ROHM Completes Demonstration of Manufacturing Process Optimization – by applying Quanmatic's <span style='color:red'>Quantum</span> Technology
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ROHM Completes Demonstration of Manufacturing Process Optimization – by applying Quanmatic's Quantum Technology

　　From January 2023, ROHM has been collaborating with Quanmatic to introduce quantum technology into the EDS (Electrical Die Sorting) process, conducting demonstrations aimed at optimizing combinations during manufacturing. Today, ROHM and Quanmatic announce that, as certain benchmarks have been met regarding production efficiency, both companies plan on carrying out full-scale implementation in April 2024. This represents the world's first demonstration of manufacturing process optimization using quantum technology in a large-scale mass production line at a semiconductor manufacturing plant.　　In recent years, the use of quantum technology has been explored in various fields, in particular quantum annealing methods*2 being introduced in the area of combinatorial optimization, such as for delivery route optimization in the logistics industry. At the same time, in the semiconductor industry, as the manufacturing process becomes more extensive the possible combinations increase exponentially. On top, the large number of constraints makes it hard to obtain an optimal solution. Therefore, the application of quantum technology was limited to processes on a scale that could be approximated by classical computers.　　For example, in the EDS process, the number of combinations involving manufacturing devices, test equipment/conditions, and other factors is so large despite being only a part of the entire system. This made it extremely difficult to derive a solution that optimizes the manufacturing process. As a result, in the past it was common to perform operations (process allocation) based on basic calculation rules, utilizing accumulated knowledge and expertise.　　In this context, in January 2023 ROHM and Quanmatic began exploring an operating system using quantum solutions that take into account various constraints in the EDS process. In September 2023 both companies succeeded in building a prototype by combining Quanmatic’s product that improves quantum computing efficiency based on research conducted at Waseda University and Keio University together with a computational framework. The specialized formulation technology involved leverages quantum and classical computation techniques as well as the vast knowledge, expertise, and data accumulated by ROHM to date.　　After testing and validating the prototype at ROHM’s domestic and overseas factories, the results showed that key performance indicators such as utilization and delivery delay rates could be improved by several percentage points. In addition, implementing algorithm significantly reduces computation time, enabling timely and optimal operation in response to changes in manufacturing conditions.　　Going forward, both companies will work to further deepen their collaboration to improve the accuracy of the manufacturing system through a series of trial operations at overseas plants, with the goal of full-scale introduction in April 2024.　　Nozomu Togawa, CSO and Co-Founder of Quanmatic / Professor, Faculty of Science and Engineering, Waseda University“This result is an example of a highly mathematical optimization calculation method researched at a university being applied in the real world. The aim: Providing semiconductor products through a supply chain that is continually optimized on a daily basis using quantum-related methods – which holds great significance as a large-scale practical application of quantum technology. We believe that the accumulation of such achievements will lay the foundation for realizing the Japanese government’s ‘Future Vision of a Quantum Society’ (a society in which 10 million people will be using quantum technology by 2030).”　　Tetsuo Tateishi, Member of the Board, Senior Corporate Officer and CTO, ROHM Co., Ltd.“As the role of semiconductors becomes increasingly important to achieving a decarbonized society, ensuring stable supply has become a societal issue. The development of an operational system suitable for large-scale mass production lines using quantum technology represents a major step forward for the semiconductor manufacturing industry, enabling real-time optimization of production processes. Going beyond the current situation, we will accelerate the introduction of quantum technology and related methods into a wide range of processes, with the goal of strengthening our stable supply system by establishing a more holistically optimized supply chain.”　　*1) Electrical Die Sorting - A process for testing the electrical characteristics of chips formed on wafers, essential for ensuring the reliability and improving the yield of semiconductor devices.　　*2) Technology proposed by Professor Hidetoshi Nishimori of the Tokyo Institute of Technology that sparked the quantum computing boom when it was offered commercially for the first time in the world by Canada’s D-Wave Systems in 2011. It is considered to be close to social implementation due to its strength in solving combinatorial optimization problems that narrow down application focus.　　■About QuanmaticA startup founded in October 2022 by CEO Sumitaka Koga, CTO Shu Tanaka (an Associate Professor of Keio University), and CPO Yosuke Mukasa based on the research of Professor Nozomu Togawa (CSO) of Waseda University, Quanmatic provides computer science algorithms for utilizing quantum-related technologies. With the vision of ‘creating a world where quantum technology is accessible to all,’ Quanmatic continues to develop optimization engines that apply algorithmic intellectual property to business problems while deploying efficient solutions for general-purpose quantum computing technology independent of hardware dependencies.
