Beyond Space-Time and Quantum Mechanics.
Nima Arkani-Hamed.
(June 28, 2025)
A tribute to jim simons in celebration of the importance of basic science and mathematics.
Leaders in mathematics, science and philanthropy gathered on June 27, 2025, to remember the incredible contributions of Jim Simons and to inspire continued philanthropic support of basic research.
Karl Friston, Michael Levin, and Chris Field sit down for an epochal conversation on cognition and consciousness.
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CORRECTION:
- Chris Fields emailed me the following: “I referred to Peter Strawson when I meant to refer to his son, Galen Strawson, who has done the work on panpsychism.”
LINKS MENTIONED:
- Curt’s AMA #:3 https://youtu.be/SX9q2D6b5bc.
- Karl Friston #2: https://youtu.be/SWtFU1Lit3M
- Karl Friston #1: https://youtu.be/2v7LBABwZKA
- Michael Levin: https://youtu.be/Z0TNfysTazc.
TIMESTAMPS:
00:00:00 Introduction.
00:03:20 Michael Levin answers: “What do you respect about Chris / Karl?“
00:04:45 Chris Fields answers: “What do you respect about Michael / Karl?“
00:05:45 Karl Friston answers: “What do you respect about Chris / Michael?“
00:07:46 Self organization / Autopoiesis / Why does life form?
00:12:11 How does cognition emerge from smaller parts?
00:14:18 Why do we see “things” independent from one another? Why in space / time?
00:18:40 Relationship between cognition and consciousness.
00:22:03 The Meta Hard Problem.
00:30:37 Why is complexity associated with “awareness”?
00:35:56 Is society one large brain, with each person acting as a neuron?
00:44:17 Duality between: Did you act on the world? Or did the world act on you?
00:51:32 Babbling, and becoming a “self“
01:11:22 “300 milliseconds” is a special unit of time for consciousness.
01:15:49 Quantum Babbling.
01:21:49 The difference between “randomness” and “quantum randomness“
01:30:03 The difference between “external” and “internal” are both real and illusory.
01:33:41 Studying consciousness / the self and the concomitant existential dread.
01:48:19 Michael Levin: “Something important goes all the way down“
01:51:12 Science starts with faith.
After the successful separation of a monolayer of carbon atoms with honeycomb lattice known as graphene in 2004, a large group of 2D materials known as TMDCs and MXenes were discovered and studied. The realm of 2D materials and their heterostructures has created new opportunities for the development of various types of advanced rigid, flexible and stretchable biosensors, and chemical, optoelectronic and electrical sensors due to their unique and versatile electrical, chemical, mechanical and optical properties. The high surface to volume ratio and quantum confinement in 2D materials make them strong candidates for the development of sensors with improved sensitivity and performance. This group of atomically thin material also offer mechanical flexibility and limited stretchability harvested towards making flexible and stretchable sensors that can be used at the interface with soft tissues and in soft robotics. However, challenges remain in fully realizing their potential in practical applications.
The aim of this collection is to highlight the current progress in the research of 2D materials, focusing on their integration into sensing technologies. We seek to provide a comprehensive overview of the advancements made in this area while addressing the challenges faced in developing practical applications.
In 2024, a quantum state of light was successfully teleported through more than 30 kilometers (around 18 miles) of fiber optic cable amid a torrent of internet traffic – a feat of engineering once considered impossible.
The impressive demonstration by researchers in the US may not help you beam to work to beat the morning traffic, or download your favourite cat videos faster.
However, the ability to teleport quantum states through existing infrastructure represents a monumental step towards achieving a quantum-connected computing network, enhanced encryption, or powerful new methods of sensing.
Lasers that are fabricated directly onto silicon photonic chips offer several advantages over external laser sources, such as greater scalability. Furthermore, photonic chips with these “monolithically” integrated lasers can be commercially viable if they can be manufactured in standard semiconductor foundries.
III-V semiconductor lasers can be monolithically integrated with photonic chips by directly growing a crystalline layer of laser material, such as indium arsenide, on silicon substrate. However, photonic chips with such integrated laser source are challenging to manufacture due to mismatch between structures or properties of III-V semiconductor material and silicon. “Coupling loss” or the loss of optical power during transfer from laser source to silicon waveguides in the photonic chip is yet another concern when manufacturing photonic chips with monolithically integrated lasers.
In a study that was recently published in the Journal of Lightwave Technology, Dr. Rosalyn Koscica from the University of California, United States, and her team successfully integrated indium arsenide quantum dot (QD) lasers monolithically on silicon photonics chiplets.
We propose and analyze a universal method to obtain fast charging of a quantum battery by a driven charger system using controlled, pure dephasing of the charger. While the battery displays coherent underdamped oscillations of energy for weak charger dephasing, the quantum Zeno freezing of the charger energy at high dephasing suppresses the rate of transfer of energy to the battery. Choosing an optimum dephasing rate between the regimes leads to a fast charging of the battery. We illustrate our results with the charger and battery modeled by either two-level systems or harmonic oscillators. Apart from the fast charging, the dephasing also renders the charging performance more robust to detuning between the charger, drive, and battery frequencies for the two-level systems case.
npj Quantum Inf ormation volume 11, Article number: 9 (2025) Cite this article.
The intensive pursuit for quantum advantage in terms of computational complexity has further led to a modernized crucial question of when and how will quantum computers outperform classical computers. The next milestone is undoubtedly the realization of quantum acceleration in practical problems. Here we provide a clear evidence and arguments that the primary target is likely to be condensed matter physics. Our primary contributions are summarized as follows: 1) Proposal of systematic error/runtime analysis on state-of-the-art classical algorithm based on tensor networks; 2) Dedicated and high-resolution analysis on quantum resource performed at the level of executable logical instructions; 3) Clarification of quantum-classical crosspoint for ground-state simulation to be within runtime of hours using only a few hundreds of thousand physical qubits for 2d Heisenberg and 2d Fermi-Hubbard models, assuming that logical qubits are encoded via the surface code with the physical error rate of p = 10–3. To our knowledge, we argue that condensed matter problems offer the earliest platform for demonstration of practical quantum advantage that is order-of-magnitude more feasible than ever known candidates, in terms of both qubit counts and total runtime.
Yoshioka, N., Okubo, T., Suzuki, Y. et al. Hunting for quantum-classical crossover in condensed matter problems. npj Quantum Inf 10, 45 (2024). https://doi.org/10.1038/s41534-024-00839-4