Archive for the ‘Quantum Computing’ Category

Reimagining the laser: new ideas from quantum theory could herald a revolution – The Conversation AU

Lasers were created 60 years ago this year, when three different laser devices were unveiled by independent laboratories in the United States. A few years later, one of these inventors called the unusual light sources a solution seeking a problem. Today, the laser has been applied to countless problems in science, medicine and everyday technologies, with a market of more than US$11 billion per year.

A crucial difference between lasers and traditional sources of light is the temporal coherence of the light beam, or just coherence. The coherence of a beam can be measured by a number C, which takes into account the fact light is both a wave and a particle.

Read more: Explainer: what is wave-particle duality

From even before lasers were created, physicists thought they knew exactly how coherent a laser could be. Now, two new studies (one by myself and colleagues in Australia, the other by a team of American physicists) have shown C can be much greater than was previously thought possible.

The coherence C is roughly the number of photons (particles of light) emitted consecutively into the beam with the same phase (all waving together). For typical lasers, C is very large. Billions of photons are emitted into the beam, all waving together.

This high degree of coherence is what makes lasers suitable for high-precision applications. For example, in many quantum computers, we will need a highly coherent beam of light at a specific frequency to control a large number of qubits over a long period of time. Future quantum computers may need light sources with even greater coherence.

Read more: Explainer: quantum computation and communication technology

Physicists have long thought the maximum possible coherence of a laser was governed by an iron rule known as the Schawlow-Townes limit. It is named after the two American physicists who derived it theoretically in 1958 and went on to win Nobel prizes for their laser research. They stated that the coherence C of the beam cannot be greater than the square of N, the number of energy-excitations inside the laser itself. (These excitations could be photons, or they could be atoms in an excited state, for example.)

Now, however, two theory papers have appeared that overturn the Schawlow-Townes limit by reimagining the laser. Basically, Schawlow and Townes made assumptions about how energy is added to the laser (gain) and how it is released to form the beam (loss).

The assumptions made sense at the time, and still apply to lasers built today, but they are not required by quantum mechanics. With the amazing advances that have occurred in quantum technology in the past decade or so, our imagination need not be limited by standard assumptions.

The first paper, published this week in Nature Physics, is by my group at Griffith University and a collaborator at Macquarie University. We introduced a new model, which differs from a standard laser in both gain and loss processes, for which the coherence C is as big as N to the fourth power.

In a laser containing as many photons as a regular laser, this would allow C to be much bigger than before. Moreover, we show a laser of this kind could in principle be built using the technology of superconducting qubits and circuits which is used in the currently most successful quantum computers.

Read more: Why are scientists so excited about a recently claimed quantum computing milestone?

The second paper, by a team at the University of Pittsburgh, has not yet been published in a peer-reviewed journal but recently appeared on the physics preprint archive. These authors use a somewhat different approach, and end up with a model in which C increases like N to the third power. This group also propose building their laser using superconducting devices.

It is important to note that, in both cases, the laser would not produce a beam of visible light, but rather microwaves. But, as the authors of this second paper note explicitly, this is exactly the type of source required for superconducting quantum computing.

The standard limit is that C is proportional to N , the Pittsburgh group achieved C proportional to N , and our model has C proportional to N . Could some other model achieve an even higher coherence?

No, at least not if the laser beam has the ideal coherence properties we expect from a laser beam. This is another of the results proven in our Nature Physics paper. Coherence proportional to the fourth power of the number of photons is the best that quantum mechanics allows, and we believe it is physically achievable.

An ultimate achievable limit that surpasses what is achievable with standard methods, is known as a Heisenberg limit. This is because it is related to Heisenbergs uncertainty principle.

Read more: Explainer: Heisenbergs Uncertainty Principle

A Heisenberg-limited laser, as we call it, would not be just a revolution in the design and performance of lasers. It also requires a fundamental rethinking of what a laser is: not restricted to the current kinds of devices, but any device which turns inputs with little coherence into an output of very high coherence.

It is the nature of revolutions that it is impossible to tell whether they will succeed when they begin. But if this one does, and standard lasers are supplanted by Heisenberg-limited lasers, at least in some applications, then these two papers will be remembered as the first shots.

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Reimagining the laser: new ideas from quantum theory could herald a revolution - The Conversation AU

Quantum Inspired Algorithm Going Back To The Source – Hackaday

Recently, [Jabrils] set out to accomplish a difficult task: porting a quantum-inspired algorithm to run on a (simulated) quantum computer. Algorithms are often inspired by all sorts of natural phenomena. For example, asolution to the traveling salesman problem models ants and their pheromone trails. Another famous example is neural nets, which are inspired by the neurons in your brain. However, attempting to run a machine learning algorithm on your neurons, even with the assistance of pen and paper would be a nearly impossible exercise.

The quantum-inspired algorithm in question is known as the wavefunction collapse function. In a nutshell, you have a cube of voxels, a graph of nodes, or simply a grid of tiles as well as a list of detailed rules to determine the state of a node or tile. At the start of the algorithm, each node or point is considered in a state of superposition, which means it is considered to be in every possible state. Looking at the list of rules, the algorithm then begins to collapse the states. Unlike a quantum computer, states of superposition is not an intrinsic part of a classic computer, so this solving must be done iteratively. In order to reduce possible conflicts and contradictions later down the line, the nodes with the least entropy (the smallest number of possible states) are solved first. At first, random states are assigned, with the changes propagating through the system. This process is continued until the waveform is ultimately collapsed to a stable state or a contradiction is reached.

Whats interesting is that the ruleset doesnt need to be coded, it can be inferred from an example. A classic use case of this algorithm is 2D pixel-art level design. By providing a small sample level, the algorithm churns and produces similar but wholly unique output. This makes it easy to provide thousands of unique and beautiful levels from an easy source image, however it comes at a price. Even a small level can take hours to fully collapse. In theory, a quantum computer should be able to do this much faster, since after all, it was the inspiration for this algorithm in the first place.

[Jabrils] spent weeks trying to get things running but ultimately didnt succeed. However, his efforts give us a peek into the world of quantum computing and this amazing algorithm. We look forward to hearing more about this project from [Jabrils] who is continuing to work on it in his spare time. Maybe give it a shot yourself by learning the basics of quantum computing for yourself.

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Quantum Inspired Algorithm Going Back To The Source - Hackaday

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 &…

Global Quantum Computing Market Report Covers Market Dynamics, Market Size, And Latest Trends Amid The COVID-19 Pandemic

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An Overview About the Table of Contents:

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 &...