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Release time：2023-12-21 16:36 reading：1522 Continue reading>>
<span style='color:red'>Quantum</span> Dots to Shrink MicroLED Display Pixels
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Quantum Dots to Shrink MicroLED Display Pixels

 Nanoco Technologies and Plessey Semiconductors have partnered to shrink the pixel size of monolithic microLED displays using Nanoco’s cadmium-free quantum-dot (CFQD quantum dots) semiconductor nanoparticle technology.Using its existing gallium nitride (GaN)-on-silicon monolithic process, Plessey will integrate the CFQD quantum dots into selected regions of blue LED wafers to add red and green light, shrinking the smallest practical pixel size from today’s 30 µm to 4 µm, a reduction of 87%. The process will enable the production of smaller, higher-resolution microLED displays in applications such as AR/VR devices, watches, and mobile devices while enhancing both color rendition and energy efficiency.Speaking to EE Times from CES, the companies said that the partnership brings together two sets of expertise to address the color conversion needs of microLED customers — Nanoco with its expertise in manufacturing quantum dots at scale and Plessey for its microLED displays. The key challenge was being able to pattern the quantum dots appropriately on the photoresist and making sure the quantum dots were compatible with other materials used in the manufacturing process for the displays, they said.The primary initial application is the head-mounted display for AR and VR, such as in gaming, where customers want specific color ranges and gamuts. Mike Lee, president of corporate and business development at Plessey, said that one specific customer in this area is planning to launch products in 2020 using its quantum-dot–based microLED displays.At CES, Plessey and Nanoco showed individual red, green and blue microLED arrays based on quantum dots. (Source: Plessey)“We pioneered the molecular seeding technology and separated nucleation and growth: This ability to manage the growth phase separately meant it was easier to scale up to volume production of quantum dots," said Brian Gally, Nanoco’s head of products.Lee said the quantum dots are applied onto microLED arrays using an inkjet process, for which the two companies will file a joint patent. “Quantum dots offer the best solution for today’s emerging display requirements," Lee said. "The nano-sized emitters with narrow band emission make them a suitable solution for Plessey’s microLED display roadmap, which will see pixels being driven down to 4 µm in size in 2019.”Lee added that because the company has its own GaN-on-silicon fab, Plessey has been able to optimize the process to achieve very good wavelength uniformity across the 8-inch wafer as well as the ability to add red and green to the native blue GaN silicon.For pixels of 30 µm or greater, color conversion is currently performed by adding phosphors to the blue die. However, because the smallest phosphor particle is about 30 µm, the efficiency of color conversion deteriorates as the pixel size shrinks. Nanoco’s CFQD quantum-dot technology overcomes this limitation while facilitating efficient, compact device packaging.Quantum dots are fluorescent semiconductor nanoparticles typically between 10 to 100 atoms in diameter, about 1/1000th the width of a human hair. When one of these particles is excited by an external light source, it absorbs the energy and re-emits the light in a different color, depending on the size of the particle. Therefore, by tuning the size of these particles, it is possible to control the color of light emitted to any color in the spectrum. Quantum dots are energy-efficient, with applications spanning from LCD displays and lighting to biomedical applications. Nanoco’s technology allows for the manufacture of quantum dots that are completely cadmium- and heavy-metal–free.Plessey said that compared with other display technologies, microLEDs are brighter, smaller, lighter, and more energy-efficient and have a longer operating life. Where they replace OLEDs — for example, in AR/VR goggles or head-up displays — Plessey claims that its microLEDs offer 10 times the resolution, 100 times the contrast ratio, and up to 1,000 times the luminance. They do so at half the power consumption, doubling battery life in portable devices. They also feature perfect blacks, realistic color, and immunity to burn-in or decay over time.
