are investing in AI, but few are actually seeing big returns on that investment. About 11% of companies report gaining significant financial benefits from AI.
  3. There are new learning techniques in AI that allow models to learn from very few examples. This could make machine learning more accessible and reduce costs.

#89

The Nibble 2 implied HN points 16 Dec 24
  1. Google's new quantum chip, Willow, can perform complex calculations much faster than current supercomputers, which could improve AGI development.
  2. OpenAI and Google are actively releasing new AI models, indicating a competitive environment in AI technology.
  3. The emergence of new financial tools and regulations around crypto, like no capital gains tax countries and new crypto cards, suggests the growing mainstream acceptance of cryptocurrencies.
Data Science Weekly Newsletter 19 implied HN points 24 Oct 19
  1. A new gene editing method called prime editing works better than CRISPR. It can change DNA more accurately, which is a big deal for scientists.
  2. Teaching rats to drive tiny cars can help them feel less stressed and improve their learning. This shows how important the environment is for learning new skills.
  3. Quantum computing is growing and important experiments are being done to show its real potential. Researchers are working to solve complex problems that regular computers can't handle.
Data Science Weekly Newsletter 19 implied HN points 12 Sep 19
  1. Machine learning is being used in fashion to create personalized outfits for users, showing how AI can enhance personal style.
  2. AI technology is transforming biology, especially in imaging, which could lead to significant advancements in understanding and treating diseases.
  3. Protection against job displacement from automation is important, with ideas like a robot tax being proposed to safeguard workers' roles.
Machine Economy Press 3 implied HN points 25 Apr 23
  1. Google's Sec-PaLM is a specialized AI language model fine-tuned for cybersecurity use cases.
  2. Generative AI in cybersecurity is being utilized by cloud giants like Google to enhance security measures.
  3. Sec-PaLM assists in threat intelligence analysis, incident prevention, and enhances the capabilities of Google's cloud cybersecurity services.
Quantum Formalism 0 implied HN points 18 Oct 21
  1. The Quantum Formalism 2022 Hackathon focuses on showcasing mathematical knowledge in code, open to teams of up to three people with cash prizes and internship opportunities.
  2. Participants must apply through a Google form to be considered for the hackathon.
  3. All the code and assets created during the hackathon will be open-sourced.
Quantum Formalism 0 implied HN points 20 Sep 21
  1. It has been a year since the quantumformalism.com community started, aiming to make abstract mathematics accessible to STEM professionals, especially those interested in quantum computing and AI like Geometric Deep Learning.
  2. Acknowledging and thanking Bambordé Baldé for delivering weekly lectures despite a busy schedule is appreciated and encouraged on social media or Discord.
  3. Congratulations to the participants for stepping out of their comfort zones and engaging with abstract mathematical topics through the Quantum Formalism community.
Quantum Formalism 0 implied HN points 08 Mar 21
  1. The talk about the performance of Domain-Wall Encoding for Quantum Annealing provides free access to datasets and code through a downloadable link.
  2. Those interested in course certification are encouraged to explore the paper and possibly challenge themselves by using it for practical work.
  3. Attendees of the session have the opportunity to ask questions directly to Nick, enhancing the learning experience and understanding of the topic.
Quantum Formalism 0 implied HN points 26 Feb 21
  1. Bambordé Baldé is hosting two events: a webinar on Quantum Annealing on March 12 and a live Q&A for course certification and career tips.
  2. Bambordé's company values STEM talent, independent thinkers, mission-driven individuals, team players, those immune to hype, and humble individuals.
  3. There is a discussion on whether being an independent thinker and a team player can work together effectively.
Quantum Formalism 0 implied HN points 12 Feb 21
  1. There is an upcoming fireside chat about Polyadic Quantum Machine Learning with Joaquín Keller on Feb 12, 2021 at 5pm UK time. Register to attend and learn more about this exciting topic!
  2. If you can't make it to the event, a recording will be available on YouTube to catch up later. Check out the YouTube playlist for more related content.
  3. The Zaiku Group is hosting this community event, so it's a great opportunity to engage and stay informed about advancements in Polyadic Quantum Machine Learning.
Quantum Formalism 0 implied HN points 19 Sep 22
  1. The MTFA course lectures have moved to a biweekly release format, so now they will be released every two weeks.
  2. Attend the webinar 'An Optimal Entanglement Distribution Policy for a Quantum Switch' happening on Monday, September 26, by registering at the provided link.
  3. The Quantum Formalism community offers various resources like a YouTube playlist, GitHub repository for homework and solutions, Discord channel, and a LinkedIn page.
Quantum Formalism 0 implied HN points 15 Dec 20
  1. Hosted fireside chat with founder of Quarks Interactive about marrying quantum computing with gaming
  2. Reminder about joining the chat at 9 am PST/6 pm CET via the provided link
  3. Registration is open for the final 2020 lecture
Quantum Formalism 0 implied HN points 20 Oct 20
  1. Amira Abbas shares an inspiring message about being excited rather than intimidated by what you don't know.
  2. Diversity in backgrounds and access to education, support, and opportunities can greatly benefit fields like quantum machine learning.
  3. Interested individuals can attend live lectures by filling out a Google form and ensuring they are familiar with the basics from previous sessions.
Quantum Formalism 0 implied HN points 08 Dec 22
  1. The group theory crash course is ending with session 20 covering group representations and unitary representations
  2. Certificates of completion will be issued to participants of the nearly year-long journey
  3. A new meetup has been started by a community member to study the applied aspects of quantum computing, emphasizing programming
Solresol 0 implied HN points 27 May 24
  1. Many students in the cohort did not train their own computer vision models, instead relying on prompting AI models which proved to be inefficient and not very accurate.
