Apart from these two found, there is one other Q1 computer in the world.
Two of the world’s first desktop computers have been found during a London house clearance. The Q1, launched in 1972, paved the way for computing as we know it today.
Last year, a Quantinuum-led team of scientists announced that they were able to realize and control a state of matter known as non-Abelian topological order within a quantum processor. The team published their results in the pre-print server ArXiv, outlining how they accomplished what many experts considered a far-off advance — if possible at all – and what the scientists hoped could be an advance toward revolutionizing the way we approach quantum computing.
That advance has now been officially peer reviewed in Nature, marking another important step in the scientific process – and maybe even a significant step in the quest for fault-tolerant quantum computers, a quantum device that could handle operations with unprecedented accuracy and efficiency.
“Our key finding is that non-Abelian topological orders can experimentally be prepared with high fidelities on par with Abelian states like the surface code,” the team writes. “Non-Abelian states are among the most intricately entangled quantum states theoretically known to exist, and carry promise for new types of quantum information processing. Their realization evidences the rapid development of quantum devices and opens several new questions.”
In this study, a novel rapid diagnostic method was developed for optimizing the production of transplutonium isotope through high flux reactor irradiation. The proposed method was based on the concept of “Single Energy Interval Value (SEIV)” and “Energy Spectrum Total Value (ESTV)”, which significantly improved the production efficiency of isotopes such as 252Cf (by 15.08 times), 244Cm (by 65.20 times), 242Cm (by 11.98 times), and 238Pu (by 7.41 times). As a promising alternative to the traditional Monte Carlo burnup calculation method, this method offers a more efficient approach to evaluate radiation schemes and optimize the design parameters. The research discovery provides a theoretical basis for further refining the analysis of transplutonium isotope production, leading to more efficient and sustainable production methods. Future studies could focus on the implementation of energy spectrum conversion technology to further improve the optimal energy spectrum.
The production of transplutonium isotope, which are essential in numerous fields such as military and space technology, remains inefficient despite being produced through irradiation in a high flux reactor. Past studies on the optimization of transplutonium isotope production through irradiation in a high flux reactor have been limited by the computational complexity of traditional methods such as Monte Carlo burnup calculation. These limitations have hindered the refinement of the evaluation, screening, and optimization of the irradiation schemes. Hence, this research aimed to develop a rapid diagnostic method for evaluating radiation schemes that can improve the production efficiency of isotopes such as 252Cf, 244Cm, 242Cm, and 238Pu. The outcome of the study showed great potential in advancing the production of transplutonium isotope, which have numerous applications in fields such as military, energy, and space technology.
Sarcasm, a complex linguistic phenomenon often found in online communication, often serves as a means to express deep-seated opinions or emotions in a particular manner that can be in some sense witty, passive-aggressive, or more often than not demeaning or ridiculing to the person being addressed. Recognizing sarcasm in the written word is crucial for understanding the true intent behind a given statement, particularly when we are considering social media or online customer reviews.
While spotting that someone is being sarcastic in the offline world is usually fairly easy given facial expression, body language and other indicators, it is harder to decipher sarcasm in online text. New work published in the International Journal of Wireless and Mobile Computing hopes to meet this challenge. Geeta Abakash Sahu and Manoj Hudnurkar of the Symbiosis International University in Pune, India, have developed an advanced sarcasm detection model aimed at accurately identifying sarcastic remarks in digital conversations, a task crucial for understanding the true intent behind online statements.
The team’s model comprises four main phases. It begins with text pre-processing, which involves filtering out common, or “noise,” words such as “the,” “it,” and “and.” It then breaks down the text into smaller units. To address the challenge of dealing with a large number of features, the team used optimal feature selection techniques to ensure the model’s efficiency by prioritizing only the most relevant features. Features indicative of sarcasm, such as information gain, chi-square, mutual information, and symmetrical uncertainty, are then extracted from this pre-processed data by the algorithm.
And it’s also about seven times the price of the Quest 3, Meta’s current answer to the Vision Pro. It’s not as flashy as the Vision Pro, but right now you can do a lot more with it. Meta CEO Mark Zuckerberg was eager to point that out in his impromptu review of Apple’s headset. Meta’s strategy is focusing on what you can do now, and doing that gives people a reason to stick around. If they stick around, they’ve inherently bought into your idea of the future.