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Release time：2019-01-14 00:00 reading：1114 Continue reading>>
Imec, CEA-Leti Form AI and <span style='color:red'>Quantum</span> Computing Hub
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Imec, CEA-Leti Form AI and Quantum Computing Hub

Two of Europe’s key electronics and nanotechnologies research institutes — imec in Belgium and CEA-Leti in France — will collaborate to develop a European hub for artificial intelligence and quantum computing.As security and privacy issues rise up the agenda in almost every organization, the race is on to process more at the edge and put more intelligence at endpoints. For electronics systems design, most of the major chip companies now offer or are developing deep learning and edge AI devices or intellectual property. The edge AI devices are often complete computer sub-systems displaying intelligent behavior locally on the hardware devices (chips), analyzing their environment and taking required actions to achieve specific goals.Edge AI is considered now to hold the promise of solving many societal challenges — from treating diseases that cannot yet be cured today, to minimizing the environmental impact of farming. Decentralization from the cloud to the edge is a key challenge of AI technologies applied to large heterogeneous systems. This requires innovation in the components industry with powerful, energy-guzzling processors.This is where imec and CEA-Leti hope to develop a European center of excellence. The two organizations signed a memorandum of understanding during the state visit of French president Emmanuel Macron to Belgium, laying the foundation for a strategic partnership in AI and quantum computing, two key strategic value chains for European industry, to strengthen European strategic and economic sovereignty.The joint efforts of imec and CEA-Leti underline Europe’s ambition to take a leading role in the development of these technologies. The research centers’ increased collaboration will focus on developing, testing and experimenting neuromorphic and quantum computing — and should result in the delivery of a digital hardware computing toolbox that can be used by European industry partners to innovate in a wide variety of application domains — from personalized healthcare and smart mobility to the new manufacturing industry and smart energy sectors."The ability to develop technologies such as AI and quantum computing — and put them into industrial use across a wide spectrum of applications —  is one of Europe’s major challenges," said Luc Van den hove, president and CEO of imec, in a press statement. "Both quantum and neuromorphic computing (to enable artificial intelligence) are very promising areas of innovation, as they hold a huge industrialization potential.”  Van den hove said a stronger collaboration in these domains between imec and CEA-Leti would help to speed up the technologies’ development time, providing them with the critical mass needed to create faster impact.Emmanuel Sabonnadière, CEA-Leti CEO, said the collaboration with imec as well as previous innovation-collaboration agreements with Germany's the Fraunhofer Group for Microelectronics "will focus all three institutes to the task of keeping Europe at the forefront of new digital hardware for AI, HPC and cyber-security applications.”Imec and CEA-Leti are inviting partners from industry as well as academia to join them and benefit from access to the research centers’ technology —  enabling a much higher degree of device complexity, reproducibility and material perfection while sharing the costs of precompetitive research.
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Release time：2018-11-22 00:00 reading：1190 Continue reading>>
Imec and CEA-Leti join forces on Artificial Intelligence and <span style='color:red'>Quantum</span> Computing
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Imec and CEA-Leti join forces on Artificial Intelligence and Quantum Computing

The Belgian research centre imec and the French research institute CEA-Leti, two leading research and innovation hubs in nanotechnologies for industry, have signed a memorandum of understanding (MoU) that lays the foundation of a strategic partnership in the domains of Artificial Intelligence and quantum computing.The joint efforts of imec and CEA-LETI underline Europe’s ambition to take a leading role in the development of these technologies and this increased collaboration will focus on developing, testing and experimenting neuromorphic and quantum computing – and should result in the delivery of a digital hardware computing toolbox that can be used by European industry partners to innovate in a wide variety of application domains – from personalised healthcare and smart mobility to the new manufacturing industry and smart energy sectors.Edge Artificial Intelligence (eAI) commonly refers to computer systems that display intelligent behavior locally on the hardware devices (e.g chips). They analyse their environment and take the required actions to achieve specific goals.Edge AI is poised to become a key driver of economic development. And, even more importantly perhaps, it holds the promise of solving many societal challenges – from treating diseases that cannot yet be cured today, to minimising the environmental impact of farming.Decentralisation from the cloud to the edge is a key challenge of AI technologies applied to large heterogeneous systems. This requires innovation in the components industry with powerful, energy-guzzling processors.“The ability to develop technologies such as AI and quantum computing – and put them into industrial use across a wide spectrum of applications – is one of Europe’s major challenges. Both quantum and neuromorphic computing (to enable artificial intelligence) are very promising areas of innovation, as they hold a huge industrialisation potential,” said Luc Van den hove, president and CEO of imec.“A stronger collaboration in these domains between imec and CEA-Leti, two of Europe’s leading research centers, will undoubtedly help to speed up the technologies’ development time: it will provide us with the critical mass that is required to create more – and faster – impact, and will result in plenty of new business opportunities for our European industry partners.”“Two European microelectronics pioneers today are joining forces to raise the game in both high-performance computing and trusted AI at the edge, and ultimately to fuel European industry success through innovations in aeronautics, defence, automobiles, Industry 4.0 and health care,” said Emmanuel Sabonnadière, Leti CEO. “This collaboration with imec following earlier innovation-collaboration agreements with the Fraunhofer Group for Microelectronics of the Fraunhofer-Gesellschaft, the largest organization for applied research, will focus all three institutes to the task of keeping Europe at the forefront of new digital hardware for AI, HPC and Cyber-security applications.”Imec and CEA-Leti are inviting partners from industry as well as academia to join them and benefit from access to the research centers’ state-of-the-art technology with proven reproducibility – enabling a much higher degree of device complexity, reproducibility and material perfection while sharing the costs of precompetitive research.
