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Category: computing – Page 436

MOS Technology 6502

To show how computer chips are improving a bit, my first computer, an Apple II+ based on the 6,502 chip, had 7 bytes of memory on the chip. Nvidia’s H100 chip has 85,986,377,728 bytes of memory on it!

The 6,502 was a very successful chip and is still made today, with over 6 billion units sold!

(My home PC has about 283,506,646,208 bytes of memory but that is contained in multiple chips.)

(typically pronounced “sixty-five-oh-two” or “six-five-oh-two”)[3] is an 8-bit microprocessor that was designed by a small team led by Chuck Peddle for MOS Technology. The design team had formerly worked at Motorola on the Motorola 6800 project; the 6,502 is essentially a simplified, less expensive and faster version of that design.

When it was introduced in 1975, the 6,502 was the least expensive microprocessor on the market by a considerable margin. It initially sold for less than one-sixth the cost of competing designs from larger companies, such as the 6,800 or Intel 8080. Its introduction caused rapid decreases in pricing across the entire processor market. Along with the Zilog Z80, it sparked a series of projects that resulted in the home computer revolution of the early 1980s.

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Researchers build a working camera out of atomically thin semiconductors

Since the isolation of graphene, we’ve identified a number of materials that form atomically thin sheets. Like graphene, some of these sheets are made of a single element; others form from chemicals where the atomic bonds naturally create a sheet-like structure. Many of these materials have distinct properties. While graphene is an excellent conductor of electricity, a number of others are semiconductors. And it’s possible to tune their properties further based on how you arrange the layers of a multi-sheet stack.

Given all those options, it shouldn’t surprise anyone that researchers have figured out how to make electronics out of these materials, including flash memory and the smallest transistors ever made, by some measures. Most of these, however, are demonstrations of the ability to make the hardware—they’re not integrated into a useful device. But a team of researchers has now demonstrated that it’s possible to go beyond simple demonstrations by building a 900-pixel imaging sensor using an atomically thin material.

Print a working paper computer on an $80 inkjet

Circa 2013 face_with_colon_three

“IMAGINE printing out a paper computer and tearing off a corner so someone else can use part of it.” So says Steve Hodges of Microsoft Research in Cambridge, UK. The idea sounds fantastical, but it could become an everyday event thanks in part to a technique he helped develop.

Hodges, along with Yoshihiro Kawahara and his team at the University of Tokyo, Japan, have found a way to print the fine, silvery lines of electronic circuit boards onto paper. What’s more, they can do it using ordinary inkjet printers, loaded with ink containing silver nanoparticles. Last month Kawahara demonstrated a paper-based moisture sensor at the Ubicomp conference in Zurich, Switzerland.

Kawahara says the idea is perfect for the growing maker movement of inventors and tinkerers. Hobbyists will be able to test circuit designs by simply printing them out and throwing away anything that doesn’t work. That will reduce much of electronics to a craft akin to “sewing or origami”, he says.

Amazon Braket launches Aquila, the first neutral-atom quantum processor from QuEra Computing

Quantum researchers require access to different types of quantum hardware from digital, also known as gate-based, quantum processing units (QPUs) to analog devices that are capable of addressing specific problems that are hard to solve using classical computers. Today, Amazon Braket, the quantum computing service from AWS, continues to deliver on its commitment to provide that choice by launching Aquila, pictured in Figure 1 below, a new neutral-atom QPU from QuEra Computing with up to 256 qubits. As a special purpose device designed for solving optimization problems and simulating quantum phenomena in nature, it enables researchers to explore a new analog paradigm of quantum computing.

Quantum Researchers Discover the AND Gate

“We do not use any ancilla qubits,” Yan says. “Instead, we use ancilla states.”

In the new study, the scientists implemented quantum AND gates on a superconducting quantum processor with tunable-coupling architecture. Google also employs this architecture with its quantum computers, and IBM plans to start using it in 2023.

“We think that our scheme is well-suited for superconducting qubit systems where ancilla states are abundant and easy to access,” Yan says.

