The hottest Quantum Computing Substack posts right now

And their main takeaways
Category
Top Technology Topics
Faster, Please! 1005 implied HN points 21 Mar 26
  1. AI is surging with huge investments and a shift from answering questions to taking action, including efforts to build fully automated researchers, but it also brings real risks like security concerns, harmful chatbot behavior, and deepfakes.
  2. Energy is still the core currency of civilization: disruptions to energy quickly ripple into food and economic costs, and long-term progress depends on energy multiplied by knowledge — energy times information.
  3. Investors and scientists are leaning into big technologies like nuclear fusion, commercial space stations, and quantum computing, even as other industries such as batteries and some electric-vehicle realities face tough economic and practical challenges.
Why is this interesting? 1025 implied HN points 05 Feb 26
  1. Nation-states are quietly collecting huge amounts of encrypted data today that they can’t read now, betting that future quantum computers will let them decrypt it later.
  2. That strategy flips the usual logic: instead of information losing value over time, encrypted data can become more valuable as quantum advances approach.
  3. This reality forces a rethink of security and policy — we need post-quantum encryption and stronger counterintelligence because many current secrets are effectively already compromised even if they remain unreadable today.
Tapa’s Substack 119 implied HN points 10 Sep 24
  1. There's a new idea to use light to switch superconducting signals with CMOS circuits. This could help in areas like quantum computing and sensors.
  2. Using light for this switching can provide thermal isolation, which is a big advantage. It makes the connection between different technologies safer and more efficient.
  3. Two methods to switch are discussed: thermal and non-thermal. Non-thermal switching might be better because it's more efficient, using light directly instead of heating things up.
Gonzo ML 315 implied HN points 07 Jan 26
  1. Quadruped robots (dog- or cat-like) will get much better and more practical for real-world use, while humanoid home robots stay too expensive.
  2. We’ll see production-grade agents with predictable 99.9% reliability and richer integrations, driven by better infrastructure and cognitive architectures.
  3. Advances in world models, latent-space reasoning, and multimodal architectures will create new interactive environments and begin to accelerate scientific discovery in certain domains.
Chamath Palihapitiya 1592 implied HN points 23 Dec 23
  1. China leads in global EV transition with over 18 million EVs sold since 2017.
  2. Nearly 9 million student loan borrowers missed October payments despite a 12-month grace period.
  3. Apple focuses on running AI models directly on iPhone hardware, impacting the delivery of AI solutions.
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Don't Worry About the Vase 1971 implied HN points 23 Dec 24
  1. AI developments have rapidly advanced recently, with major releases from companies like Google and OpenAI, indicating significant changes ahead.
  2. Many people struggle to distinguish between predictions and assurances, leading to costly misunderstandings in planning and decision-making.
  3. The emergence of competing social media platforms, such as BlueSky, shows that users are seeking alternatives amid frustrations with existing sites like Twitter.
Newcomer 1179 implied HN points 22 Apr 23
  1. Hype often dominates people's perception of new technologies.
  2. AI falls in a unique space between tangible reality and speculative conversation.
  3. Foundation models in AI aim to expand memory capacity, unlocking new possibilities.
@adlrocha Weekly Newsletter 64 implied HN points 14 Dec 25
  1. Complexity theory measures how much time and memory algorithms need so we can tell which problems scale feasibly and which become intractable. It separates problems that are merely computable from those that are practically solvable before resources run out.
  2. P contains problems solvable in polynomial time, while NP contains problems whose solutions can be verified quickly even if they seem hard to find. NP-Complete problems are the hardest in NP because every NP problem can be reduced to them, and NP-Hard problems are at least that hard but not necessarily verifiable quickly.
  3. If P = NP, many cryptographic systems would break because one-way functions would no longer exist. At the same time, P = NP would let us solve huge optimization and AI problems exactly and efficiently, radically changing many fields.
Faster, Please! 731 implied HN points 01 Mar 25
  1. OpenAI has released a new AI model called GPT-4.5 that is better at understanding prompts and generating content. This improvement makes AI more reliable for writing and coding tasks.
  2. Amazon has launched its first quantum computing chip named Ocelot, which could tackle complex problems much faster than regular computers. This is a big step in the competition for advanced technology.
  3. AI is now helping organizations to better target aid for people in need by analyzing various data sources. This technology can make sure help reaches the right communities, improving ways to fight poverty.
