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An on-chip time-lens generates ultrafast pulses

Femtosecond pulsed lasers—which emit light in ultrafast bursts lasting a millionth of a billionth of a second—are powerful tools used in a range of applications from medicine and manufacturing, to sensing and precision measurements of space and time. Today, these lasers are typically expensive table-top systems, which limits their use in applications that have size and power consumption restrictions.

An on-chip femtosecond pulse source would unlock new applications in quantum and optical computing, astronomy, optical communications and beyond. However, it’s been a challenge to integrate tunable and highly efficient pulsed lasers onto chips.

Now, researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a high-performance, on-chip femtosecond pulse source using a tool that seems straight out of science fiction: a time lens.

Apple plans to source chips from Arizona plant by 2024

It’s diversifying from its initial reliance on Taiwan-made chips.

Apple is diversifying its supply chain away from Taiwan as it has plans to buy some of its chips from a factory in Arizona, company CEO Tim Cook said last month at an internal meeting in Germany, according to a report by Bloomberg News.


Manufacturing A-series and M-series processors

All of the firm’s current processors are sourced from factories in Taiwan. Although Apple currently designs its own chips, the Taiwan Semiconductor Manufacturing Company (TSMC) is responsible for manufacturing the A-series and M-series processors that power the ever popular iPhones and Mac computers.

Researchers develop a material that mimics how the brain stores information

Universitat Autònoma de Barcelona (UAB) researchers have developed a magnetic material capable of imitating the way the brain stores information. The material makes it possible to emulate the synapses of neurons and mimic, for the first time, the learning that occurs during deep sleep.

Neuromorphic computing is a new computing paradigm in which the behavior of the brain is emulated by mimicking the main synaptic functions of neurons. Among these functions is neuronal plasticity: the ability to store information or forget it depending on the duration and repetition of the electrical impulses that stimulate neurons, a plasticity that would be linked to learning and memory.

Among the materials that mimic neuron synapses, memresistive materials, ferroelectrics, phase change memory materials, and, more recently, magneto-ionic materials stand out. In the latter, changes in the are induced by the displacement of ions within the material caused by the application of an electric field.

The unimon, a new qubit to boost quantum computers for useful applications

A group of scientists from Aalto University, IQM Quantum Computers, and VTT Technical Research Center have discovered a new superconducting qubit, the unimon, to increase the accuracy of quantum computations. The team has achieved the first quantum logic gates with unimons at 99.9% fidelity—a major milestone on the quest to build commercially useful quantum computers. This research was just published in the journal Nature Communications.

Of all the different approaches to build useful quantum computers, are in the lead. However, the designs and techniques currently used do not yet provide high enough performance for practical applications. In this noisy intermediate-scale quantum (NISQ) era, the complexity of the implementable quantum computations is mostly limited by errors in single-and two-qubit quantum gates. The quantum computations need to become more accurate to be useful.

“Our aim is to build quantum computers which deliver an advantage in solving real-world problems. Our announcement today is an important milestone for IQM, and a significant achievement to build better superconducting quantum computers,” said Professor Mikko Möttönen, joint Professor of Quantum Technology at Aalto University and VTT, and also a Co-Founder and Chief Scientist at IQM Quantum Computers, who was leading the research.

Boltzmann Brains — Why The Universe is Most Likely a Simulation

Start learning today with Brilliant! https://brilliant.org/upandatom.

Watch Part 2 over on Isaac Arthur’s channel.

https://www.youtube.com/channel/UCZFipeZtQM5CKUjx6grh54g.

If you’d like to know more about Boltzmann Brains, here are some informative papers:
https://arxiv.org/abs/hep-th/0208013
https://arxiv.org/abs/0704.2630
https://arxiv.org/abs/hep-th/0611271
https://arxiv.org/abs/hep-th/0611043
https://arxiv.org/abs/1708.00449
https://arxiv.org/abs/1702.

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Computer scientists succeed in solving algorithmic riddle from the 1950s

For more than half a century, researchers around the world have been struggling with an algorithmic problem known as “the single source shortest path problem.” The problem is essentially about how to devise a mathematical recipe that best finds the shortest route between a node and all other nodes in a network, where there may be connections with negative weights.

Sound complicated? Possibly. But in fact, this type of calculation is already used in a wide range of the apps and technologies that we depend upon for finding our ways around—as Google Maps guides us across landscapes and through cities, for example.

Now, researchers from the University of Copenhagen’s Department of Computer Science have succeeded in solving the single source shortest problem, a riddle that has stumped researchers and experts for decades.

High current gain transistor laser

Circa 2016 face_with_colon_three


A transistor laser (TL)1,2,3, having the structure of a transistor with multi-quantum wells (MQWs) near its base region, bridges the functionality gap between lasers and transistors. From a TL, an electrical signal can be outputted simultaneously with a light signal by inputting one electrical signal, making it suitable for future high performance optoelectronic integrated device applications4. As a new kind of semiconductor laser or transistor, TLs have aroused many interests since its invention. For example, in 2006, the paper2 reporting the first room temperature operation of TLs was voted as one of the five most important papers published by Applied Physics Letters in over 40 years5. Because of the transistor structure, many interesting characters have been demonstrated, including resonance free frequency response, large direct modulation band width6, voltage controlled mode of operation7, low relative intensity noise (RIN) close to the shot-noise limit8 and low 3rd order intermodulation distortion (IMD)9.

However, light emission for all the TLs reported up to now is produced at the expense of current gain. Taking npn TLs as an example, in the devices, electrons injected from the emitter into the base layer first recombine with holes radiatively before the left being collected by the collector4. The majority of the electrons are consumed by stimulated light emissions, leading to a current gain which is a lot lower than the gain of a traditional transistor. The common emitter (CE) mode current gain (collector current/base current) is lower than 5 for most, if not all, of the TLs studied, either experimentally1,2,3,6,7,8,9,10 or numerically11,12,13. The low current gain may limit the performance of systems that use TLs. For example, it is much easier to integrate monolithically a heterojunction bipolar transistor (HBT) and a TL than to integrate an HBT with a laser diode (LD) because of the dual functionality of TLs. For such applications, a large current gain of TL (used as HBT) is desired for the amplification of electrical signal to drive the laser.

In this work, we propose a novel TL structure which has an n-doped InP layer inserted in the emitter ridge, forming a flow aperture in the center of the emitter ridge for only holes. Here after, the TLs having the hole current aperture is designated as a-TLs. The properties of the a-TLs are systematically studied numerically. It is shown that while the light emission power of a-TLs is comparable with that of TLs without the aperture at the same base current, the CE current gain of a-TLs can be over 15 times larger.

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