DNA Data Storage: The Next Chapter

DNA — nicknamed “nature’s storage medium” — has accurately stored the instruction sets for all life on Earth for billions of years. But it also may hold the keys to managing explosive data growth and storing archival data for generations to come.

The idea of storing digital data in DNA dates back more than a half century, but making it a reality has accelerated in recent years with advances in biotechnology and declining costs of genome sequencing.

Dave Landsman is the senior director of industry standards and a distinguished engineer at Western Digital. For the past two years, he’s been one of the principals in the company’s exploration of DNA data storage.

Quantum computing has its limits

Error-prone qubits mean quantum systems do not yet surpass classical methods.

In a talk at the Massachusetts Institute of Technology in 1981, Richard Feynman spoke about ‘simulating physics with computers’. This was already being done at the time, but Feynman said he wanted to talk ‘about the possibility that there is to be an exact simulation, that the computer will do exactly the same as nature.’ But as nature is quantum-mechanical, he pointed out, what you need for that is a quantum computer.

The rest is history – but history still in the making. When I recently asked David Deutsch, the visionary physicist who in 1985 laid out what quantum computing might look like, whether he was surprised at how quickly the idea became a practical technology, he replied with characteristic terseness: ‘It hasn’t.’ You can see his point. Sure, in October President Joe Biden visited IBM’s new quantum data centre in Poughkeepsie, New York, to see an entire room filled with the company’s quantum computers. And on 9 November IBM announced its 433-quantum-bit (qubit) Osprey processor, although it seems only yesterday that we were getting excited at Google’s 53-qubit Sycamore chip – with which the Google team claimed in 2016 to demonstrate ‘quantum supremacy’, meaning that it could perform a calculation in a few days that would take the best classical computer many millennia.1 This claim has since been disputed.

Researchers discover how music could be used to trigger a deadly pathogen release

Researchers at the University of California, Irvine have discovered that the safe operation of a negative pressure room—a space in a hospital or biological research laboratory designed to protect outside areas from exposure to deadly pathogens—can be disrupted by an attacker armed with little more than a smartphone.

According to UCI cyber-physical systems security experts, who shared their findings with attendees at the Association for Computing Machinery’s recent Conference on Computer and Communications Security in Los Angeles, mechanisms that control airflow in and out of biocontainment facilities can be tricked into functioning irregularly by a sound of a particular frequency, possibly tucked surreptitiously into a popular song.

“Someone could play a piece of music loaded on their smartphone or get it to transmit from a television or other audio device in or near a negative room,” said senior co-author Mohammad Al Faruque, UCI professor of electrical engineering and computer science. “If that music is embedded with a tone that matches the of the pressure controls of one of these spaces, it could cause a malfunction and a leak of deadly microbes.”

Simulations Using a Quantum Computer Show the Technology’s Current Limits

Quantum circuits still can’t outperform classical ones when simulating molecules.

Quantum computers promise to directly simulate systems governed by quantum principles, such as molecules or materials, since the quantum bits themselves are quantum objects. Recent experiments have demonstrated the power of these devices when performing carefully chosen tasks. But a new study shows that for problems of real-world interest, such as calculating the energy states of a cluster of atoms, quantum simulations are no more accurate than those of classical computers [1]. The results offer a benchmark for judging how close quantum computers are to becoming useful tools for chemists and materials scientists.

Richard Feynman proposed the idea of quantum computers in 1982, suggesting they might be used to calculate the properties of quantum matter. Today, quantum processors are available with several hundred quantum bits (qubits), and some can, in principle, represent quantum states that are impossible to encode in any classical device. The 53-qubit Sycamore processor developed by Google has demonstrated the potential to perform calculations in a few days that would take many millennia on current classical computers [2]. But this “quantum advantage” is achieved only for selected computational tasks that play to these devices’ strengths. How well do such quantum computers fare for the sorts of everyday challenges that researchers studying molecules and materials actually wish to solve?

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