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Intel to Invest $50 Million in Quantum Computing

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Today Intel announced a 10-year collaborative relationship with the Delft University of Technology and TNO, the Dutch Organization for Applied Research, to accelerate advancements in quantum computing. To achieve this goal, Intel will invest US$50 million and will provide significant engineering resources both on-site and at Intel, as well as technical support. “Quantum computing holds the promise of solving complex problems that are practically insurmountable today, including intricate simulations such as large-scale financial analysis and more effective drug development.”

D-Wave 2X Quantum Computer Goes GA with 1000+ Qubits

D-Wave 2X Quantum Computer

Today D-Wave Systems announced the general availability of the D-Wave 2X quantum computing system. The D-Wave 2X features a 1000+ qubit quantum processor and numerous design improvements that result in larger problem sizes, faster performance and higher precision. At 1000+ qubits, the D-Wave 2X quantum processor evaluates all 21000 possible solutions simultaneously as it converges on optimal or near optimal solutions, more possibilities than there are particles in the observable universe. No conventional computer of any kind could represent this many possibilities simultaneously, further illustrating the powerful nature of quantum computation.

D-Wave Breaks 1000 Qubit Quantum Computing Barrier

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“Temperature, noise, and precision all play a profound role in how well quantum processors solve problems. Beyond scaling up the technology by doubling the number of qubits, we also achieved key technology advances prioritized around their impact on performance.”

Two More Steps Towards Quantum Computing

Correlated syndrome single-shot histograms and quantum state tomography of code qubits.

Quantum computing has taken a step closer with two recent announcements demonstrating methods for error correction in addition to a new scalable design for quantum circuits based on a lattice structure.

ANSYS Powers Quantum Computing Engineering at D-Wave

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D-Wave Systems reports that the company is designing and building the world’s most advanced quantum computers with help from engineering simulation solutions from ANSYS. This next generation of supercomputers uses quantum mechanics to massively accelerate computation and has the potential to solve some of the most complex computing problems facing organizations today.

Supercomputing Quantum Mechanics

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Supercomputers in the USA, Europe, and Japan have proved indispensable for research into the effects of quantum mechanics at hugely different length scales.

Interview: D-Wave Systems Steps Up With Quantum Computing

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“We’ve grown substantially and matured as a company. We’ve expanded our customer base. We’ve hired many talented people who have strengthened our core technical, administrative, legal, and management teams. We’re in the final stages of perfecting the design of our next generation, “Washington”, quantum processor. We’ve cemented new business relationships with companies, including 1QBit, DNA-SEQ, and QxBranch, aiming to develop software for our platform. And we have gained a deeper understanding of the best ways to harness quantum computing resources.”

Radio Free HPC Sorts Through the News Grab Bag

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In this episode, the Radio Free HPC team digs into the Grab Bag for Topics of the Week. Dan attended the Lenovo Analyst Conference, and they have him convinced that the company is Going Big on HPC. Rich notes that D-Wave Systems has just landed an additional $29 Million in financing. Is Quantum Computing ready for Prime Time? Finally, Henry is looking forward to seeing what the President’s science priorities are going to be when his budget comes out this week.

D-Wave Systems Raises $29M for Quantum Computing

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Today D-Wave Systems announced that it has closed $29 million in funding to accelerate development of the company’s quantum hardware and software.

Video: High Performance Quantum Computing

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In this video, Matthias Troyer speaks at Google on the topic of “High Performance Quantum Computing.” The presentation took place on December 2, 2014.