It’s too early to say how Apple’s tried-and-true approach will pan out. But a common complaint I’ve seen from Vision Pro buyers is they don’t know what to do with it besides watch movies. It’s also too early to say whether Meta glasses users will stick around long term. (They certainly didn’t for the Ray-Ban Stories.) But we do know one thing: at the end of his Vision Pro review, Zuckerberg said the Ray-Ban Meta Smart Glasses sales have far exceeded his hopes.
Add a dash of creamer to your morning coffee, and clouds of white liquid will swirl around your cup. But give it a few seconds, and those swirls will disappear, leaving you with an ordinary mug of brown liquid.
Something similar happens in quantum computer chips—devices that tap into the strange properties of the universe at its smallest scales—where information can quickly jumble up, limiting the memory capabilities of these tools.
That doesn’t have to be the case, said Rahul Nandkishore, associate professor of physics at the University of Colorado Boulder.
Infleqtion is unique amongst quantum companies due its participation in so many different segments of the quantum computing industry including quantum components, quantum computers, quantum software, and quantum sensors. This strategy of a broad product portfolio provides both advantages and disadvantages for a company. The potential advantages include achieving synergy between different product areas with the neutral atom, atomic prism, photonic, software, and other technologies they have developed over the years. It also brings some diversity in the revenue streams because some products will provide early revenue while others might take a few years of development before they can make a revenue contribution. The potential disadvantages could include execution risks if the engineering resources are spread too thin. Also, there may be different sets of customers and sales channels for the different product lines which can increase the complexities of managing a sales force, calling on customers, and generating new business.
Nonetheless, Infleqtion has made some interesting announcements in the past few months. In 2023 alone, the Quantum Computing Report by GQI ran 17 different stories that included Infleqtion. This week they hosted a webinar to discuss their product roadmaps for sensors, software, and computing. The highlight of the webinar was the announcement of their quantum computing roadmap. In this article, we will cover their plans for quantum computing, but first we will start with the progress they talked about in quantum sensors and quantum software and then discuss quantum computing afterwards.
Infleqtion’s discussion of sensor products included ones named Tiqker, Sqywire, and eXaqt. Tiqker is a small form factor ultra-accurate clock intended for use in navigation, data centers, and communication networks. The company asserts that this clock is 100X more accurate than cesium beam atomic clocks and 100,000X more accurate than a crystal oscillator. In navigation applications it can be used in GPS-denied environments and in communication networks it can help increase bandwidth and reduce latencies due to the more precise clocking of the data signals. The company mentioned that they are partnering with a large company for use of Tiqker in data center applications and that Tiqker is now available for pre-order. Sqywire is an ultra-sensitive radio frequency (RF) receiver that senses RF signals with Rydberg state atom-based sensing. It can be used installed of a classical antenna and provides high sensitivity, lower power, and ultra-wide bandwidth in a form factor.
Researchers have demonstrated that magnetic spin waves called magnons can be controlled by voltage and thus could operate more efficiently as information carriers in future devices.
Magnonic devices are being developed to transmit signals, not with electrons, but with magnons—traveling waves in the magnetic ordering of a material. New work provides one of the missing elements of the magnonics toolbox: a voltage-controlled magnon transistor [1]. The device is made up of a magnetic insulator sandwiched between two metal plates. The researchers show that they can control the flow of magnons in the insulator through voltages applied to the plates. The results could lead to more-efficient magnonic devices.
A magnon can be imagined as a row of fixed magnetic elements, or “spins,” that tilt and rotate their orientations in a coordinated pattern. This “spin wave” can carry information through a material without involving the movement of charges, which can cause undesirable heating in a circuit. Magnonics—though still in its infancy—is a potentially energy-efficient alternative to traditional electronics, says Xiu-Feng Han from the Chinese Academy of Sciences. The challenge right now for the magnonics field, he says, is developing practical versions of the four basic components of a magnonic circuit: a generator, a detector, a switch, and a transistor.
