A new model of stochastic entanglement dynamics uncovers the impact of quantum jumps and non-Hermitian evolutions in measurement-induced phase transitions.
Category: quantum physics – Page 305
Did Einstein Crack the Biggest Problem in Physics…and Not Know It?
Join Brian Greene and a team of researchers testing Google’s quantum computer to glean new insights about quantum gravity from their impressive–if controversial–results.
Participants:
Maria Spiropúlu.
Joseph Lykken.
Daniel Jafferis.
Moderator:
Brian Greene.
00:00 — Introduction.
01:36 — Participant Introductions.
03:24 — The Einstein Papers.
10:40 — Can Quantum Entanglement Be Used to Transfer Information?
14:30 — The Second Einstein Paper: The Quantum Properties Of Blackholes.
16:28 — Wormholes and Quantum Science, ER = EPR
22:30 — A Wormhole in a Quantum Computer?
29:25 — Quantum Computer Experimentation.
36:27 — Contextualizing Quantum Computation and its Future.
42:09 — Credits.
WSF Landing Page: https://www.worldsciencefestival.com/.…
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Superconducting Nanowires Enable Cooler Photon-Counting Electronics
Single-photon detectors built from superconducting nanowires have become a vital tool for quantum information processing, while their superior speed and sensitivity have made them an appealing option for low-light imaging applications such as space exploration and biophotonics. However, it has proved difficult to build high-resolution cameras from these devices because the cryogenically cooled detectors must be connected to readout electronics operating at room temperature. Now a research team led by Karl Berggren at the Massachusetts Institute of Technology has demonstrated a superconducting electronics platform that can process the single-photon signals at ultracold temperatures, providing a scalable pathway for building megapixel imaging arrays [1].
The key problem with designing high-resolution cameras based on these superconducting detectors is that each of the sensors requires a dedicated readout wire to record the single-photon signals, which adds complexity and heat load to the cryogenic system. Researchers have explored various multiplexing techniques to reduce the number of connections to individual detectors, yielding imaging arrays in the kilopixel range, but further scaling will likely require a signal-processing solution that can operate at ultralow temperatures.
Berggren and his collaborators believe that the answer lies in devices called nanocryotrons (nTrons), which are three-terminal structures made from superconducting nanowires, just like the single-photon detectors are. Although nTrons do not deliver the same speed and power of superconducting electronics based on Josephson junctions, the researchers argue that these shortcomings are not a critical problem in photon-sensing applications, where the detectors are similarly limited in speed and power. The nTrons also offer several advantages over Josephson junctions: they operate over a wider range of cryogenic temperatures, they don’t require magnetic shielding, and they exploit the same fabrication process as that used for the detectors, allowing for easy on-chip integration.
New 2D quantum sensor detects temperature anomalies and magnetic fields
Researchers at TMOS, the ARC Center of Excellence for Transformative Meta-Optical Systems, and their collaborators at RMIT University have developed a new 2D quantum sensing chip using hexagonal boron nitride (hBN) that can simultaneously detect temperature anomalies and magnetic field in any direction in a new, groundbreaking thin-film format.
The link between fuzzy images and quantum fields
Mathematical solutions to thorny quantum problems can be found more quickly by exploiting the correspondence between the statistical methods used in deep learning and techniques for implementing quantum simulations, a team led by a RIKEN researcher has shown in a new study published in the Journal of High Energy Physics.
New 2D quantum sensing chip detects temperature and magnetic fields
Researchers at TMOS, the ARC Centre of Excellence for Transformative Meta-Optical Systems, and their collaborators at RMIT University have developed a new 2D quantum sensing chip using hexagonal boron nitride (hBN) that can simultaneously detect temperature anomalies and magnetic field in any direction in a new, groundbreaking thin-film format.
In a paper released in Nature Communications (“Multi-species optically addressable spin defects in a van der Waals material”), they detail a sensor that is significantly thinner than current quantum technology for magnetometry, paving the way for cheaper, more versatile quantum sensors.
Experimental set-up of hBN quantum sennsor. (Image: RMIT University)
Sean Carroll is a theoretical physicist and cosmologist specializing in dark energy, general relativity, and quantum mechanics
Sean is a research professor at John Hopkins and a prolific author known for his books \.
After AI, quantum computing eyes its ‘Sputnik’ moment
“Quantum computing is not going to be just slightly better than the previous computer, it’s going to be a huge step forward,” he said.
His company produces the world’s first dedicated quantum decoder chip, which detects and corrects the errors currently holding the technology back.
Building devices “that live up to the technology’s incredible promise requires a massive step change in scale and reliability, and that requires reliable error correction schemes”, explained John Martinis, former quantum computing lead at Google Quantum AI.
Quantum Computing’s Holy Grail: Realizing Topologically Protected Qubits
A team of physicists has successfully created superconducting properties in materials known for conducting electricity only at their edges, marking a potential leap forward in quantum computing technology.
This achievement, which has eluded researchers for over a decade, was made possible through meticulous control of the experimental conditions.
Quantum Breakthroughs