Archive for the ‘Quantum Computing’ Category

Multiverse Computing and Xanadu Partner on Quantum Software for Finance – insideHPC – insideHPC

TORONTO and SAN SEBASTIN, SPAIN Multiverse Computing, a maker of quantum computing software for the financial industry, and Xanadu, a full-stack photonic quantum computing company, announced today a joint partnership to expand Multiverses use of Xanadus open source software, PennyLane.

The partnership will enable Multiverses financial services clients to develop applications with greater speed and ease. These applications will enhance financial and banking intelligence in areas ranging from risk modeling to market forecasting.Led by Xanadus world-renowned team of scientists and developers, PennyLane has built a large and passionate following since its initial release three years ago.

PennyLane connects the most popular quantum computing platforms with the best machine learning tools using a device-agnostic and open-source approach, allowing users to train quantum computers the same way as neural networks.

With PennyLane at the core of Multiverses product suite, our financial services clients will gain access to tools and best practices in quantum programming, backed by one of the worlds largest open-source quantum communities, said Samuel Mugel, CTO ofMultiverse Computing. We see PennyLane as a critical tool for validating our product efforts, enhancing our ability to rapidly test and deploy new quantum capabilities across our financial user community.

We continue to see broader adoption of PennyLane with innovative startups like Multiverse. Xanadus open-source software is an excellent vehicle for accelerating development and reducing the time to market for new quantum products, said Rafal Janik, Xanadus Head of Product. The collective knowledge of Multiverses scientists and their clients provides feedback benefiting the broader open-source community and improving PennyLane.

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Multiverse Computing and Xanadu Partner on Quantum Software for Finance - insideHPC - insideHPC

Outlook on the Next Generation Computing Global Market to 2027 – GlobeNewswire

Dublin, Feb. 03, 2022 (GLOBE NEWSWIRE) -- The "Next Generation Computing Market: Bio-Computing, Brain-Computer Interfaces, High Performance Computing, Nanocomputing, Neuromorphic Computing, Serverless Computing, Swarm Computing, and Quantum Computing 2022 - 2027" report has been added to ResearchAndMarkets.com's offering.

This next generation computing market report evaluates next generation computing technologies, use cases, and applications. Market readiness factors are considered along with the impact of different computational methods upon other emerging technologies.

The report provides analysis of leading-edge developments such as computer integration with human cognition via bio-computing and brain-computer interfaces. Other pioneering areas covered include leveraging developments in nanotechnology to develop more effective computing models and methods.

The report includes critical analysis of leading vendors and strategies. The report includes next generation computing market sizing for the period of 2022 - 2027.

Select Report Findings:

There are many technologies involved, including distributed computing (swarm computing), computational collaboration (bio-computing), improving performance of existing supercomputers, and completely new computer architectures such as those associated with quantum computing. Each of these approaches has their own advantages and disadvantages. Many of these different computing architectures and methods stand alone in terms of their ability to solve market problems.

Next generation computing technologies covered in this report include:

More than simply an amalgamation of technologies, the next generation computing market is characterized by many different approaches to solve a plethora of computational challenges. Common factors driving the market include the need for ever increasing computation speed and efficiency, reduced energy consumption, miniaturization, evolving architectures and business models.

High-performance Computing

High-performance computing (HPC) solves complex computational problems using supercomputers and parallel computational techniques, processing algorithms and systems. HPC leverages various techniques including computer modeling, simulation, and analysis to solve advanced computational problems and perform research activities while allowing usage of computing resources concurrently.

Quantum Computing

The commercial introduction of quantum computing is anticipated to both solve and create new problems as previously unsolvable problems will be solved. This multiplicity of developments with next generation computing makes it difficult for the enterprise or government user to make decisions about infrastructure, software, and services.

Biocomputing

Biocomputing refers to the construction and use of computers using biologically derived molecules including DNA and proteins to perform computational calculations such as storing, retrieving and processing data. The computing system functions more like a living organism or contains biological components.