The Lunar Dispatch 648 implied HN points 08 Mar 23
  1. Progress in creating theoretical spacetime tunnels like wormholes has been slow.
  2. Albert Einstein, known for his scientific achievements and humanitarianism, had a complex private side.
  3. With the advent of quantum computers, concerns arise about privacy and the need for mutual forgiveness in the face of revealed dark sides.
Points And Figures 612 implied HN points 28 Jan 25
  1. Quantum computing could potentially break the security of cryptocurrencies like Bitcoin. This means new, stronger security measures might be needed constantly.
  2. Crypto operates on an open network that encourages wide accessibility and data collection, while traditional fiat systems are closed and controlled by central authorities like the Federal Reserve.
  3. There's a debate about whether the benefits of paying to use a closed financial system outweigh the risks of using an open one, especially with the advent of advanced technologies.
ChinaTalk 415 implied HN points 19 Nov 24
  1. China's quantum technology sector may rely more on state funding due to new U.S. restrictions on investments. This means Chinese companies could get support directly from the government instead of international investors.
  2. The recent rules about quantum tech could make it harder to understand what's happening in China's commercial quantum efforts. Since U.S. money is less involved now, there may be less transparency.
  3. Even though the restrictions are significant, they might not stop China's progress in quantum technologies. China already has strong funding and a growing start-up scene focused on these developments.
do clouds feel vertigo? 19 implied HN points 21 Jun 24
  1. Quantum Country is a great book for learning about quantum computing. It's easy to understand if you know some basic math.
  2. Thinking about problems in more than two dimensions can open up new ideas. It can be really helpful to have extra complexity in your thinking.
  3. There’s a board game called Entanglion that teaches quantum logic in a fun way. It's a creative way to see quantum concepts in action.
Quantum Formalism 99 implied HN points 04 Aug 23
  1. Quantum Hardware Course offered by Zaiku Group covers various quantum hardware models like Quantum Optical Models, Ion Traps, Nuclear Magnetic Resonance, and Superconductivity.
  2. Prerequisites for the course include knowledge of quantum mechanics and quantum optics concepts, with references to specific readings.
  3. Enrollment for live sessions and certification in the course require commitment and completion of the entire program by applicants.
Quantum Formalism 39 implied HN points 24 Feb 24
  1. The Quantum House of Cards paper by Xavier Waintal raised varied reactions in the quantum computing community, sparking debate between skeptics and optimists.
  2. Zaiku Group adopts a balanced view on quantum computing, recognizing both the transformative potential and significant challenges, advocating for open dialogue between skeptics and optimists.
  3. Xavier Waintal will hold a talk in the Quantum Formalism community on February 29th, promoting a nuanced and productive discourse on quantum computing.
Rod’s Blog 39 implied HN points 22 Feb 24
  1. Quantum computing offers faster and more efficient processing of large and complex data sets, benefiting generative AI by enabling tasks like sampling, optimization, and linear algebra in a fraction of the time required by classical computers.
  2. Challenges for quantum computing in generative AI include scalability issues, lack of interpretability, and integration difficulties with classical systems, limiting their full potential.
  3. General availability of quantum computing could bring both enhanced benefits (like advanced data creation and model improvement) and increased risks (such as misuse, security threats, and quantum arms races) in generative AI and across various domains.
Rod’s Blog 39 implied HN points 19 Feb 24
  1. Quantum computing poses a serious threat to conventional cryptography due to powerful quantum algorithms like Shor's and Grover's, which can compromise commonly used encryption schemes.
  2. Preparing for quantum computing challenges now can lead to the development of quantum-resistant cryptography, using both classical and quantum techniques to withstand quantum attacks and enhance security.
  3. Quantum cryptography offers innovative possibilities like quantum key distribution and quantum secure communication, driving collaboration and innovation across various fields to enhance security and privacy.
Rod’s Blog 79 implied HN points 15 Sep 23
  1. Quantum computing has the potential to significantly enhance computational power and speed in AI tasks, offering faster and more accurate predictions.
  2. Quantum computing enables the development of more sophisticated machine learning techniques by processing and analyzing large amounts of data more efficiently.
  3. Quantum-inspired algorithms can be leveraged to improve classical AI algorithms, showcasing the benefits of quantum computing even without fully-fledged quantum computers.
