Archive for the ‘Quantum Computing’ Category

MIT Lincoln Laboratory Creates The First Trapped-Ion Quantum Chip With Integrated Photonics – Forbes

New MIT Lincoln Laboratory's quantum chip with integrated photonics

Most experts agree that quantum computing is still in an experimental era. The current state of quantum technology has been compared to the same stage that classical computing was in during the late 1930s.

Quantum computing uses various computation technologies, such as superconducting, trapped ion, photonics, silicon-based, and others.It will likely be a decade or more before a useful fault-tolerant quantum machine is possible. However, a team of researchers at MIT Lincoln Laboratory has developed a vital step to advance the evolution of trapped-ion quantum computers and quantum sensors.

Most everyone knows that classical computers perform calculations using bits (binary digits) to represent either a one or zero.In quantum computers, a qubit (quantum bit) is the fundamental unit of information. Like classical bits, it can represent a one or zero. Still, a qubit can also be a superposition of both values when in a quantum state.

Superconducting qubits, used by IBM and several others, are the most commonly used technology.Even so, trapped-ion qubits are the most mature qubit technology. It dates back to the 1990s and its first use in atomic clocks. Honeywell and IonQ are the most prominent commercial users of trapped ion qubits.

Trapped-Ion quantum computers

Depiction of external lasers and optical equipment in a quantum computer ... [+]

Honeywell and IonQ both create trapped-ion qubits using an isotope of rare-earth metal called ytterbium.In its chip using integrated photonics, MIT used an alkaline metal called strontium.The process to create ions is essentially the same. Precision lasers remove an outer electron from an atom to form a positively charged ion.Then, lasers are used like tweezers to move ions into position. Once in position, oscillating voltage fields hold the ions in place. One main advantage of ions lies in the fact that it is natural instead of fabricated. All trapped-ion qubits are identical.A trapped-ion qubit created on earth would be the perfect twin of one created on another planet.

Dr. Robert Niffenegger, a member of the Trapped Ion and Photonics Group at MIT Lincoln Laboratory, led the experiments and is first author on the Nature paper.He explained why strontium was used for the MIT chip instead of ytterbium, the ion of choice for Honeywell and IonQ."The photonics developed for the ion trap are the first to be compatible with violet and blue wavelengths," he said. "Traditional photonics materials have very high loss in the blue, violet and UV.Strontium ions were used instead of ytterbium because strontium ions do not need UV light for optical control."

This figure shows lasers in Honeywell's powerful Model zero trapped-ion quantum computer. Parallel ... [+] operating zones are a key differentiating feature of its advanced QCCD trapped-ion system

All the manipulation of ions takes place inside a vacuum chamber containing a trapped-ion quantum processor chip.The chamber protects the ions from the environment and prevents collisions with air molecules. In addition to creating ions and moving them into position, lasers perform necessary quantum operations on each qubit.Because lasers and optical components are large, it is by necessity located outside the vacuum chamber.Mirrors and other optical equipment steer and focus external laser beams through the vacuum chamber windows and onto the ions.

The largest number of trapped-ion qubits being used in a quantum computer today is 32.For quantum computers to be truly useful, millions of qubits are needed.Of course, that means many thousands of lasers will also be required to control and measure the millions of ion qubits. The problem becomes even larger when two types of ions are used, such as ytterbium and barium in Honeywell's machine. The current method of controlling lasers makes it challenging to build trapped-ion quantum computers beyond a few hundred qubits.

Fiber optics couple laser light directly into the MIT ion-trap chip. When in use, the chip is cooled ... [+] to cryogenic temperatures in a vacuum chamber, and waveguides on the chip deliver the light to an ion trapped right above the chip's surface for performing quantum computation.

Rather than resorting to optics and bouncing lasers off mirrors to aim beams into the vacuum chamber, MIT researchers have developed another method.They have figured out how to use optical fibers and photonics to carry laser pulses directly into the chamber and focus them on individual ions on the chip.

A trapped-ion strontium quantum computer needs lasers of six different frequencies. Each frequency corresponds to a different color that ranges from near-ultraviolet to near-infrared.Each color performs a different operation on an ion qubit. The MIT press release describes the new development this way, "Lincoln Laboratory researchers have developed a compact way to deliver laser light to trapped ions. In the Nature paper, the researchers describe a fiber-optic block that plugs into the ion-trap chip, coupling light to optical waveguides fabricated in the chip itself. Through these waveguides, multiple wavelengths [colors] of light can be routed through the chip and released to hit the ions above it."

Light is coupled to the MIT integrated photonic trap chip via optical fibers which enter the ... [+] cryogenic vacuum chamber through a fiber feed-

In other words, rather than using external mirrors to shine lasers into the vacuum chamber, MIT researchers used multiple optical fibers and photonic waveguides instead.A block equipped with four optic fibers delivering a range of colors was mounted on the quantum chip's underside. According to Niffenegger, "Getting the fiber block array aligned to the waveguides on the chip and applying the epoxy felt like performing surgery. It was a very delicate process. We had about half a micron of tolerance, and it needed to survive cool down to4 Kelvin."