Neuromorphic Computing

Neuromorphic computing refers to the implementation of neural systems such as perception, motor control, and multisensory integration for very large-scale integration systems combining analog circuits or digital circuits or mixed mode circuits, and software systems.

Neuromorphic computing leverages the techniques of neuromorphic engineering that takes inspiration from biology, physics, mathematics, computer science, and electronic engineering to develop artificial neural systems including vision systems, head-eye systems, auditory processors, and autonomous robots.

Nanocomputing

Nanocomputing refers to miniature computing devices (within 100 nanometers) that are used to perform critical tasks like representation and manipulation of data. Nanocomputing is expected to bring revolution in the way traditional computing is used in certain key industry verticals, allowing progress in device technology, computer architectures, and IC processing. This technology area will help to substantially progress implantable technologies inserted into the human body, primarily for various healthcare solutions.

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction

3.0 Technology and Application Analysis3.1 High Performance Computing3.1.1 HPC Technology3.1.2 Exascale Computation3.1.2.1 Exascale Supercomputer Development3.1.2.1.1 United States3.1.2.1.2 China3.1.2.1.3 Europe3.1.2.1.4 Japan3.1.2.1.5 India3.1.2.1.6 Taiwan3.1.3 Supercomputers3.1.4 High Performance Technical Computing3.1.5 Market Segmentation Considerations3.1.6 Use Cases and Application Areas3.1.6.1 Computer Aided Engineering3.1.6.2 Government3.1.6.3 Financial Services3.1.6.4 Education and Research3.1.6.5 Manufacturing3.1.6.6 Media and Entertainment3.1.6.7 Electronic Design Automation3.1.6.8 Bio-Sciences and Healthcare3.1.6.9 Energy Management and Utilities3.1.6.10 Earth Science3.1.7 Regulatory Framework3.1.8 Value Chain Analysis3.1.9 AI to Drive HPC Performance and Adoption3.2 Swarm Computing3.2.1 Swarm Computing Technology3.2.1.1 Ant Colony Optimization3.2.1.2 Particle Swarm Optimization3.2.1.3 Stochastic Diffusion Search3.2.2 Swarm Intelligence3.2.3 Swarm Computing Capabilities3.2.4 Value Chain Analysis3.2.5 Regulatory Framework3.3 Neuromorphic Computing3.3.1 Neuromorphic Computing Technology3.3.2 Neuromorphic Semiconductor3.3.2.1 Hardware Neurons3.3.2.2 Implanted Memory3.3.3 Neuromorphic Application3.3.4 Neuromorphic Market Explained3.3.5 Value Chain Analysis3.4 Biocomputing3.4.1 Bioinformatics3.4.2 Computational Biology and Drug Discovery3.4.3 Biodata Mining and Protein Simulations3.4.4 Biocomputing Platform and Services3.4.5 Biocomputing Application3.4.6 Biocomputing Products3.4.7 Value Chain Analysis3.5 Quantum Computing3.5.1 Quantum Simulation, Sensing and Communication3.5.2 Quantum Cryptography3.5.3 Quantum Computing Technology3.5.4 Quantum Programming, Software and SDK3.5.5 Quantum Computing Application3.5.6 Value Chain Analysis3.6 Serverless Computing3.6.1 Serverless Computing Solution3.6.2 Serverless Computing Application3.6.2.1 Event Driven Computing3.6.2.2 Live Video Broadcasting3.6.2.3 Processing IoT Data3.6.2.4 Shared Delivery Dispatch System3.6.2.5 Web Application and Bakends3.6.2.6 Application Scalability3.6.2.7 Sales opportunities and Customer Experience3.6.3 Value Chain Analysis3.7 Brain Computer Interface Technology3.7.1 BCI Overview3.7.2 Invasive vs. Non-Invasive BCI3.7.3 Partially Invasive BCI3.7.4 BCI Applications3.7.5 Silicon Electronics3.7.6 Value Chain Analysis3.8 Nanocomputing3.8.1 Nanotechnology3.8.2 Nanomaterials3.8.3 DNA Nanocomputing3.8.4 Nanocomputing Market3.8.5 Value Chain3.9 Artificial Intelligence and IoT3.10 Edge Computing Network and 5G3.11 Blockchain and Virtualization3.12 Green Computing3.13 Cognitive Computing