  2. Explainability of results was emphasized in the research projects, with students looking into explaining their models' outcomes.
  3. The compatibility of blockchains with quantum computers is uncertain due to the vulnerability of traditional encryption methods to quantum breaking, leading to ongoing research on solutions.
Quantum Formalism 0 implied HN points 13 Sep 22
  1. The webinar discusses an optimal strategy for distributing entanglements in a quantum switch, crucial for quantum network applications.
  2. The proposed Max-Weight scheduling policy aims to generate end-to-end entanglements efficiently at the quantum switch.
  3. The speaker, Thirupathaiah Vasantam, has a background in performance modeling and analysis of communication networks with a focus on quantum networking.
Deep-Tech Newsletter 0 implied HN points 31 Jan 24
  1. European intelligence agencies emphasize the need for standardization before commercializing Quantum Key Distribution (QKD), highlighting its current limitations and the importance of investing in research.
  2. The Quantum Formalism (QF) community has successfully launched a Mathematical GPT tool to assist members in learning abstract mathematics related to quantum mechanics and quantum information science.
  3. The QF GPT tool offers interactive learning experiences and is tailored to help users understand complex mathematical concepts, aiming to make advanced mathematical resources widely accessible in the future.
Deep-Tech Newsletter 0 implied HN points 31 Dec 23
  1. Zaiku Group focused on collaboration, working with organizations like the National Quantum Computing Centre and University of Malta BioGMT Team to harness the power of quantum computing for biomedical data.
  2. They participated in the NQCC Hackathon, where their use case on equivariant embeddings was selected, showcasing their commitment to practical applications of quantum computing capabilities.
  3. The team also engaged in knowledge sharing through events like the HealthTech Cluster Huddle and launched a quantum hardware course series dedicated to optical models.
Deep-Tech Newsletter 0 implied HN points 22 Oct 21
  1. The quantum computing industry is still in early stages, needing high-risk R&D investment with a long-term return on investment timeline of 15-20 years, potentially conflicting with traditional VC investment cycles.
  2. Rigetti's $1.5bn SPAC could lead to more SPACs by companies with similar qubit technologies, and there might be a shift for quantum software companies to join the trend.
  3. The Quantum Formalism Community focuses on teaching advanced mathematics to STEM professionals, aiming to bridge academia and industry, offering opportunities like Industry Career Fellowship and a Deep-Tech Incubator.
Deep-Tech Newsletter 0 implied HN points 18 Aug 21
  1. Quantum computing hype may lead to unrealistic expectations and a bubble in the industry, causing concerns for legitimate research and innovation efforts.
  2. Investors should approach quantum companies cautiously, ensuring transparency about risks and avoiding unreasonable promises.
  3. The rush into quantum computing may divert talent from other scientific fields, potentially leading to reputational damage to science as a whole.
Quantum Formalism 0 implied HN points 19 Dec 22
  1. 2022 has been a fantastic year for the QF community, driving enthusiasm for abstract mathematical topics relevant to quantum computing.
  2. A course on Measure Theory & Functional Analysis (MTFA) is ongoing, beneficial for those interested in Continuous Variable Quantum Information and Machine Learning.
  3. QF plans to launch an open source quantum computing proof of concept microgrant program with a narrow focus on specific areas like classical-to-quantum data encoding.
Quantum Formalism 0 implied HN points 10 Jan 23
  1. The course will cover Measure Theory, Functional Analysis, and delve into infinite-dimensional Hilbert spaces.
  2. A crash course on Category Theory is planned, focusing on topics like Functors, Adjoint Functors, and its applications in various mathematical areas.
  3. A Quantum computing PoC microgrant scheme will be initiated, offering grants and mentorship to work on projects related to advanced mathematical topics.
Quantum Formalism 0 implied HN points 20 Jan 23
  1. A webinar on Physics-informed Quantum Communication Networks is happening today.
  2. The webinar starts in about two hours and registration is available on crowdcast.io.
  3. If unable to attend, the recording will be shared on their YouTube channel in the coming days.
Quantum Formalism 0 implied HN points 13 Apr 23
  1. A special webinar on classical-to-quantum sequence encoding in genomics will take place tomorrow at 4 pm GMT with key insights presented by the team working on QF's data encoding challenge.
  2. The webinar abstract highlights innovative methods that combine diverse fields like Electrical Engineering, Information Theory, and Neural Networks to create efficient data encoding schemes for genomics.
  3. The research explores utilizing lossless compression, wavelet-based encoding, and information entropy in developing classical-to-quantum data encoding methods, offering implications for the future of bioinformatics and quantum computing.
Quantum Formalism 0 implied HN points 15 Aug 23
  1. A Q&A session replay is available on YouTube for the Quantum Hardware course by Quantumformalism.
  2. Those interested in the course should apply before August 25th by filling out the application form.
  3. The Zaiku Group is hosting the Quantumformalism course and provides essential information regarding the course and registration.
The Digital Anthropologist 0 implied HN points 04 Dec 23
  1. Humanity can handle a lot more technology than we might think, from AI to tools for fighting climate change.
  2. Feeling overwhelmed by technology often comes from how we use information technologies like social media and AI in our daily lives.
  3. As we address the negative impacts of technologies like social media, we are also advancing with AI and other tools to address important issues like manufacturing efficiency and climate change.