Archive for the ‘Quantum Computing’ Category

Jellybeans: A sweet solution for overcrowded circuitry in quantum computer chips – Phys.org

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The silicon microchips of future quantum computers will be packed with millions, if not billions of qubitsthe basic units of quantum informationto solve the greatest problems facing humanity. And with millions of qubits needing millions of wires in the microchip circuitry, it was always going to get cramped in there.

But now engineers at UNSW Sydney have made an important step toward solving a long-standing problem about giving their qubits more breathing spaceand it all revolves around jellybeans.

Not the kind we rely on for a sugar hit to get us past the 3pm slump. But jellybean quantum dotselongated areas between qubit pairs that create more space for wiring without interrupting the way the paired qubits interact with each other.

As lead author Associate Professor Arne Laucht explains, the jellybean quantum dot is not a new concept in quantum computing, and has been discussed as a solution to some of the many pathways toward building the world's first working quantum computer.

"It has been shown in different material systems such as gallium arsenide. But it has not been shown in silicon before," he says.

Silicon is arguably one of the most important materials in quantum computing, A/Prof. Laucht says, as the infrastructure to produce future quantum computing chips is already available, given we use silicon chips in classical computers. Another benefit is that you can fit so many qubits (in the form of electrons) on the one chip.

"But because the qubits need to be so close together to share information with one another, placing wires between each pair was always going to be a challenge."

In a study published today in Advanced Materials, the UNSW team of engineers describe how they showed in the lab that jellybean quantum dots were possible in silicon. This now opens the way for qubits to be spaced apart to ensure that the wires necessary to connect and control the qubits can be fit in between. Credit: University of New South Wales

In a normal quantum dot using spin qubits, single electrons are pulled from a pool of electrons in silicon to sit under a "quantum gate"where the spin of each electron represents the computational state. For example, spin up may represent a 0 and spin down could represent a 1. Each qubit can then be controlled by an oscillating magnetic field of microwave frequency.

But to implement a quantum algorithm, we also need two-qubit gates, where the control of one qubit is conditional on the state of the other. For this to work, both quantum dots need to be placed very closely, just a few 10s of nanometers apart so their spins can interact with one another. (To put this in perspective, a single human hair is about 100,000 nanometers thick.)

But moving them further apart to create more real estate for wiring has always been the challenge facing scientists and engineers. The problem was as the paired qubits move apart, they would then stop interacting.

The jellybean solution represents a way of having both: nicely spaced qubits that continue to influence one another. To make the jellybean, the engineers found a way to create a chain of electrons by trapping more electrons in between the qubits. This acts as the quantum version of a string phone so that the two paired qubit electrons at each end of the jellybean can continue to talk to another. Only the electrons at each end are involved in any computations, while the electrons in the jellybean dot are there to keep them interacting while spread apart.

The lead author of the paper, former Ph.D. student Zeheng Wang says the number of extra electrons pulled into the jellybean quantum dot is key to how they arrange themselves.

"We showed in the paper that if you only load a few electrons in that puddle of electrons that you have underneath, they break into smaller puddles. So it's not one continuous jellybean quantum dot, it's a smaller one here, and a bigger one in the middle and a smaller one there. We're talking of a total of three to maybe ten electrons.

"It's only when you go to larger numbers of electrons, say 15 or 20 electrons, that the jellybean becomes more continuous and homogeneous. And that's where you have your well-defined spin and quantum states that you can use to couple qubits to another."

A/Prof. Laucht stresses that there is still much work to be done. The team's efforts for this paper focused on proving the jellybean quantum dot is possible. The next step is to insert working qubits at each end of the jellybean quantum dot and make them talk to another.

"It is great to see this work realized. It boosts our confidence that jellybean couplers can be utilized in silicon quantum computers, and we are excited to try implementing them with qubits next."

More information: Zeheng Wang et al, Jellybean Quantum Dots in Silicon for Qubit Coupling and OnChip Quantum Chemistry, Advanced Materials (2023). DOI: 10.1002/adma.202208557

Journal information: Advanced Materials

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Jellybeans: A sweet solution for overcrowded circuitry in quantum computer chips - Phys.org

LightSolver debuts ‘laser processing unit’ as alternative to quantum … – SiliconANGLE News

High-performance computing startup LightSolver Ltd. today announced what it says is the worlds first pure laser-based processing unit, providing businesses with an alternative to expensive supercomputers and unstable quantum computing platforms.