4.0 Company Analysis4.1 Vendor Ecosystem4.2 Leading Company4.2.1 ABM Inc.4.2.2 Advanced Brain Monitoring Inc.4.2.3 Advanced Diamond Technologies Inc.4.2.4 Agilent Technologies Inc.4.2.5 Alibaba Group Holding Limited4.2.6 Amazon Web Services Inc.4.2.7 Apium Swarm Robotics4.2.8 Atos SE4.2.9 Advanced Micro Devices Inc.4.2.10 Robert Bosch GmbH4.2.11 Cisco Systems4.2.12 D-Wave Systems Inc.4.2.13 DELL Technologies Inc.4.2.14 Emotiv4.2.15 Fujitsu Ltd4.2.16 Google Inc.4.2.17 Hewlett Packard Enterprise4.2.18 Huawei Technologies Co. Ltd.4.2.19 IBM Corporation4.2.20 Intel Corporation4.2.21 Keysight Technologies4.2.22 Lockheed Martin Corporation4.2.23 Microsoft Corporation4.2.24 Mitsubishi Electric Corp.4.2.25 NEC Corporation4.2.26 Nokia Corporation4.2.27 NVidia4.2.28 Oracle Corporation4.2.29 Qualcomm Inc.4.2.30 Rackspace inc.4.3 Other Companies4.3.1 Samsung Electronics Co. Ltd.4.3.2 Toshiba Corporation4.3.3 Waters Corporation4.3.4 Gemalto N.V.4.3.5 Juniper Networks Inc.4.3.6 SAP SE4.3.7 Siemens AG4.3.8 Schneider Electric SE4.3.9 Raytheon Company4.3.10 1QB Information Technologies Inc.4.3.11 Cambridge Quantum Computing Ltd.4.3.12 MagiQ Technologies Inc.4.3.13 Rigetti Computing4.3.14 NTT Docomo Inc.4.3.15 Booz Allen Hamilton Inc.4.3.16 Airbus Group4.3.17 Volkswagen AG4.3.18 Iron.io4.3.19 Serverless Inc.4.3.20 LunchBadger4.3.21 CA Technologies4.3.22 TIBCO Software Inc.4.3.23 Salesforce

5.0 Next Generation Computing Market Analysis and Forecasts5.1 Overall Next Generation Computing Market5.2 Next Generation Computing Market by Segment5.3 High Performance Computing Market Forecasts5.4 Swarm Computing Market Forecasts5.5 Neuromorphic Computing Market Forecasts5.6 Biocomputing Market Forecasts5.7 Brain Computer Interface Market Forecasts5.8 Serverless Computing Market Forecasts5.9 Quantum Computing Market Forecasts5.10 Nanocomputing Market Forecasts5.11 NGC Market by Deployment Type5.12 NGC Market by Enterprise Type5.13 NGC Market by Connectivity Type5.14 AI Solution Market in NGC5.15 Big Data Analytics Solution Market in NGC5.16 NGC Market in IoT5.17 NGC Market in Edge Network5.18 NGC Market in Blockchain5.19 Next Generation Computing Market in Smart Cities5.20 Next Generation Computing Market in 5G5.21 Next Generation Computing Market by Region

6.0 Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/46xbto

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Outlook on the Next Generation Computing Global Market to 2027 - GlobeNewswire

Quantum Computing in Transportation Market Strategy, Industry Latest News, Top Company Analysis, Research Report Analysis and Share by Forecast 2026 -…

The Quantum Computing in Transportation market report gathers information from reliable primary and secondary sources to infer the important factors that will impact the industry expansion in the forthcoming years. It analyzes the past and present business scenario to predict figures on growth rate, revenue, shares, and other critical factors.

