News November 10, 2024
The Incredible Power of Quantum Memory
The original version of this story appeared in Quanta Magazine. It’s not easy to study quantum systems because it’s difficult to measure their exact position and speed at the same time due to Heisenberg’s uncertainty principle. Researchers have to be clever about it by taking a box of electrons, poking at it in various ways, then taking a snapshot of what it looks like at the end. However, there’s a catch: They can’t measure all the system’s properties at the same time so they iterate. They start with their system, poke, then measure. Then they do it again. Every iteration, they measure some new set of properties. Build together enough snapshots, and machine learning algorithms can help reconstruct the full properties of the original system or get really close. This is a tedious process but quantum computers could help. These machines work according to quantum rules and have the potential to be much better than ordinary computers at modeling the workings of quantum systems. They can also store information not in classic binary memory, but in a more complex form called quantum memory. This allows for far richer and more accurate descriptions of particles. It also means that the computer could keep multiple copies of a quantum state in its working memory. A few years ago, a team based at the California Institute of Technology demonstrated that certain algorithms that use quantum memory require exponentially fewer snapshots than algorithms that don’t use it. Their method was a major advance, but it required a relatively large amount of quantum memory. Now, two independent teams have come up with ways of getting by with far less quantum memory. In the first paper, Sitan Chen, a computer scientist at Harvard University, and his coauthors showed that just two copies of the quantum state could exponentially reduce the number of times you need to take a snapshot of your quantum system. Quantum memory is almost always worth the investment.
See in the dark: We’re obsessed with this outdoorsman’s gift recommendation
These binoculars offer excellent night vision capabilities with built-in camera for recording videos. They have a 2.3-inch LED screen and seven adjustable levels of infrared illumination, making them ideal for hunting and bird watching. With 4x digital zoom, you can take photos or record HD videos without looking away from the moment. These binoculars are currently on sale for $104.97, but only 80 are left at this price.
Bundle Microsoft Office with Windows 11 for life for just $53
Microsoft Office 2021 Professional and Windows 11 Pro are available in one lifetime bundle for just $52.97, with no recurring fees. This bundle includes all the essential tools for work, including Word, Excel, PowerPoint, Outlook, Access, Publisher, and more. Additionally, Windows 11 Pro provides a secure and efficient operating system with features like biometrics, TPM 2.0, snap layouts, multiple desktops, and DirectX 12 Ultimate for high-quality graphics performance. This bundle is perfect for professionals, creatives, and entrepreneurs who want to stay productive and secure without the subscription fees.
NYT Strands hints, answers for November 10
Strands is a word-search game with a unique twist. The words can be made from linked letters in any direction, but they can also change direction, resulting in quirky shapes and patterns. Every single letter in the grid will be part of an answer, and there’s always a theme linking every solution. The “spangram,” a special word or phrase that sums up the day’s theme, spans the entire grid horizontally or vertically. To make it more challenging, the game provides an opaque hint and not the word list. However, Mashable has provided all the NYT Strands hints for today’s puzzle if you need to progress at your preferred pace. The theme for today is “Nice fit,” and the spangram answer is “WellSuited.”
The best self-emptying robot vacuums to shop on Black Friday 2024
The article discusses the benefits of using a self-emptying robot vacuum, including its ability to clean more often and store debris in a larger compartment that is located in the charging dock. The author also mentions that automatic emptying provides several advantages, such as saving time and avoiding the need for manual cleanup. Additionally, the article highlights the convenience of being able to set the robot vacuum to automatically empty itself after each use, which can be especially useful for people with allergies or who have busy schedules. The author also mentions that some self-emptying robot vacuums come with features such as self-washing and drying mopping pads, which can make cleaning easier and more efficient. Overall, the article suggests that self-emptying robot vacuums are a worthwhile investment for anyone who wants to save time and money on their floor maintenance.