\begin{proof} This concludes the proof. \end{proof}
Almost there!
07.02.2026 08:05
👍 58
🔁 2
💬 2
📌 0
\begin{proof} This concludes the proof. \end{proof}
Almost there!
What would really be the implications of taking Santa Claus seriously?
It's the time of the year to review the current state of the physics of Santa Claus
1/12
I hope no reindeer were harmed in the production of this thread.
Maybe I’ll give it a try!
🚨Applications for LANL's 2026 Quantum Computing Summer School are open!
Please apply here 👇
academicjobsonline.org/ajo/jobs/31108
Reposts appreciated!
Deadline to Apply is January 11th 2026. Still, you should go and apply now!
Simplest recipe ever, and a big hit with family: buy a basic olive oil focaccia, top with sliced mozzarella di bufala, grated asiago, fried zucchini slices, thinly sliced red onions, oregano. Bake at 350 for 10 min, then finish off by broiling at 500 for 2 minutes.
If we are talking about the distance between quantum states, we would refer to the fidelity.
So what would it be for the case of the set of unitary operators earlier? Would it describe a physical interpretation of what type of unitary channel? Or is it the distance between the initial state and unitary transformed state?
If the uncertainty is zero, the state corresponds to either spin-up or spin-down; this is a trivial case.
Say we have σ_z. The observable σ_z corresponds to the measurement of spin along the z-axis. A non-zero uncertainty in σ_z indicates that the state is not in a definite spin-up or spin-down eigenstate, but is instead in a superposition of both.
If a set of unitary operators themselves are considered observables, what is the physical interpretation of their uncertainty
Yesterday on Twitter, homeboy said we could put quantum computers in the dark craters of the moon.
Imagine just saying shit, without any type of knowledge on the topic, and people go nuts.
We continue to grow the QEC team at Microsoft Quantum! We have another open role for people just out of graduate school and we are interested in talking to mathematicians, physicists, computer scientists, etc.
jobs.careers.microsoft.com/global/en/jo...
#QuantumCareers #MicrosoftQuantum #Hiring
When and how will quantum computing broadly benefit humanity? Despite exhilarating recent progress, we still don’t know. Here my friend Jens Eisert and I assess the current status and the challenges ahead.
arxiv.org/abs/2510.19928
I have been reading Friedrich Nietzsche’s book - Twilight of the Idols as a bedtime reading material. A reevaluation of all values.
I want to publish another paper. Then figure out what/where/when/who and how to continue PhD. It feels like I am going through a slump, but just go with the flow and focus what’s in my hands for now.
Nur Rahimah Sakinah Abdul Salam, Jesni Shamsul Shaari, Stefano Mancini
Information Disturbance Tradeoff in Bidirectional QKD
https://arxiv.org/abs/2403.19156
So if I have a state rho, and I made measurements, i.e. by using POVM. That particular measurement will produce a set of outcomes with certainty probability. The uncertainty of each of the outcomes is measured by using Shannon entropy. Hence the uncertainty of the results is classical.
Does Von Neumann entropy ever discuss in terms of measurement?
Should I be grateful, or should I be alarmed that I just heard myself explaining theory like my boss?
A.I. is just Spiritualist seances for the 21st century
The consequences may not be immediate, but in five to ten years, the overreliance on LLMs could reshape the landscape of academic writing, especially in STEM, where originality, novelty, and rigor are required.
The dependency on LLMs could dull students’ skills in problem solving, critical thinking, and the ability to create accurate, precise, and compelling narratives in research.
I’m not advocating to put on stop to LLM use, but when students outsource their entire writing process, they miss the opportunity to develop critical thinking and articulate their own thoughts on the research and findings.
As a result, most submissions contained generic answers, with identical sentence structures and repetitive phrasing, and the worst part was the lack of depth on the assigned topics. It feels hollow.
This issue isn’t limited to research. While teaching a pre-university course to Gen Z students, I noticed that many of them relied heavily on LLMs to complete their assignments.
Another time, I caught the LLM misapplying properties of POVMs, and I pointed out how it was wrong, and it actually agreed with me.
For instance, while I was exploring some new ideas related to the Choi isomorphism, the references the LLM provided were incorrect, sometimes citing nonexistent theorems or completely unrelated ones.
I recently read an interesting article from Nature (www.nature.com/articles/s44...) on the use of LLMs in writing. While I believe LLMs are already widely used in scientific communities, including myself, I often find myself second guessing the references or mathematical theorems they provide.
