Toggle light / dark theme

By confining the transport of electrons and ions, scientists show they can alter material properties

Like ripples in a pond, electrons travel like waves through materials, and when they collide and interact, they can give rise to new and interesting patterns.

Scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have seen a new kind of wave pattern emerge in a thin film of metal oxide known as titania when its shape is confined. Confinement, the act of restricting materials within a boundary, can alter the properties of a material and the movement of molecules through it.

In the case of titania, it caused electrons to interfere with each other in a unique pattern, which increased the oxide’s conductivity, or the degree to which it conducts electricity. This all happened at the mesoscale, a scale where scientists can see both quantum effects and the movement of electrons and molecules.

Researchers develop new tool for analyzing large superconducting circuits

The next generation of computing and information processing lies in the intriguing world of quantum mechanics. Quantum computers are expected to be capable of solving large, extremely complex problems that are beyond the capacity of today’s most powerful supercomputers.

New research tools are needed to advance the field and fully develop quantum computers. Now Northwestern University researchers have developed and tested a for analyzing large superconducting . These circuits use superconducting quantum bits, or qubits, the smallest units of a quantum computer, to store information.

Circuit size is important since protection from detrimental noise tends to come at the cost of increased circuit complexity. Currently there are few tools that tackle the modeling of large circuits, making the Northwestern method an important contribution to the research community.

Quantum mechanics for plants

Circa 2004


To what extent do photosynthetic organisms use quantum mechanics to optimize the capture and distribution of light? Answers are emerging from the examination of energy transfer at the submolecular scale.

The first law of photosynthetic economics is: “A photon saved is a photon earned.” Research into the factors behind this principle has been burgeoning, and has recently culminated in a paper in Physical Review Letters by Jang et al.1 in which the authors look at photosynthetic energy transfer at the quantum level.

Atomically-Thin, Twisted Graphene Has Unique Properties That Could Advance Quantum Computing

Researchers describe how electrons move through two-dimensional layered graphene 0 findings that could lead to advances in the design of future quantum computing platforms.

New research published in Physical Review Letters describes how electrons move through two different configurations of bilayer graphene, the atomically-thin form of carbon. This study, the result of a collaboration between Brookhaven National Laboratory, the University of Pennsylvania, the University of New Hampshire, Stony Brook University, and Columbia University 0 provides insights that researchers could use to design more powerful and secure quantum computing platforms in the future.

“Today’s computer chips are based on our knowledge of how electrons move in semiconductors, specifically silicon,” says first and co-corresponding author Zhongwei Dai, a postdoc at Brookhaven. “But the physical properties of silicon are reaching a physical limit in terms of how small transistors can be made and how many can fit on a chip. If we can understand how electrons move at the small scale of a few nanometers in the reduced dimensions of 2-D materials, we may be able to unlock another way to utilize electrons for quantum information science.”

Cumrun Vafa: String Theory | Lex Fridman Podcast #204

Cumrun Vafa is a theoretical physicist at Harvard. Please support this podcast by checking out our sponsors:
- Headspace: https://headspace.com/lex to get free 1 month trial.
- The Jordan Harbinger Show: https://www.youtube.com/thejordanharbingershow.
- Squarespace: https://lexfridman.com/squarespace and use code LEX to get 10% off.
- Allform: https://allform.com/lex to get 20% off.

CORRECTIONS:
- I’m currently hiring folks to help me with editing and image overlays so there may be some errors in overlays (as in this episode) as we build up a team. I ask for your patience.
- At 1 hour 27 minute mark, we overlay an image of Brian Greene. We meant to overlay an image of Michael Green, an early pioneer of string theory: https://bit.ly/michael-green-physicist.
- The image overlay of the heliocentric model is incorrect.

EPISODE LINKS:
Cumrun’s Twitter: https://twitter.com/cumrunv.
Cumrun’s Website: https://www.cumrunvafa.org.
Puzzles to Unravel the Universe (book): https://amzn.to/3BFk5ms.