The LightSolver LPU is designed to solve business challenges that involve multiple variables. Defined as NP-hard optimization problems, they traditionally require specific mathematical models and vast amounts of computational power to solve.

LightSolver said these optimization problems are commonly faced in industries such as finance, centered around portfolio management, risk management and trading optimization. Its platform also targets problems around resource allocation, assembly line balancing and facility layout optimization in the manufacturing industry, and engineering challenges such as complex material design.

Organizations have traditionally relied on supercomputers to solve these challenges, and are also invested in quantum computers, which have the potential to become vastly more powerful. However, LightSolver says supercomputers are close to approaching their computational limits, while quantum computers are neither scalable or practical yet. Both options are incredibly expensive and require significant expertise and resources, it says.

LightSolver is different, because its LPU platform is accessible as a software-as-a-service for any organization. The startup said its quantum-inspired technology employs coupled lasers to perform extremely complex computations for intricate multi-variable problems. Built from well-understood laser technology, it can provide solutions to business optimization problems that were previously considered to be unsolvable, the company said.

Co-founder and Chief Executive Ruti Ben-Shlomi (pictured, right, alongside co-founderChene Tradonsky) told SiliconANGLE that LightSolver is being made available via a user-friendly interface through a Python package.

Many large and medium-sized companies are already familiar with mapping their business challenges as mathematical optimization problems, she explained. For organizations that do not have these capabilities yet, we offer assistance in translating their business challenges into mathematical formulations that can be solved by our SaaS.

The LPU technology is said to mimic the power of quantum computing, using all-optical lasers that require no electronics to compute. Moreover, its platform is available in an extremely small form factor, no bigger than a desktop computer, meaning it has low power requirements and operates at room temperature.

Just as graphics processing units have surpassed the capabilities of central processing units, LPUs can outperform the most powerful supercomputers, LightSolver claims. They work at the speed of light to calculate every possible variable in a problem instantaneously. For any given problem, the LPU will convert a mathematical representation into a physical logic formulation, then map it into obstacles within the lasers optical path. The laser beams will then converge into the most practical solution, which is then translated back into the business language of the user.

LightSolver says its great advantage is its ability to harness the natural properties of light to break the physical limits of electronics, enabling it to solve problems faster and with more accuracy than any supercomputer.

Ben-Shlomi was keen to point out some of the specific use cases where LightSolver can deliver a significant advantage to companies. For instance, he said that in industries such as aviation and aerospace, material manufacturing involves finding the optimized composition of materials to meet multiple constraints, such asrigidity, heat capacity and resistance.

This process can be challenging due to the complex nature of these constraints, Ben-Shlomi said. LightSolver provides fast and accurate solutions for these problems, with the ability to scale to a large number of variables.

It can also help with tasks such as warehouse optimization. If a customer has a representative mathematical model for the variables affecting the layout of its warehouses, it can simply input this into LightSolver to find the most streamlined option. If you dont have such a model yet, we can work with you to develop one that fits your specific needs, Ben-Shlomi added. Once the model is developed, you can then run it on our SaaS.

LightSolvers claims of superiority over supercomputers are backed up by a number of academic research papers. For instance, in a head-to-head challenge against an industry-leading deep learning solver, its platform was able to solve Max-2-SAT problems by up to 1,000 times faster. A second paper reveals how LightSolver was used to develop a quantum-inspired algorithm for sparse coding that resulted in more accurate estimations than classical approximation methods.

Ben-Shlomi said LightSolver will be able to maintain its advantage even when quantum computers become more mature, with the ability to scale up to thousands of variables. We can provideour solutions using a small-sized rack unit running at room temperature with low power consumption, she said. This means that we can leverage the power of quantum computing without the need for large, expensive hardware or specialized cooling systems and solve complex optimization problems more efficiently and cost-effectively.

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LightSolver debuts 'laser processing unit' as alternative to quantum ... - SiliconANGLE News

Why CBA placed an early bet on quantum computing – The Australian Financial Review

Most modern cryptography, like the codes that keep transactions safe online, is at threat from quantum computing, he said.

Theres a lot of research to design quantum-resistant cryptography. So, thats one area that were paying a lot of attention to make sure that we are able to do quantum-resistant cryptography well ahead of quantum computers being available.