I asked Dr. Niffenegger his thoughts about the long-term implications of his team's development.His reply was interesting.

"I think many people in the quantum computing field think that the board is set and all of the leading technologies at play are well defined. I think our demonstration, together with other work integrating control of trapped ion qubits, could tip the game on its head and surprise some people that maybe the rules arent what they thought.But really I just hope that it spurs more out of the box ideas that could enable quantum computing technologies to break through towards practical applications.

Analyst Notes:

Note: Moor Insights & Strategy writers and editors may have contributed to this article.

Disclosure: Moor Insights & Strategy, like all research and analyst firms, provides or has provided paid research, analysis, advising, or consulting to many high-tech companies in the industry, including 8x8, Advanced Micro Devices, Amazon, Applied Micro, ARM, Aruba Networks, AT&T, AWS, A-10 Strategies, Bitfusion, Blaize, Calix, Cisco Systems, Clear Software, Cloudera, Clumio, Cognitive Systems, CompuCom, Dell, Dell EMC, Dell Technologies, Diablo Technologies, Digital Optics, Dreamchain, Echelon, Ericsson, Extreme Networks, Flex, Foxconn, Frame, Fujitsu, Gen Z Consortium, Glue Networks, GlobalFoundries, Google (Nest-Revolve), Google Cloud, HP Inc., Hewlett Packard Enterprise, Honeywell, Huawei Technologies, IBM, Ion VR, Inseego, Intel, Interdigital, Jabil Circuit, Konica Minolta, Lattice Semiconductor, Lenovo, Linux Foundation, MapBox, Mavenir, Marseille Inc, Mayfair Equity, Meraki (Cisco), Mesophere, Microsoft, Mojo Networks, National Instruments, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek, Novumind, NVIDIA, ON Semiconductor, ONUG, OpenStack Foundation, Oracle, Poly, Panasas, Peraso, Pexip, Pixelworks, Plume Design, Portworx, Pure Storage, Qualcomm, Rackspace, Rambus, Rayvolt E-Bikes, Red Hat, Residio, Samsung Electronics, SAP, SAS, Scale Computing, Schneider Electric, Silver Peak, SONY, Springpath, Spirent, Splunk, Sprint, Stratus Technologies, Symantec, Synaptics, Syniverse, Synopsys, Tanium, TE Connectivity, TensTorrent, Tobii Technology, Twitter, Unity Technologies, UiPath, Verizon Communications, Vidyo, VMware, Wave Computing, Wellsmith, Xilinx, Zebra, Zededa, and Zoho which may be cited in this article

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MIT Lincoln Laboratory Creates The First Trapped-Ion Quantum Chip With Integrated Photonics - Forbes

Global Quantum Software Market 2026 The leading Industry Players : Origin Quantum Computing Technology, D Wave, IBM, Microsoft, Intel etc. – Eurowire

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Global Quantum Software Market 2026 The leading Industry Players : Origin Quantum Computing Technology, D Wave, IBM, Microsoft, Intel etc. - Eurowire

Global Quantum Computing Market 2020 COVID-19 Updated Analysis By Product (Simulation, Optimization, Sampling); By Application (Defense, Banking &…

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Global Quantum Computing Market Overview Target Audience for the Quantum Computing Market Economic Impact on the Quantum Computing Market Global Quantum Computing Market Forecast Business Competition by Manufacturers Production, Revenue (Value) by Region Production, Revenue (Value), Price Trend by Type Market Analysis by Application Cost Analysis Industrial Chain, Sourcing Strategy, and Downstream Buyers Marketing Strategy Analysis, Distributors/Traders Market Effect Factors Analysis

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Global Quantum Computing Market 2020 COVID-19 Updated Analysis By Product (Simulation, Optimization, Sampling); By Application (Defense, Banking &...

What the 2020 election means for science – Axios

The 2020 presidential election presents two stark paths for the direction of future-focused scientific research.

Why it matters: Science is a long game, with today's breakthroughs often stemming from research carried out decades ago, often with government help. That means the person who occupies the White House over the next four years will help shape the state of technology for decades into the future.

Where it stands: The Trump administration's record on science is criticized by experts in nearly every field, from climate change to biotechnology to health, who sense that science as a practice has been deprioritized and politicized.

Yes, but: Two research areas prioritized under the Trump administration AI and quantum information sciences (QIS) are at the heart of technonationalism and the global science race, particularly between the U.S. and China.

The other side: The focus on AI and quantum computing is likely to continue under Biden, but his agenda could also include cancer (he led the Obama administration's cancer initiative), while reinvigorating climate change research.

The foreign factor: Perhaps the biggest question the U.S. faces on science is its relationship with China.

Be smart: Under the Trump administration, there's been intense scrutiny of research partnerships and investigations into foreign influence on U.S. research that some experts argue is eroding collaborations, while federal agencies say the focus is on unethical behavior.

What to watch: Whether calls for science and tech alliances among geopolitically aligned countries gain steam under the next administration.

Of note: Scientific American made the first presidential endorsement in its 175-year history, picking Biden for his "fact-based plans to protect our health, our economy and the environment."