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Release time：2018-11-21 00:00 reading：1024 Continue reading>>
Tuning into quantum: Scientists unlock signal frequency control of precision atom qubits
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Tuning into quantum: Scientists unlock signal frequency control of precision atom qubits

Australian scientists have achieved a new milestone in their approach to creating a quantum computer chip in silicon, demonstrating the ability to tune the control frequency of a qubit by engineering its atomic configuration. The work has been published in Science Advances.A team of researchers from the Centre of Excellence for Quantum Computation and Communication Technology (CQC2T) at UNSW Sydney have successfully implemented an atomic engineering strategy for individually addressing closely spaced spin qubits in silicon.The frequency spectrum of an engineered molecule. The three peaks represent three different configurations of spins within the atomic nuclei, and the distance between the peaks depends on the exact distance between atoms forming the molecule. Credit: Dr. Sam HileThe researchers built two qubits – one an engineered molecule consisting of two phosphorus atoms with a single electron, and the other a single phosphorus atom with a single electron – and placed them just 16 nanometres apart in a silicon chip.By patterning a microwave antenna above the qubits with precision alignment, the qubits were exposed to frequencies of around 40GHz. The results showed that when changing the frequency of the signal used to control the electron spin, the single atom had a dramatically different control frequency compared to the electron spin in the molecule of two phosphorus atoms.The UNSW researchers collaborated closely with experts at Purdue University, who used powerful computational tools to model the atomic interactions and understand how the position of the atoms impacted the control frequencies of each electron even by shifting the atoms by as little as one nanometre.“Individually addressing each qubit when they are so close is challenging,” says UNSW Scientia Professor Michelle Simmons, Director CQC2T and co-author of the paper.“The research confirms the ability to tune neighbouring qubits into resonance without impacting each other.”Creating engineered phosphorus molecules with different separations between the atoms within the molecule allows for families of qubits with different control frequencies. Each molecule can be operated individually by selecting the frequency that controls its electron spin.“We can tune into this or that molecule – a bit like tuning in to different radio stations,” says Sam Hile, lead co-author of the paper and Research Fellow at UNSW.“It creates a built-in address which will provide significant benefits for building a silicon quantum computer.”Tuning in and individually controlling qubits within a 2 qubit system is a precursor to demonstrating the entangled states that are necessary for a quantum computer to function and carry out complex calculations.These results show how the team – led by Professor Simmons – have further built on their unique Australian approach of creating quantum bits from precisely positioned individual atoms in silicon.By engineering the atomic placement of the atoms within the qubits in the silicon chip, the molecules can be created with different resonance frequencies. This means that controlling the spin of one qubit will not affect the spin of the neighbouring qubit, leading to fewer errors – an essential requirement for the development of a full-scale quantum computer.“The ability to engineer the number of atoms within the qubits provides a way of selectively addressing one qubit from another, resulting in lower error rates even though they are so closely spaced,” says Professor Simmons.“These results highlight the ongoing advantages of atomic qubits in silicon.”This latest advance in spin control follows from the team’s recent research into controllable interactions between two qubits.