Mr Hopper said that while commercially available general-purpose quantum computers were still likely decades away, the bank was preparing for a future with the powerful new computing resource.

If you think about the spread of the internet, companies who got in early on that were just in a better position. It was a smart thing to get in early, he said.

Following the release of the national quantum computing strategy last week, the federal government has allocated $101.2 million over five years to support businesses integrating quantum and artificial intelligence (AI) technologies into their operations.

The package includes $20 million over four years to establish an Australian Centre for Quantum Growth, $40 million to encourage business uptake, and $40 million to extend the CSIRO-run National AI Centre.

Mr Hopper welcomed a big, bold step forward for quantum across Australia that he said recognised its potential to be a world leader and the need for ongoing support from government, academia and industry.

Professor Simmons, CEO of Silicon Quantum Computing, said the package proved the government recognised the importance of quantum technologies for Australias future.

The approach contains a range of schemes that will bolster this growing sector and help accelerate commercialisation so that quantum technologies become a great source of future prosperity for Australia, she said.

Silicon Quantum Computing is achieving remarkable results in its devices but support from the government is essential in these deep tech areas where there is a global race.

Michael Biercuk, chief executive and founder of quantum start-up Q-CTRL, said Australia was facing an increasingly competitive landscape and there was a growing risk the local sector would lose its edge if funding dipped.

As other nations invest heavily in quantum technologies, Australia must stay vigilant and match long-term capital commitments to ambitions in order to avoid repeating missed opportunities of the past, Mr Biercuk said.

The Australian Information Industry Association had advocated for a $1 billion investment over five years in quantum technologies.

The budget is good for the tech sector, but there remains room for greater support, association chief executive Simon Bush said.

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Why CBA placed an early bet on quantum computing - The Australian Financial Review

Bipartisan bill hopes to boost quantum computing in the United States – Citizentribune

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Bipartisan bill hopes to boost quantum computing in the United States - Citizentribune

Quantum Computing Market Deep Dive into Industry Leaders: Analysis of Top Manufacturers and Their Strategic Ap – openPR

Global "Quantum Computing Market" Research report is an in-depth study of the market Analysis. Along with the most recent patterns and figures that uncovers a wide examination of the market offer. This report provides exhaustive coverage on geographical segmentation, latest demand scope, growth rate analysis with industry revenue and CAGR status. While emphasizing the key driving and restraining forces for this market, the report also offers a complete study of the future trends and developments of the market.

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Special coverage on Russia-Ukraine war; global inflation; easing of zero-Covid policy in China and its `bumpy` reopening; supply chain disruptions, global trade tensions; and risk of recession.Global competitiveness and key competitor percentage market sharesMarket presence across multiple geographies - Strong/Active/Niche/TrivialOnline interactive peer-to-peer collaborative bespoke updatesAccess to digital archives and Research PlatformComplimentary updates for one yearThe list of Key Players Profiled in the study includes:-IBM Quantum, Google Quantum Computing, Microsoft Quantum, Honeywell Quantum Solutions, D-Wave Systems, Rigetti Computing, IonQ, Intel Quantum Computing, Alibaba Quantum Computing, and Tencent Quantum Lab.

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North America(USA, Canada and Mexico)Europe(UK, Germany, France and the Rest of Europe)Asia Pacific(China, Japan, India, and the Rest of the Asia Pacific region)South America(Brazil, Argentina and the Rest of South America)Middle East and Africa(GCC and Rest of the Middle East and Africa)

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Scope For 2024Brief Introduction to the research report.Table of Contents (Scope covered as a part of the study)Top players in the marketResearch framework (structure of the report)Research methodology adopted by The Market InsightsThe Global Quantum Computing Market Industry Report Covers The Following Data Points:

: This section covers the global Market overview, including the basic market introduction, market analysis by its applications, type, and regions. The major regions of the global Market industry include North America, Europe, Asia-Pacific, and the Middle-East and Africa. Quantum Computing Market industry statistics and outlook are presented in this section. Market dynamics states the opportunities, key driving forces, market risk are studied.

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About us:Delivering foresights along with statistical analysis of the operational business industry impacts has been our foremost priority. With the constant developments in the research & development industry, we have always challenged the conventional research methodologies and discovered new research tactics to evolve the growing B2B requirements.

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