Matthew Griffin, described as “The Adviser behind the Advisers” and a “Young Kurzweil,” is the founder and CEO of the World Futures Forum and the 311 Institute, a global Futures and Deep Futures consultancy working between the dates of 2020 to 2070, and is an award winning futurist, and author of “Codex of the Future” series. Regularly featured in the global media, including AP, BBC, Bloomberg, CNBC, Discovery, RT, Viacom, and WIRED, Matthew’s ability to identify, track, and explain the impacts of hundreds of revolutionary emerging technologies on global culture, industry and society, is unparalleled. Recognised for the past six years as one of the world’s foremost futurists, innovation and strategy experts Matthew is an international speaker who helps governments, investors, multi-nationals and regulators around the world envision, build and lead an inclusive, sustainable future. A rare talent Matthew’s recent work includes mentoring Lunar XPrize teams, re-envisioning global education and training with the G20, and helping the world’s largest organisations envision and ideate the future of their products and services, industries, and countries. Matthew's clients include three Prime Ministers and several governments, including the G7, Accenture, Aon, Bain & Co, BCG, Credit Suisse, Dell EMC, Dentons, Deloitte, E&Y, GEMS, Huawei, JPMorgan Chase, KPMG, Lego, McKinsey, PWC, Qualcomm, SAP, Samsung, Sopra Steria, T-Mobile, and many more.
WHY THIS MATTERS IN BRIEF
Quantum computers are billions of times faster than traditional logic computers at performing certain calculations, and this is the biggest quantum computer yet.
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When quantum computers, which are billions times more powerful than today’s most powerful supercomputers, hit 1,000 qubits all the world’s encrypted information, including 2,048 bit encryption, will be able to be cracked and decrypted in minutes and hours. And now, in yet another step towards that 1,000 qubit goal IBM has taken a major leap forward with the release of the world’s first true 127 qubit processor. Just a couple of years after its last major update.
Milestones in quantum computing are getting increasingly difficult to asses as the variety of technologies and the yardsticks used to judge them proliferate. While both IBM and Google build their devices out of superconducting qubits, differences in the way they’re wired up mean you can’t simply compare them qubit to qubit.
Further muddying the waters, trapped-ion computers made by IonQ and Honeywell can implement quantum circuits using far fewer qubits than superconducting systems. IBM has come up with esoteric metrics like quantum volume and CLOPS to help compare notes between different technologies, but so many variables feed into a quantum computer’s performance that picking a winner is tough.
Nonetheless all that said more qubits is definitely a good thing. And with its latest processor IBM has nearly doubled the number it can fit on a single chip, which could allow researchers to run significantly larger and more complex quantum calculations and Quantum Artificial Intelligence (AI) programs.
“We anticipate that, with Eagle, our users will be able to explore uncharted computational territory,” the processor’s developers wrote in a blog announcing the new chip.
To be clear, unlike Google’s latest efforts IBM’s new chip is still not able to provide so called “Quantum Advantage” – the ability to perform tasks no conventional hardware could. But IBM says it’s the first of its processors that is so large it’s impossible to simulate the device’s quantum state on a normal supercomputer like the US Department of Energy’s immensely powerful Summit supercomputer.
And building a chip with this many qubits is a significant technical feat, which IBM says will lay the groundwork for its 433-qubit Osprey processor, due in 2022, and the 1,121-qubit Condor slated for 2023. If all goes according to plan, the company thinks those devices could well start solving previously intractable problems. And, as I mentioned earlier, signal the death knell for traditional encryption systems …
“We believe that we will be able to reach a demonstration of quantum advantage – something that can have practical value – within the next couple of years. That is our quest,” IBM’s director of research, Dario Gil, told Reuters.
The key to squeezing all those qubits into one chip was a 3D chip packaging technique that allows control electronics and qubits to be placed on different levels. And unlike earlier processors, which required a separate set of control and readout electronics for each qubit, the new chip uses readout multiplexing to use the same kit to address multiple qubits.
The chip also uses a hexagonal layout that IBM says reduces the potential for errors by minimizing unwanted interactions between neighboring qubits. But the so-called “heavy-hex” setup does this by sacrificing connectivity between qubits, which makes implementing circuits more complicated.
How the chip actually performs has yet to be revealed but IBM told Fortune it has yet to benchmark the processor’s performance, and couldn’t say how long its qubits could maintain their quantum states or to what extent they could be entangled. This refers to a quantum phenomena where the state of multiple qubits become intertwined, which is an important source of quantum computers’ power.
IBM’s announcement was also upstaged just a day later when startup QuEra came out of stealth and announced it had built a 256-qubit device. The company’s technology relies on “neutral atoms” that are held in place and cooled to just above absolute zero by lasers. The approach is less well-developed than those being pursued by other companies, but comes with a number of benefits.
Unlike superconducting, atoms are all identical, so there’s no chance of manufacturing defects. And unlike trapped ions, they can be packed tightly together to achieve densities similar to the transistors on a late 1990s CPU. They also hold their quantum states for a long time and can become highly entangled.
QuEra’s device is a quantum simulator rather than a computer, though. That means it can be used to model certain physical phenomena, but it isn’t a general-purpose device that can run all kinds of algorithms.
According to the company’s website, it is working on a fully programmable 64-qubit device that is “coming soon.”
Picking which of these announcements is the bigger deal is hard at this stage. But both demonstrate the rapid innovation and growing scale in the quantum hardware space.