According to the report, the market value is expected to increase at XX% CAGR over 2021-2026, subsequently reaching a valuation of USD XX during the analysis period.

Request Sample Copy of this Report @ https://www.getnewsalert.com/request-sample/14048

The goal of the research is to assist firms in developing solid contingency plans against the prevalent and upcoming obstacles by providing a complete review of this vertical. This is accomplished by segmenting this business sphere into sub-markets and providing insights into their performance and potential, followed by a thorough examination of the competitive trends.

Key inclusions in the Quantum Computing in Transportation market report:

Quantum Computing in Transportation market segments covered in the report:

Regional bifurcation: North America, Europe, Asia-Pacific, South America, Middle East & Africa, South East Asia

Product types: Traffic Control and Transport Mode Management

Applications spectrum: Government Agency , Fleet Management and Other

Competitive dashboard: IBM , Google , Rigetti Computing , Microsoft , D-Wave Solutions , Intel , Origin Quantum Computing Technology and Anyon Systems Inc

The scope of the Report:

This Quantum Computing in Transportation Market Research/analysis Report Contains Answers To Your Following Questions:

Reasons to Buy the Report:

MAJOR TOC OF THE REPORT:

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Is It Too Early to Invest in Quantum Computing? – CMSWire

PHOTO:Manuel on Unsplash

Much has been said in recent months about how new technology has helped companies navigate the COVID-19 pandemic, enabling the digital workplace and facilitating remote work. Perhaps a less popular conversation, however, is how other emerging technologies are also gaining traction at the enterprise level.

Quantum computing, for instance, is one such technology that is now regarded as likely to disrupt enterprise computing in the coming years. Quantum computers take advantage of quantum states at the atomic and subatomic level to perform calculations at a speed and sophistication substantially greater than existing computers.

While the technology is still in its early days, tech giants are taking big leaps to try to dominate the market an indication there could be broader applications for quantum computing in the near future.

There may be no way for enterprise leaders who balk at introducing new technology that could disrupt their already disrupted digital transformation efforts to get away from quantum computing. Big technology companies have already started throwing lots of money at it in hopes of playing a role in this emerging market, if not dominate it.

LastDecember,CBInsights took a deeper dive into the role Big Tech is playing and found that, like many other areas of the digital workplace, Google, Microsoft, Amazon, IBM and Intel are already starting to carve up the market, leaving little space for smaller, innovative companies. The report is worth a look, especially for tech buyers and strategists in enterprises able to invest in quantum in the next five years.

Among the findings:

In fact, the report argues that quantum will be so important globally in the coming years that we can expect quantum-forward big tech companies, including China-based Baidu and Alibaba, to be drawn deeper into political debates around computing and national agendas.

Related Article: Rebooting the Future With Quantum Computing

The rapid pace of development of quantum computing shouldn't surprise anyone, though. In 2019, IBMs "Coming Soon to Your Business: Quantum Computing" report stated that because quantum mechanics describe how nature works at a fundamental level, quantum computing is well suited to model processes and systems that occur in nature.

According to the report, this potent capability could open the door to, for example, electric carmakers developing longer-life batteries, biotech startups rapidly developing drugs tailored to an individual patient, or more efficient fertilizer manufacturing, with exciting implications for growing the worlds food.

All of this is speculative, of course, and part of the reason why the technology is being dismissed by most enterprises at this time. But while no one has yet delivered a mathematical proof confirming that quantum computing will confer an exponential speedup for optimization problems, the report said, researchers are working on demonstrating this heuristically.

"Forward-thinking companies are already exploring solving optimization problems using quantum computing in their quest to leap ahead of competitors. Their foresight may turn to advantage after the first demonstrations of quantum advantage in optimization are confirmed," the report read.

Related Article:How Close Are IBM's Quantum Computing Predictions to Reality?

