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Quantum Machines Discusses Direct Digital Synthesis for Large-Scale Quantum Computing

In developing the OPX1000, a controller fit for the ever-growing quantum processors counting 1,000 qubits and beyond, we had to think deeply about every detail that impairs scalability. Our recently unveiled OPX1000 module for microwave generation (MW-FEM) generates pulses up to 10.5 GHz directly, without analog oscillators or mixers. The choice of technology to reach microwave frequencies is not trivial. We choose cutting-edge direct digital synthesis (DDS) for very specific reasons, and we believe it will enable scalability and performance to an even greater degree. In this blog, we dive deeper into the considerations for going this route and existing alternatives. So stick around, whether you like mixers or hate them, this will be an interesting ride.

Summary of Technologies for Microwave Operation
The control signals for qubit drive and readout often fall in the microwave range, which is outside the range of baseband controllers. Many qubit labs have solved the issue with solutions based on mixing, including single sideband mixers, IQ-mixers, or more complicated schemes such as double super-heterodyne (DSH) conversion. Mixer-based solutions make use of analog local oscillators (LOs) that are multiplied by the signal of a controller or an AWG. IQ-mixers naturally suffer from two main spurs (affectionate name for unwanted signals), the LO leakage and the mixer image, which require non-trivial calibration to be removed. Other schemes, such as double super-heterodyne, offer a zero-calibration solution but use many more components. Additionally, mixing schemes require having an LO source per mixer if different drive frequencies are used. Having a low phase source per mixer is very expensive, and in order to cut prices, will probably include a phase-lock loops (PLL), leading to phase differences between channels, which is detrimental for multi-qubit systems. In other words, while mixers can be useful, we need to be aware of the pros and cons involved.

Cisco & NVIDIA Announce Easy to Deploy & Manage Secure AI Solutions for Enterprise

This week, Cisco and NVIDIA have announced plans to deliver AI infrastructure solutions for the data center that are easy to deploy and manage, enabling the massive computing power that enterprises need to succeed in the AI era. "AI is fundamentally changing how we work and live, and history has shown that a shift of this magnitude is going to require enterprises to rethink and re-architect their infrastructures," said Chuck Robbins, Chair and CEO, Cisco. "Strengthening our great partnership with NVIDIA is going to arm enterprises with the technology and the expertise they need to build, deploy, manage, and secure AI solutions at scale." Jensen Huang, founder and CEO of NVIDIA said: "Companies everywhere are racing to transform their businesses with generative AI. Working closely with Cisco, we're making it easier than ever for enterprises to obtain the infrastructure they need to benefit from AI, the most powerful technology force of our lifetime."

A Powerful Partnership
Cisco, with its industry-leading expertise in Ethernet networking and extensive partner ecosystem, together with NVIDIA, the inventor of the GPU that fueled the AI boom, share a vision and commitment to help customers navigate the transitions for AI with highly secure Ethernet-based infrastructure. Cisco and NVIDIA have offered a broad range of integrated product solutions over the past several years across Webex collaboration devices and data center compute environments to enable hybrid workforces with flexible workspaces, AI-powered meetings and virtual desktop infrastructure.

Chinese Research Team Uses AI to Design a Processor in 5 Hours

A group of researchers in China have used a new approach to AI to create a full RISC-V processor from scratch. The team set out to answer the question of whether an AI could design an entire processor on its own without human intervention. While AI design tools do already exist and are used for complex circuit design and validation today, they are generally limited in use and scope. The key improvements shown in this approach over traditional or AI assisted logic design are the automated capabilities, as well as its speed. The traditional assistive tools for designing circuits still require many hours of manual programming and validation to design a functional circuit. Even for such a simple processor as the one created by the AI, the team claims the design would have taken 1000x as long to be done by humans. The AI was trained by observing specific inputs and outputs of existing CPU designs, with the paper summarizing the approach as such:
(...) a new AI approach, which generates large-scale Boolean function with almost 100% validation accuracy (e.g., > 99.99999999999% as Intel) from only external input-output examples rather than formal programs written by the human. This approach generates the Boolean function represented by a graph structure called Binary Speculation Diagram (BSD), with a theoretical accuracy lower bound by using the Monte Carlo based expansion, and the distance of Boolean functions is used to tackle the intractability.

Microsoft Delves into New Features and Enhancements for Windows 11

Technology is creating amazing opportunities for our industry and the world, and Windows 11 is at the center of innovation with new experiences that transform how we interact with the Windows PC and each other. With Windows 11, we're seeing record engagement, our highest customer satisfaction over any previous version of Windows in the U.S., and accelerated growth in commercial deployments. In fact, we recently shared as part of our latest earnings report that over 90% of Fortune 500 companies are currently trialing or have already deployed Windows 11.

In February, we brought the new AI-powered Bing to the taskbar and other features to improve the way people get things done on their PCs. Today, we are providing a look at new features and enhancements for Windows 11 that will start to become available tomorrow, May 24, that focus on business needs, such as security and IT management, and new benefits that enhance professional and personal usability. For developers building on Windows, this week we are announcing new innovation at Microsoft Build.

Steam Deck Adapted Into Automated Gun Turret System

The Steam Deck is a hit with enthusiasts who require a gaming fix on the move, and Valve has observed its handheld getting revamped heavily by the modification community - but a new adaptation takes the pint-sized PC onto the real battlefield. The GamingOnLinux site yesterday picked up on emerging details from the Ukraine frontline - TDF Media group has shared photos and videos of an automated gun turret system dubbed "Saber" that can be operated remotely. The Steam Deck has somehow become the preferred control method - its on-screen UI, trackpads, analog sticks and button layout factor into the gun turret's operation. A reader has informed me that Valve's hardware is not officially available for sale in the region, so the military must be sourcing units from a grey/dark market source.

Sergey Mohov, lead gameplay designer at Remedy Entertainment, reposted some of TDF Media's photos on his Twitter account earlier this week, and added that "this automatic turret is the best use of Steam Deck I've seen so far." The Territorial Defense Force organization has described the turret (translated) thusly: "Saber is a Ukrainian automated remote-controlled gun turret designed for stationary installation on static objects or moving vehicles. The Saber system's co-ordination is done via a remote control, camera and monitor - which allows combat from up to 500 m from the rig, while preserving the operator's life. This combat platform can be installed in a stationary (capacity) at checkpoints, border and other zones - it is even able to defeat low-flying enemy drones. The platform is flexible enough to accommodate any light anti-infantry or anti-tank weapon weapon - a good example being a Kalashnikov machine gun."
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