Rafael Macêdo
@rafammacedo.bsky.social
quantum information theory phd @ IIP, Natal. all things mathematical and theoretical i guess!
Reposted by Rafael Macêdo
Few texts have had a bigger positive impact in my scientific thinking than the first couple of pages of this arxiv.org/abs/0804.0327
The large deviation approach to statistical mechanics
The theory of large deviations is concerned with the exponential decay of probabilities of large fluctuations in random systems. These probabilities are important in many fields of study, including st...
arxiv.org
December 27, 2025 at 10:14 AM
Few texts have had a bigger positive impact in my scientific thinking than the first couple of pages of this arxiv.org/abs/0804.0327
Reposted by Rafael Macêdo
In predicting properties of electronic structure or deciphering signals produced by Nature, will classical artificial intelligence eat quantum's lunch? Here @robbieking1000.bsky.social considers the issue from the perspective of complexity theory.
quantumfrontiers.com/2025/12/11/c...
quantumfrontiers.com/2025/12/11/c...
Can AI Predict the Quantum Universe?
AI promises to revolutionize the way we do science, which raises a central technological question of our time: Can classical AI understand all natural phenomena, or are some fundamentally beyond it…
quantumfrontiers.com
December 14, 2025 at 6:16 PM
In predicting properties of electronic structure or deciphering signals produced by Nature, will classical artificial intelligence eat quantum's lunch? Here @robbieking1000.bsky.social considers the issue from the perspective of complexity theory.
quantumfrontiers.com/2025/12/11/c...
quantumfrontiers.com/2025/12/11/c...
Reposted by Rafael Macêdo
Did anyone notice that a quantum algorithms book dropped this year?
doi.org/10.1017/9781...
It's based on this paper:
arxiv.org/abs/2310.03011
doi.org/10.1017/9781...
It's based on this paper:
arxiv.org/abs/2310.03011
Quantum Algorithms
Cambridge Core - Algorithmics, Complexity, Computer Algebra, Computational Geometry - Quantum Algorithms
doi.org
November 21, 2025 at 1:24 PM
Did anyone notice that a quantum algorithms book dropped this year?
doi.org/10.1017/9781...
It's based on this paper:
arxiv.org/abs/2310.03011
doi.org/10.1017/9781...
It's based on this paper:
arxiv.org/abs/2310.03011
Reposted by Rafael Macêdo
I am extremely proud of this review article to Quantum Machine Learning 🌟🌟
arxiv.org/abs/2511.15969
Our goal was to give a bird's eye view of QML, from quantum PAC, to Linear Algebraic approaches and variational methods.
Huge thanks to my co author Su Yeon Chang@
arxiv.org/abs/2511.15969
Our goal was to give a bird's eye view of QML, from quantum PAC, to Linear Algebraic approaches and variational methods.
Huge thanks to my co author Su Yeon Chang@
A Primer on Quantum Machine Learning
Quantum machine learning (QML) is a computational paradigm that seeks to apply quantum-mechanical resources to solve learning problems. As such, the goal of this framework is to leverage quantum proce...
arxiv.org
November 21, 2025 at 2:38 AM
I am extremely proud of this review article to Quantum Machine Learning 🌟🌟
arxiv.org/abs/2511.15969
Our goal was to give a bird's eye view of QML, from quantum PAC, to Linear Algebraic approaches and variational methods.
Huge thanks to my co author Su Yeon Chang@
arxiv.org/abs/2511.15969
Our goal was to give a bird's eye view of QML, from quantum PAC, to Linear Algebraic approaches and variational methods.
Huge thanks to my co author Su Yeon Chang@