The bottom line: The U.S. has been the world's unquestioned scientific leader for decades, but whether that continues in the face of intense competition may depend on what happens on Nov. 3.

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What the 2020 election means for science - Axios

A Measured Approach to Regulating Fast-Changing Tech – Harvard Business Review

Executive Summary

Innovations driving what many refer to as the Fourth Industrial Revolution are as varied as the enterprises affected. Industries and their supply chains are already being revolutionized by several emerging technologies, including 5G networks, artificial intelligence, and advanced robotics, all of which make possible new products and services that are both better and cheaper than current offerings. Unfortunately, not every application of transformational technology is as obviously beneficial to individuals or society as a whole. But rather than panic, regulators will need to step back, and balance costs and benefits rationally.

Amid the economic upheaval caused by Covid-19, technology-driven disruption continues to transform nearly every business at an accelerating pace, from entertainment to shopping to how we work and go to school. Though the crisis may be temporary, many changes in consumer behavior are likely permanent.

Well before the pandemic, however, industries and their supply chains were already being revolutionized by several emerging technologies, including 5G networks, artificial intelligence, and advanced robotics, all of which make possible new products and services that are both better and cheaper than current offerings. That kind of big bang disruption can quickly and repeatedly rewrite the rules of engagement for incumbents and new entrants alike. But is the world changing too fast? And, if so, are governments capable of regulating the pace and trajectory of disruption?

The answers to those questions vary by industry, of course. Thats because the innovations driving what many refer to as the Fourth Industrial Revolution are as varied as the enterprises affected. In my recent book, Pivot to the Future, my co-authors and I identified ten transformative technologies with the greatest potential to generate new value for consumers, which is the only measure of progress that really matters. They are: extended reality, cloud computing, 3D printing, advanced human-computer interactions, quantum computing, edge and fog computing, artificial intelligence, the Internet of Things, blockchain, and smart robotics.

Some of these disruptors, such as blockchain, robotics, 3D printing and the Internet of things, are already in early commercial use. For others, the potential applications may be even more compelling, though the business cases for reaching them are less obvious. Today, for example, only the least risk-adverse investors are funding development in virtual reality, edge computing, and new user interface technologies that interpret and respond to brainwaves.

Complicating both investment and adoption of transformative technologies is the fact that the applications with the biggest potential to change the world will almost certainly be built on unanticipated combinations of several novel and mature innovations. Think of the way ride-sharing services require existing GPS services, mobile networks, and devices, or how video conferencing relies on home broadband networks and high-definition displays. Looking at just a few of the most exciting examples of things to come make clear just how unusual the next generation of disruptive combinations will be, and how widespread their potential impact on business-as-usual:

Unfortunately, not every application of transformational technology is as obviously beneficial to individuals or society as a whole. Every one of the emerging technologies we identified (and plenty of those already in mainstream use) come with potential negative side effects that may, in some cases, outweigh the benefits. Often, these costs are both hard to predict and difficult to measure.

As disruption accelerates, so too does anxiety about its unintended consequences, feeding what futurist Alvin Toffler first referred to half a century ago as Future Shock. Tech boosters and critics alike are increasingly appealing to governments to intervene, both to promote the most promising innovations and, at the same time, to solve messy social and political conflicts aggravated by the technology revolution.

On the plus side, governments continue to support research and development of emerging technologies, serving as trial users of the most novel applications. The White House, for example, recently committed over $1 billion for continued exploration of leading-edge innovation in artificial intelligence and quantum computing. The Federal Communications Commission has just concluded one its most successful auctions yet for mobile radio frequencies, clearing bandwidth once considered useless for commercial use but now seen as central to nationwide 5G deployments. Palantir, a data analytics company that works closely with governments to assess terrorism and other complex risks, has just filed for a public offering that values the start-up at over $40 billion.

At the same time, a regulatory backlash against technology continues to gain momentum, with concerns about surveillance, the digital divide, privacy, and disinformation leading lawmakers to consider restricting or even banning some of the most popular applications. And the increasingly strategic importance of continued innovation to global competitiveness and national security has fueled increasingly nasty trade disputes, including some between the U.S., China, and the European Union.

Together with on-going antitrust inquiries into the competitive behavior of leading technology providers, these negative reactions underscore what author Adam Thierer sees as the growing prevalence of techno-panics generalized fears about personal autonomy, the fate of democratic government, and perhaps even apocalyptic outcomes from letting some emerging technologies run free.

Disruptive innovation is not a panacea, but nor is it a poison. As technology transforms more industries and becomes the dominant driver of the global economy, it is inevitable both that users will grow more ambivalent, and, as a result, that regulators will become more involved. If, as a popular metaphor of the 1990s had it, the digital economy began as a lawless frontier akin to the American West, its no surprise that as settlements grow socially complex and economically powerful, the law will continue to play catch up, likely for better and for worse.

But rather than panic, regulators need to step back, and balance costs and benefits rationally. Thats the only way well achieve the exciting promise of todays transformational technologies, but still avoid the dystopias.

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A Measured Approach to Regulating Fast-Changing Tech - Harvard Business Review