Not Boring by Packy McCormick 111 implied HN points 29 Nov 24
  1. Microsoft and Atom Computing are making big moves in quantum computing by using neutral atom processors to create stable computations. This could lead to real breakthroughs in things like medicine and cryptography.
  2. Nabla Bio has created an AI platform that can design new antibodies from scratch, speeding up the process of developing new drugs. This means we could potentially treat more diseases faster and cheaper.
  3. Starting in fall 2025, MIT will offer free tuition to students from families earning under $200,000, making education more accessible. This could help more talented students pursue important scientific and technical careers.
Let Us Face the Future 218 implied HN points 24 May 23
  1. State of the Future is a deep tech tracker covering a wide range of technologies like computer vision, generative AI, and quantum hardware.
  2. The three main trends identified in the future include solving productivity paradox, the shift from software in digital world to real world, and having optimism for the future.
  3. Important news includes suppressing quantum errors, challenges faced by Amazon's drone delivery project, and closures of vertical farming startups due to high costs.
Lukasz Olejnik on Cyber, Privacy and Tech Policy Critique 58 implied HN points 05 Jun 23
  1. Russian red teaming exercises target industrial systems for cyberattacks
  2. Malware campaign targets iPhones, including employees at cybersecurity company Kaspersky
  3. US government advised to expedite migration to post-quantum cryptography
Deep-Tech Newsletter 19 implied HN points 23 Mar 24
  1. A new 'QF Abstract Mathematics 101 Bootcamp' is launching annually starting in June 2024 to help bridge the gap in mathematical knowledge within the Quantum Formalism community.
  2. The bootcamp curriculum will cover topics like Set theory, Abstract Algebra, and Differential Geometry, catering to those interested in areas like quantum computing and machine learning.
  3. Participants of the bootcamp will receive certifications upon completing each module and will have the opportunity to learn from experts like Bambordé Baldé and Max Arnott.
Rod’s Blog 39 implied HN points 07 Sep 23
  1. AI cyber attacks are on the rise, becoming more prevalent and sophisticated, targeting individuals and organizations using AI algorithms to evade traditional security measures.
  2. Hackers utilize AI-powered botnets in attacks like the TaskRabbit incident, which compromised millions of user accounts, exposing sensitive data such as Social Security numbers and bank account details.
  3. Deepfakes, evasion, oracle attacks, compromised AI systems, and quantum computing present serious threats, necessitating robust cybersecurity measures and proactive defense strategies to protect against evolving AI-enabled attacks.
Quantum Formalism 39 implied HN points 01 Sep 23
  1. A quantum hardware course has begun with a welcome session and a video lecture on First Order Differential Equations as a prerequisite.
  2. Applications for joining the course are closed, but there might still be a chance to join by reaching out via email.
  3. Exciting journey ahead in exploring the world of quantum hardware with Bambordé.
More Than Moore 140 implied HN points 05 Dec 23
  1. Quantum computing aims to disrupt areas like chemistry, optimization, and machine learning.
  2. Key to the usefulness of quantum computers are qubit stability and error mitigation techniques.
  3. The future of quantum computing involves scaling up both qubits and gates, with IBM showcasing a roadmap to achieve 100 million gates by 2029.
Technology Made Simple 59 implied HN points 06 Sep 22
  1. Understanding how computers differentiate between positive and negative numbers is crucial in programming.
  2. Computers use memory bits to store the sign of numbers and their values, applying similar techniques for storing decimals.
  3. Breaking down complex problems into simpler, solved parts is a common approach in problem solving across software engineering and mathematics.
QTR’s Fringe Finance 27 implied HN points 10 Feb 25
  1. Crypto might be an early warning sign for future market troubles. If things go bad in crypto, it could affect the whole economy too.
  2. The introduction of powerful quantum computers raises questions about the security of cryptocurrencies like Bitcoin. If hackers can crack the code, it could lead to serious issues.
  3. Many American consumers and investors are feeling financially strained right now. This situation could lead to bigger problems in the stock market.
Deep-Tech Newsletter 19 implied HN points 03 Oct 23
  1. Zaiku participated in the NQCC hackathon on quantum computing, showcasing equivariant embeddings and fostering future collaborations.