There is evidence to suggest that quantum computing is already starting to insinuate itself into the digital workplace.

Jitesh Lalwani, founder of India-basedArtificial Brain, which develops a SaaS platform for businesses, said it's not surprising since many complex problems that cannot be solved by existing computers, including drug discovery, protein folding and last-mile delivery optimization, can be solved by quantum computers. The result is that quantum computers could provide solutions to complex problems across sectors, from finance and healthcare, to logistics and space.

But Big Techs interest in quantum stems from two different possible offerings:

So, who will come out on top? Although it is too early to say this, IBM seems to have a considerable lead over other companies when it comes to hardware and software libraries. Additionally, Lalwani said, there are many quantum startups that lead software development in small companies.

Related Article: Rebooting the Future With Quantum Computing

Trying to identify a top player in a field that has yet to develop may seem a tad premature, according to tech advisor and entrepreneur Vaclav Vincalek of Canada-based 555 vCTO, which advises startups and growing companies on technology. He said that could lead some to believe that quantum computers are production-ready, that they'll replace "classical" computers shortly, and quantum computers are faster.

Quantum computers are still a lab and research thing," he said. "Even the case studies coming from D-Wave, the most advanced quantum computer commercially available today, show that the practical side of quantum computers is years away."

Vincalek said quantum computers will be good at optimization tasks, computational protein design in drug development, financial modeling, traffic optimization, cybersecurity and other specific problems. But will a quantum computer help you with your next project? Probably not yet.

There is still lots of work that all the vendors have to put in to make it, he said.

That does not mean to write them off entirely. CIOs and CTOs seeking new technologies that will provide their company with a competitive edge in five years should consider quantum computing. It may be too early to implement but definitely not too early to start planning to get ahead of the competition.

Related Article: Quantum Computing: Challenges, Trends and the Road Ahead

Travis Lindemoen, managing director of IT staffing companynexus IT Group, said it's not surprising that the tech titans have the know-how and assets to maintain headway in quantum computing.

But the market isn't exactly playing out as expected by many. The industry expected a round of acquisitions and mergers between major corporations and smaller ones in 2021, he said.

"[But] Rigetti and IonQ, the smaller quantum registration equipment continued to operate independently in 2020," he said.

There are numerous explanations for why these firms were not acquired by major industry pioneers in 2021, from a considerable increase in rivalry to the financial impact of the COVID-19 pandemic. Lindemoen said there is still potential for acquisitions in the near future, pointing to the fact that other major equipment manufacturers have entered the quantum market in 2021.

Toshiba Corporation, for example, announced its Quantum Computing Key Distribution (QKD) framework business in October, estimating that its high level cryptographic innovation for information security will generate $3 billion in revenue by 2030.

The simple fact of the matter, Lindemoen said, is that it is still far too early to see who is going to emerge as the top player in the quantum market.

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Is It Too Early to Invest in Quantum Computing? - CMSWire

Finland brings cryostats and other cool things to quantum computing – ComputerWeekly.com

Fundamental physics research in Finland has led to at least six very successful spin-offs that have supplied quantum technology to the global market for several decades.

According to Pertti Hakonen, an academic at Aalto University, it all started with Olli Viktor Lounasmaa, who in 1965 established the low-temperature laboratory at Aalto University, formerly Helsinki University of Technology. He served as lab director for about 30 years, says Pertti Hakonen, professor at Aalto University.

The low-temperature lab was a long-term investment in basic research in low-temperature physics that has paid off nicely. Hakonen, who has been conducting research in the lab since 1979, witnessed the birth and growth of several spin-offs, including Bluefors, a startup that is now by far the market leader in cryostats for quantum computers.

In the beginning, there was a lot of work on different cryostat designs, trying to beat low-temperature records, says Hakonen. Our present record in our lab is 100 pico-kelvin in the nuclei of rhodium atoms. Thats the nuclear spin temperature in the nuclei of rhodium atoms, not in the electrons.