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Release time：2018-07-17 00:00 reading：1110 Continue reading>>
Semiconductor quantum transistor opens the door for photon-based computing
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Semiconductor quantum transistor opens the door for photon-based computing

Researchers from the University of Maryland claim to have demonstrated the first single-photon transistor using a semiconductor chip.Making a quantum transistor triggered by light has been a previous challenge because it requires that the photons interact with each other, the researchers explain.According to the team, the device is compact: roughly one million of these new transistors could fit inside a single grain of salt. It is also fast and able to process 10billion photonic qubits every second."Using our transistor, we should be able to perform quantum gates between photons," says Professor Edo Waks of the University of Maryland's A. James Clark School of Engineering and Joint Quantum Institute. "Software running on a quantum computer would use a series of such operations to attain exponential speedup for certain computational problems.The photonic chip is made from a semiconductor with numerous holes in it. Light entering the chip bounces around and gets trapped by the hole pattern; a quantum dot sits inside the area where the light intensity is strongest.Analogous to conventional computer memory, the dot stores information about photons as they enter the device. The dot can effectively tap into that memory to mediate photon interactions, meaning that the actions of one photon affect others that later arrive at the chip."In a single-photon transistor the quantum dot memory must persist long enough to interact with each photonic qubit," says Shuo Sun, lead author of the new work. "This allows a single photon to switch a bigger stream of photons, which is essential for our device to be considered a transistor."To test that the chip operated like a transistor, the researchers examined how the device responded to weak light pulses that usually contained only one photon. In a normal environment, such dim light might barely register, however, in this device, a single photon gets trapped for a long time, registering its presence in the nearby dot.The team observed that a single photon could, by interacting with the dot, control the transmission of a second light pulse through the device. The first light pulse acts like a key, opening the door for the second photon to enter the chip. If the first pulse didn't contain any photons, the dot blocked subsequent photons from getting through. This behaviour is similar to a conventional transistor where a small voltage controls the passage of current through its terminals. Here, the researchers successfully replaced the voltage with a single photon and demonstrated that their quantum transistor could switch a light pulse containing around 30 photons before the quantum dot's memory ran out.Prof Waks says that his team had to test different aspects of the device's performance prior to getting the transistor to work. "Until now, we had the individual components necessary to make a single photon transistor, but here we combined all of the steps into a single chip.”Sun says that with realistic engineering improvements their approach could allow many quantum light transistors to be linked together. The team hopes that such speedy, highly connected devices will eventually lead to compact quantum computers that process large numbers of photonic qubits.
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Release time：2018-07-10 00:00 reading：1117 Continue reading>>
IBM <span style='color:red'>Quantum</span> Woos Fortune 500
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IBM Quantum Woos Fortune 500

　　Fortune 500 companies, academic institutions and national research labs are signing up to use IBM's quantum computers — called IBM Q — hosted in the cloud.　　JPMorgan Chase, Daimler AG, Samsung, JSR Corp., Barclays, Hitachi Metals, Honda, Nagase, Keio University, Oak Ridge National Lab, Oxford University and University of Melbourne are the first commercial members of the IBM Q cloud based pay-as-you-go IBM Q Network service.　　Already publicly available as the IBM Q Experience, IBM has freely made quantum computing available to more than 60,000 users who have run more than 1.7 million quantum experiments which resulted in more than 35 third-party scholarly publications. IBM’s open source quantum software and developer tools are also made freely available to users.　　Five IBM Q Network hubs, which serve quantum computer users worldwide via IBM Q Systems, will be located at IBM Research in the United States (already in operation), Keio University in Japan, Oak Ridge National Lab (already in operation) in the United States, Oxford University in the United Kingdom and the University of Melbourne in Australia.　　The IBM Q Network today sports a 20-qubit universal quantum computer — the IBM Q system — which it plans to upgrade to a 50-qubit system, in prototype today, that will be able to solve non-deterministic polynomial-time hard problems that are impossible to solve on even the fastest supercomputers today.　　Problems that foil supercomputers today are the big attraction for the wide variety of companies signing up for the IBM Q Network service. For instance, JPMorgan Chase plans to solve difficult financial industry problems such as trading strategies, portfolio optimization, asset pricing and risk analysis. Daimler AG will solve difficult automotive and transportation problems, including new material inventions, using quantum chemistry, manufacturing process optimization, vehicle routing for fleets, autonomous/self-driving car control, quantum-level machine learning and artificial intelligence (AI). Samsung is already working with IBM Q to identify the most important use-cases for using quantum computers in semiconductors and electronics. Likewise, Barclays, Hitachi Metals, Honda and Nagase will investigate potential use cases for their respective industries of finance, materials, automotive and chemistry.　　IBM Q Consulting services are also offering consultants, scientists and industry experts to help IBM Q Network get a leg up on how quantum computing can be useful in their industries. IBM is also building an ecosystem which has already registered more than 1,500 universities, 300 high schools and 300 private institutions worldwide to include quantum computing in their educational curriculums.
