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Quantum Annealing could help solve fundamental questions in nuclear physics

A new study led by a physicist at Berkeley Lab details how a quantum computing technique called “quantum annealing” can be used to solve problems relevant to fundamental questions in nuclear physics about the subatomic building blocks of all matter. As described in the journal Scientific Reports, it could also help answer other vexing questions in science and industry, too.

Virginia Tech researchers lead breakthrough in quantum computing

Large, error-correcting quantum computers envisioned today could be decades away, yet experts are vigorously trying to come up with ways to use existing and near-term quantum processors to solve useful problems despite limitations due to errors or noise. “Now, the Virginia Tech team is devising an algorithm that can more efficiently calculate the properties of molecules on a noisy quantum computer.”

Podcast: Quantum Applications are Always Hybrid

In this podcast, the Radio Free HPC team looks at inherently hybrid nature of quantum computing applications. “If you’re always going to have to mix classical code with quantum code then you need an environment that is built for that workflow, and thus we see a lot of attention given to that in the QIS (Quantum Information Science) area. This is reminiscent of OpenGL for graphics accelerators and OpenCL/CUDA for compute accelerators.”

New Paper Surveys Micron’s Automata Processor

“Micron’s automata processor (AP) exploits massively parallel in-memory processing capability of DRAM for executing NFAs and hence, it can provide orders of magnitude performance improvement compared to traditional architectures. This paper presents a survey of techniques that propose architectural optimizations to AP and use it for accelerating problems from various application domains such as bioinformatics, data-mining, network security, natural language, high-energy physics, etc.”

Intel Labs Unveils Pohoiki Beach 64-Chip Neuromorphic System

At the DARPA ERI summit this week, Intel Labs director Rich Uhlig unveiled “Pohoiki Beach” – a 64-Loihi Chip Neuromorphic system capable of simulating eight million neurons. Now available to the broader research community, the Pohoiki Beach enables researchers to experiment with Intel’s brain-inspired research chip, Loihi, which applies the principles found in the biological brains to computer architectures. 

John Shalf from LBNL on Computing Challenges Beyond Moore’s Law

In this special guest feature from Scientific Computing World, Robert Roe interviews John Shalf from LBNL on the development of digital computing in the post Moore’s law era. “In his keynote speech at the ISC conference in Frankfurt, Shalf described the lab-wide project at Berkeley and the DOE’s efforts to overcome these challenges through the development acceleration of the design of new computing technologies.”

Rigetti Computing acquires QxBranch for Quantum-powered Analytics

Today Rigetti Computing announced it has acquired QxBranch, a quantum computing and data analytics software startup. “Our mission is to deliver the power of quantum computing to our customers and help them solve difficult and valuable problems,” said Chad Rigetti, founder and C.E.O. of Rigetti Computing. “We believe we have the leading hardware platform, and QxBranch is the leader at the application layer. Together we can shorten the timeline to quantum advantage and open up new opportunities for our customers.”

IQM Startup in Finland Developing Fault-tolerant Quantum Processor

A new startup called IQM in Finland aims to drive disruptive advancements in quantum computing. A spinout from Aalto University and the VTT Technical Research Centre of Finland, IQM is developing high-speed quantum processors to reduce the error rates currently limiting quantum computers. “IQM’s fault-tolerant quantum processor architecture will open the door for more powerful computationally intensive tasks. The talented team is set to enable a unique quantum cloud offering and ignite a stronger quantum software eco-system in Europe.”

Jülich Supercomputing Centre Announces Quantum Computing Research Partnership with Google

Today the Jülich Supercomputing Centre announced it is partnering with Google in the field of quantum computing research. The partnership will include joint research and expert trainings in the fields of quantum technologies and quantum algorithms and the mutual use of quantum hardware. “The German research center will operate and make publicly accessible a European quantum computer with 50 to 100 superconducting qubits, to be developed within the EU’s Quantum Flagship Program, a large-scale initiative in the field of quantum technologies funded at the 1 billion € level on a 10 years timescale.”

Flexibly Scalable High Performance Architectures with Embedded Photonics

Keren Bergman from Columbia University gave this talk at PASC19. “Data movement, dominated by energy costs and limited ‘chip-escape’ bandwidth densities, is a key physical layer roadblock to these systems’ scalability. Integrated silicon photonics with deeply embedded optical connectivity is on the cusp of enabling revolutionary data movement and extreme performance capabilities.”