For quantum computing you dont need temperatures this low. You only need 10 milli-kelvin. A dilution refrigerator is enough for that. In the old days, the cryostat had to be in a liquid helium bath. Bluefors was a pioneer in using liquid-free technology, replacing the liquid helium with a pulse tube cooler, which is cheaper in the long run. The resulting system is called a dry dilution refrigerator.

The pulse tube cooler is based on two stages in series. The first stage brings the temperature down to 70 kelvin and the next stage brings it down to 4 kelvin. Gas is pumped down and up continuously, passing through heat exchangers a process that drops the temperature dramatically.

Bluefors started business with the idea of adding closed-loop dilution refrigeration after pulse tube cooling. In 2005 and 2006, pulse tube coolers became more powerful, says David Gunnarsson, CTO at Bluefors. We used pulse tube coolers to pre-cool at the first two stages, which takes you down to around 3 kelvin. We get the pulse tube coolers from an American company called Cryomech.

Bluefors key differentiator is a closed-loop circulation system, the dilution refrigerator stages, where we circulate a mixture of helium 4 and helium 3 gas. At very cold temperatures, this becomes liquid, which we circulate through a series of well-designed heat exchangers. This approach can get the temperature down to below 10 milli-kelvin. This is where our specialty lies going below the 3 kelvin you get from off-the-shelf coolers.

Bluefors has more than 700 units on the market that are used for both research in publicly funded organisations, and for commercial research and development. One big market that has driven the dilution refrigeration is quantum computing. Anyone currently doing quantum computing based on superconducting qubits is most likely to have a Bluefors cryogenic system.

When a customer recognises the need for a cryogenic system, they talk to Bluefors to decide on the size of the refrigerator. This depends on the tasks they want to do and how many qubits they will use. Then they start looking at the control and measurement infrastructure, which must be tightly integrated with the cryogenic system. Some combination of different components and signalling elements might be added, depending on the frequencies being used. If the control and measurement lines are optical, then optical fibres are included.

As soon as Bluefors and the customer reach an agreement, Bluefors begins to produce the cryogenic enclosure, along with a unique set of options tailored to the use case. Bluefors then runs tests to make sure everything works together and that the enclosure reaches and maintains the temperatures required by the application.

The system has evolved since the company first started marketing its products in 2008. To cool down components with a dilution refrigerator, Bluefors uses a cascade approach, with nested structures that drop an order of magnitude in temperature at each level. The typical configuration includes five stages, with the first stage now bringing the temperature down to 50 kelvin. The temperature goes down to about 4 kelvin at the second stage, and reaches 1 kelvin at the third. It then drops to 100 milli-kelvin at the fourth stage, and at the fifth stage gets down to 10 milli-kelvin, or even below.

The enclosure can cool several qubits, depending on the power dissipation and the temperature the customer needs. A challenge here is that the more power dissipates, the higher the temperature is raised, and every interaction can increase the temperature.

Our most powerful model today can probably run a few hundred qubits in one enclosure, says Gunnarsson. IBM has just announced it has a system with 127 qubits. We can handle that many in one enclosure using the most powerful system we have today.

In most architectures, quantum programs work by sending microwave signals to the qubits. The sequence of signals constitutes a program. Then you have to read the outcome at the end.

The user typically has a microwave source at room temperature, says Gunnarsson. Usually, when it reaches the chips, its at power levels of the order of pico-watts, which is all that is needed to drive a qubit. Pico-watts are one trillionth of a watt a very small power requirement.

That is also a power that is very hard to read out at room temperature. So to read the output from a chip, the signal has to be amplified and taken back up to room temperature. A cascade of amplification is required to get the signal to the level you need.

The microwave control signals and the read-out process at the end constitute a cycle that lasts about 100 nanoseconds. Several such cycles occur per second, collectively making up a quantum program.

Another challenge for quantum computing is to get electronics inside the refrigerators. All operations are performed at very low temperatures, but then the result has to be taken up to room temperature to be read out. Wires are needed to start a program and to read results. The problem is that electrical wires generate heat.