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Release time：2017-12-18 00:00 reading：1152 Continue reading>>
IBM's <span style='color:red'>Quantum</span> Computer Goes Commercial
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IBM's Quantum Computer Goes Commercial

　　IBM's quantum computer — free online as IBM's Q — is going commercial at the Supercomputing Conference 2017 this week in Denver.　　Q's  now time-proven capabilities, attained from the free trial period, will still be cloud hosted with a ready-to-go 20-qubit version and a 50-qubit prototype that demonstrates how to solve NP Hard (non-deterministic polynomial-time hard) problems impossible for the fastest supercomputer today.　　IBM will also provide an open-source quantum information software kit (QIS-Kit). The key to its QIS-Kit is you don't need a quantum computer to compose and debug your quantum application software, but can prove its correctness first on a conventional computer. Once debugged, the software can be assured to achieve its desired goals with NP-Hard problems. In fact, IBM claims over 60,000 users have beta-tested and debugged their QIS-Kit on over 1.7 million quantum application programs.　　IBM will also be displaying at SC 2017 specialty programs built for simulating chemical reactions on quantum computers, for everything from new catalyst development to drug discovery. It claims the key to its success was perfecting error-detecting fault tolerance code for that work on prototypes with up to 56-qubits.　　In more detail, IBM's Q Systems cannot attain coherence times (the time before the quantum states relax into an answer) of over 90 microseconds, allowing their 20-to-50 qubit systems the time to solve extremely complex applications impossible for conventional supercomputers.　　IBM first launched its first free-to-try cloud-based working 5-to-16 qubit quantum computer in May 2016, and now just 18 months has upgraded the IBM Q experience to 20-qubits with 50-qubits next in line. IBM's 60,000 beta-testers included 1,500 universities, 300 high schools and 300 private-sector participants.　　IBM Data Science Experience, a compiler that maps desired experiments onto the available hardware, has worked examples of quantum applications. It has also worked quantum computing concepts and application development principles into its QISKit tutorials. And besides its chemistry simulations for development of new catalysts and drug discovery, the tutorials also provided implementation details for optimization problems.　　IBM describes Q as an industry-first initiative to build commercially available universal quantum computing systems for business and science applications. 
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Release time：2017-11-14 00:00 reading：1277 Continue reading>>
Commercial <span style='color:red'>Quantum</span> Computing Pushes On
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Commercial Quantum Computing Pushes On

　　Intel Labs has announced 17-qubit CMOS superconducting demonstration platform that it says brings quantum computing closer to commercial development. Intel delivered the prototype this week to research partner QuTech (Delft, Netherlands), which will test it on a suite of quantum algorithms to prove the design’s commercial relevance.　　Intel entered the quantum computer race in 2015, when it invested $50 million to advance quantum computing in a collaborative development effort with QuTech. The researchers aim to accelerate the development of commercially useful quantum computers by pairing Intel’s CMOS design and manufacturing expertise with QuTech’s expertise in connecting, controlling, and measuring multiple, entangled qubits.　　At this year’s International Solid-State Circuits Conference (ISSCC 2017), the collaborators demonstrated key circuit blocks for an integrated cryogenic-CMOS control system that cools to 20 milli-Kelvin (250 times colder than deep space), presenting their work in a paper titled “15.5 Cryo-CMOS circuits and systems for scalable quantum computing.” They have also demonstrated a scalable “surface code” error-correction scheme that enables spatial multiplexing, describing that work in an American Physical Society (APS) paper co-authored by multiple QuTech engineers and David Michalak, a quantum computing researcher-in-residence at Intel.　　The research collaborators are working on two parallel efforts to perfect quantum values: a spin-qubit fabrication flow on Intel’s 300-millimeter CMOS process and the packaging advances in the superconducting prototype announced this week. With the new packaging system (see photos), the prototype realizes 17 qubits for quantum computing via an architecture that supports full error correction, improves yield, and boosts performance, according to Intel.　　Managing the effort at Intel is a duo dubbed “a superposition of two Jims” by Intel colleagues: Jim Clarke, director of quantum hardware, and Jim Held, director of emerging technology research. (Superposition, the founding principle of quantum computing, is the ability to harness two values — 1 and 0 — simultaneously in a single qubit.)　　