A new model of stochastic entanglement dynamics uncovers the impact of quantum jumps and non-Hermitian evolutions in measurement-induced phase transitions.
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.
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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.
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.
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.
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)
When it comes to materials for quantum sensors, diamond is the best game in town, says Cornell University professor Gregory Fuchs. Now he and a team of scientists have upped diamond’s game by generating exquisite imagery of diamond undergoing microscopic vibrations.
“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.
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