This means that quantum computing lends itself only to programs where the results are not read out until the end one of many reasons interactive application such as Microsoft Excel will never be appropriate for the quantum paradigm.

It also means that every qubit needs at least one control line and then one readout line. Multiplexing can be used to reduce the number of readout lines, but there is still a lot of wiring per qubit. The chips themselves are not that large what takes up most space are all the wires and accompanying components. This makes it challenging to scale up refrigeration systems.

Since Bluefors supplies the cryogenic measurement infrastructure, we developed something we call a high-density solution, where we made it possible to have a six-fold increase in the amount of signal lines you can have in our system, says Gunnarsson. Now you can have up to 1,000 signal lines in a Bluefors state-of-the-art system using our current form factor.

One very recent innovation from Bluefors is a modular concept for cryostats, which is used by IBM. The idea is to combine modules and have information exchanged between them. This modular concept is going to be an interesting development, says Aalto Universitys Hakonen, who since the 1970s has enjoyed a front-row view of the development of quantum technology in Finland.

Finland has a very strong tradition in quantum theory in general and specifically, the quantum physics used in superconducting qubits, which is the platform used by IBM and Google. Now a large area of active research is in quantum algorithms.

How one goes about making a program is a key question, says Sabrina Maniscalco, professor of quantum information and logic at the University of Helsinki. Nowadays, the situation is such that programming quantum computing is much more quantum theory-related than any software ever managed or developed. We are not yet at a stage where a programming language exists that is independent of the device on which it runs. At the moment, quantum computers are really physics experiments.

Finland has long been renowned worldwide for its work in theoretical quantum physics, an area of expertise that plays nicely into the industry growing up around quantum computing. Two other factors that contribute to the growing ecosystem in Finland are the willingness of the government to invest in blue-sky research and the famed Finnish education system, which provides an excellent workforce for startups.

The countrys rich ecosystem of research, stable political support and the education system have resulted in the birth and growth of many startups that develop quantum algorithms. This seems like quite an achievement for a country of only five million inhabitants. But in many ways, Finlands small population is an advantage, creating a tight-knit group of experts, some of whom wear several different hats.

Maniscalco is a case in point. In addition to her research into quantum algorithms at the University of Helsinki, she is also CEO of quantum software startup Algorithmiq, which is focused on developing quantum software for life sciences.

We are trying to make quantum computers more like standard computers, but its still at a very preliminary stage Sabrina Maniscalco, University of Helsinki

As a researcher, I am first of all a theorist, she says. I dont get involved in building hardware, but I have a group of several people developing software. Quantum software is as important as hardware nowadays because quantum computers work very differently from classical computers. Classical software doesnt work at all on quantum systems. You have to completely change the way you program computers if you want to use a quantum computer.

We are trying to make quantum computers more like standard computers, but its still at a very preliminary stage. To program a quantum computer, you need quantum physicists who work with computer scientists, and experts in the application domain for example, quantum chemists. You have to start by creating specific instructions that make sense in terms of the physics experiments that quantum computers are today.

Algorithm developers need to take into account the type of quantum computer they are using the two leading types are superconducting qubits and trapped ions. Then they have to look at the quality of the qubits. They also need to know something about quantum information theory, and about the noise and imperfections that affect the qubits the building blocks of quantum computers.

Conventional computers use error correction, says Maniscalco. Thanks to error correction, the results of the computations that are performed inside your laptop or any computer are reliable. Nothing similar currently exists with quantum computers. A lot of people are currently trying to develop a quantum version of these error correction schemes, but they dont exist yet. So you have to find other strategies to counter this noise and the resulting errors.

Overcoming the noisiness of the current generation of qubits is one of many challenges standing in the way of practical quantum computers. Once those barriers are lifted, the work Maniscalco and other researchers in Finland are doing on quantum algorithms will certainly have an impact around the world.

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Finland brings cryostats and other cool things to quantum computing - ComputerWeekly.com