PODCAST INFO:
Podcast website: https://lexfridman.com/podcast.
Apple Podcasts: https://apple.co/2lwqZIr.
Spotify: https://spoti.fi/2nEwCF8
RSS: https://lexfridman.com/feed/podcast/
Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4
Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41

OUTLINE:
0:00 — Introduction.
1:51 — Difference between math and physics.
4:34 — Evolution of quantum mechanics.
7:52 — Can mathematics lead humanity off track.
8:51 — Beauty in mathematics.
14:10 — Philosophers using symmetry.
20:04 — How can ancient geometry be used to understand reality.
23:16 — Key ideas in the history of physics.
26:09 — Einstein’s special relativity.
29:46 — Physicists building intuition.
37:44 — Best work by Einstein.
39:28 — Quantum mechanics.
49:30 — Quantum gravity.
51:45 — String theory.
1:07:54 — 10th Dimension.
1:14:32 — Skepticism regarding string theory.
1:25:37 — Key figures in string theory.
1:29:56 — String Theory’s Nobel Prize.
1:33:01 — Edward Witten.
1:41:39 — String Theory Landscape & Swamplands.
1:50:29 — Theories of everything.
2:04:55 — Advice for young people.
2:07:57 — Death.

SOCIAL:

‘Excitons’ Show Potential for Low-Power Quantum Computing

Circa 2019


LONDON — A laboratory in Switzerland has found a way of using a laser to change and regulate the polarization, wavelength and intensity of light in “excitons” in 2D materials, creating the potential for a new generation of transistors with less energy loss and heat dissipation, opening up the potential for low-power quantum computing.

Excitons are created when an electron absorbs light and moves into a higher energy level, or “energy band” as it is called in solid quantum physics. This excited electron leaves behind an “electron hole” in its previous energy band. And because the electron has a negative charge and the hole a positive charge, the two are bound together by an electrostatic force called a Coulomb force. It’s this electron-electron hole pair that is referred to as an exciton.

Scientists from EPFL’s Laboratory of Nanoscale Electronics and Structures (LANES) had already developed a method to control exciton flows at room temperature last year. In the latest development, they have discovered new properties of these quasiparticles that can lead to more energy-efficient electronic devices and have found a way to control some of the properties and change the polarization of the light they generate. The scientists’ discovery forms part of a relatively new field of research called valleytronics and has just been published in Nature Photonics.

Solving Quantum Ground-State Problems with Nuclear Magnetic Resonance

Circa 2012


Quantum ground-state problems are computationally hard problems for general many-body Hamiltonians; there is no classical or quantum algorithm known to be able to solve them efficiently. Nevertheless, if a trial wavefunction approximating the ground state is available, as often happens for many problems in physics and chemistry, a quantum computer could employ this trial wavefunction to project the ground state by means of the phase estimation algorithm (PEA). We performed an experimental realization of this idea by implementing a variational-wavefunction approach to solve the ground-state problem of the Heisenberg spin model with an NMR quantum simulator. Our iterative phase estimation procedure yields a high accuracy for the eigenenergies (to the 10–5 decimal digit).

Artificial brain networks simulated with new quantum materials

Isaac Newton’s groundbreaking scientific productivity while isolated from the spread of bubonic plague is legendary. University of California San Diego physicists can now claim a stake in the annals of pandemic-driven science.

A team of UC San Diego researchers and colleagues at Purdue University have now simulated the foundation of new types of artificial intelligence computing devices that mimic brain functions, an achievement that resulted from the COVID-19 pandemic lockdown. By combining new supercomputing materials with specialized oxides, the researchers successfully demonstrated the backbone of networks of circuits and devices that mirror the connectivity of neurons and synapses in biologically based neural networks.

The simulations are described in the Proceedings of the National Academy of Sciences (PNAS).