“Intel’s quantum computer hardware is relatively young, but it is moving fast,” said Clarke. “I liken it to the Apollo mission, which against all odds reached the moon in just a few years. Likewise, the Intel-QuTech collaboration is a quick dash to commercial quantum computers.”　　Held said the collaborative program is assembling “an entire software stack for quantum algorithms, from qubit operations to the hardware and software architectures required and the quantum applications themselves. In 2016, we built a large-scale qubit simulator with 42 qubits — since extended to 45 qubits — running on an Intel supercomputer, so that we have a platform to develop quantum software that is ready for use at the same time our quantum hardware is ready for commercialization."　　Intel claims its quantum computer architecture solves many of the problems encountered over the years by other teams, such as those at D-Wave Systems Inc., Google Labs, IBM, Microsoft Labs, Quantum Circuits Inc., Rigetti Computing, and the U.S. National Institute of Standards and Technology (NIST).　　For instance, instead of cooling its hardware to a consistent temperature, such as the easily obtained temperature of liquid nitrogen (77 K, or –320 F) or even that of liquid helium (4 K, or –452 ), Intel used various helium isotopes to cool its qubits to extremely low temperatures (20 mK, or –459 F). The goal of the extreme cooling is a more error-free, and thus more commercially relevant, design, Clarke said.　　“However, the key circuit blocks for our integrated cryogenic-CMOS control system only need the more easily obtainable cooling to 4 K,” he said.　　Intel has also moved away from the standard wire bonding techniques that other labs have used for quick proof-of-concept demonstrations, instead opting for a scalable method that enables 10 to 100 times more signals into and out of the qubits.　　“We have codesigned the chip and its package for the long term, in order to realize a quantum computer that will be more commercially relevant and more general-purpose and that will ultimately add significantly to Intel’s bottom line at the end of the quantum computer race,” said Clarke. Whereas D-Wave, for example, is pursuing quantum annealing to solve optimization problems, Intel aims to solve many more problems that have proved intractable for conventional digital computers. Nonetheless, Intel has stopped short of promising a “universal” quantum computer that would solve all such problems.　　Intel’s Components Research group in Oregon and its Assembly Test and Technology Development team in Arizona collaborated on the codesign of the chip and packaging technologies, which minimize the radio-frequency (RF) interference between qubits.　　Of course, Intel’s 17-qubit superconducting chip is just a proof of concept; D-Wave, in contrast, has leapt from 1,000 to 2,000 superconducting qubits this year to solve commercial optimization problems using quantum annealing. Intel says it chose 17 qubits as the minimum number necessary to prove its surface-code error-correction scheme, which it says would be scalable to commercially relevant quantum computers with spatial multiplexing.
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Release time：2017-10-12 00:00 reading：1150 Continue reading>>
Synopsys Buys Materials Modeling Tool Firm <span style='color:red'>Quantum</span>Wise
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Synopsys Buys Materials Modeling Tool Firm QuantumWise

　　EDA and IP vendor Synopsys Inc. has acquired QuantumWise, a provider of simulation tools for materials modeling in early manufacturing process development. Financial terms of the deal were not disclosed.　　Synopsys (Mountain View, Calif.) said the deal would help it support chip makers, which are evaluating new materials to extend Moore's law and develop novel memories. Synopsys said the QuantumWise solution reduces time and cost by enabling earlier co-optimization of materials, processes, devices and circuits for 5nm and beyond.　　QuantumWise, founded in 2008, in based in Denkark. The company claims more than 400 commercial and academic customers worldwide for its tools for atomic-scale modeling of materials.　　The QuantumWise tools simulate the properties of materials based on fundamental quantum mechanical theories to improve product performance across many applications, including semiconductors and electronics.　　Howard Ko, general manager of Synopsys' Silicon Engineering Group, said through a press statement that the company has worked closely with customers over the past year to define links between Synopsys' Sentaurus TCAD tools and the atomistic modeling of materials with the QuantumWise tools. Integration between the two provides seamless flow from materials to transistor by creating models for TCAD process and device simulation, according to Synopsys.　　"This acquisition now gives us the opportunity to accelerate the application of this critical technology to address the challenges in technology development of advanced process nodes," Ko said.
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Release time：2017-09-20 00:00 reading：2604 Continue reading>>

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