  2. Bambordé Baldé attended the HealthTech Cluster Huddle, presenting Zaiku's work in quantum computing and privacy-enhancing technologies (PETs).
  3. The eagerly awaited quantum hardware course by Zaiku, led by Bambordé Baldé and Carlos H. G. Bessa, has officially begun.
Deep-Tech Newsletter 19 implied HN points 01 Sep 23
  1. A quantum hardware course has begun with a welcome session and a prerequisite lecture on 'First Order Differential Equations,' accessible through a dedicated YouTube playlist.
  2. Applications to join the course are closed, but interested individuals can still reach out to join. Joining sooner will secure a spot in the live sessions by Carlos Bessa after completing the prerequisite.
  3. The course promises an exciting journey into the universe of quantum hardware, led by Bambordé Baldé, the Co-Founder & Head of Mathematical Sciences at Zaiku Group.
State of the Future 19 implied HN points 04 Dec 24
  1. Silicon spin qubits are smaller and cheaper than other types, making them more scalable. They can potentially revolutionize quantum computing by using existing semiconductor technology.
  2. Cryo-CMOS technology allows quantum computers to operate at very low temperatures, which is essential for maintaining quantum states. This can also help reduce cooling costs for data centers, which spend billions on keeping their systems cool.
  3. The focus in quantum computing is shifting from just the number of qubits to how efficiently they perform operations. Spin qubits might have an advantage here due to their longer coherence times and faster gate operations.
State of the Future 14 implied HN points 16 Dec 24
  1. Google's Willow project has made big progress by keeping error rates low, which is important for building better quantum computers. This means more qubits can work together, helping create more powerful systems.
  2. The number of qubits isn't the most important thing anymore; it's about the quality of those qubits. Focusing on how well they work is more useful than just counting them up.
  3. There's a race in the quantum world to be the first to show clear advantages in real applications. The first company that does this could grab a lot of attention and resources, which could change the game for others.
ASeq Newsletter 14 implied HN points 21 Nov 24
  1. QuantumSi shared new information during their investor day, showcasing their advancements. They seem to be moving beyond traditional chips in their technology.
  2. The QuantumSi project is gaining attention, and many connections are being made in the community. It's a good time to get involved and learn more.
  3. Readers are encouraged to check out the investor day presentation for deeper insights into QuantumSi's direction. It might be useful for those interested in tech innovations.
The Nibble 7 implied HN points 13 Feb 25
  1. OpenAI is working hard to develop a coding model that's expected to be the best by year end, potentially transforming how coding tasks are approached.
  2. There is a new trend emerging called 'Society-as-a-service,' which could change how communities are built and managed.
  3. A new feature in web development allows elements to be moved in a document without losing their state, making user interactions smoother.
Quantum Formalism 2 HN points 22 Mar 24
  1. The Quantum Formalism (QF) community is launching the 'QF Abstract Mathematics 101 Bootcamp' to bridge the mathematical gap between advanced and new members, offering foundational knowledge crucial for quantum computing.
  2. The boot camp will cover modules on set theory, point-set topology, abstract measures, abstract algebra, measure theory & functional analysis, and differential geometry, with live lectures and instructional videos by industry experts.
  3. Participants will receive certifications for completing each module and have the opportunity to learn abstract mathematics relevant to quantum computing and other areas like machine learning.
More is Different 7 implied HN points 13 Jan 25
  1. Quantum computers can do some tasks much faster than classical computers, but many claims about their abilities are exaggerated. For example, Google showcased a problem they created that doesn't have practical use.
  2. Currently, quantum computers mainly have three known useful algorithms, and none have been developed since 1996. This means their practical applications are very limited for now.
  3. Investing in quantum computing is risky because there is no clear winner among the different technologies. Many startups might fail, and it’s uncertain when quantum computers will become truly useful.
Quantum Formalism 19 implied HN points 11 Oct 21
  1. Lie Groups play a key role in connecting the main parts of Differential Geometry to quantum computing, especially in the context of quantum gates forming Lie Group structures like U(n) and SU(n).
  2. Understanding Lie Groups and smooth manifolds is crucial in grasping the foundation behind Quantum Kernels and their relation to machine learning, including geometric deep learning.
  3. The mathematics covered in quantum formalism courses not only relate to physics and quantum computing but also have practical applications in areas like machine learning, expanding the relevance of the knowledge learned.