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Primeur weekly 2017-02-27

Focus

Square Kilometre Array data crunching will require compute power beyond Moore's Law ...

Exascale supercomputing

ADIOS Version 1.11 moves I/O framework from research to production ...

Focus on Europe

Microsoft researcher tapped for opening keynote at ISC 2017 ...

Atos acquires zData, a premier consulting firm with unparalleled expertise in Big Data solutions ...

HPC5 consortium now registered as official Digital Hub with I4MS ...

Middleware

HPE and Red Hat join forces to give customers greater choice for NFV deployments ...

Hardware

Tokyo Tech supercomputer TSUBAME3.0 scheduled to start operating in summer 2017 ...

NASA saves energy and water with new modular supercomputing facility ...

Mellanox sets new DPDK performance record with ConnectX-5 ...

Mellanox introduces world-leading 6WIND-based router and IPsec Indigo platform at unmatched price/performance ...

Mellanox and ECI smash virtual CPE performance barriers with Indigo-based platform ...

ORNL director moving to new post at Battelle ...

DDN ranks no. 1 as HPC storage market leader and top supplier ...

National Science Foundation funds supercomputer cluster at Penn State ...

Applications

Watson Health Medical Imaging Collaborative expands to 24 members; IBM debuts Watson Imaging Clinical Review, the first cognitive imaging offering ...

3D-e-Chem team develops Virtual Machine for computer-aided drug discovery ...

IBM Research is training Watson to identify eye retina abnormalities ...

Lorentz-eScience competition 2018 to issue Call for Applications ...

Learning how to fine-tune nanofabrication ...

Deep Learning predicts hematopoietic stem cell development ...

New algorithm identifies gene transfers between different bacterial species ...

Artificial intelligence in quantum systems, too ...

ExxonMobil sets record on NCSA's Blue Waters supercomputer ...

The Cloud

eww ITandTEL implements high-performance Platform-as-a-Service environment with Red Hat technologies ...

Artificial intelligence in quantum systems, too


Unai Alvarez-Rodriguez. Photo: UPV/EHU.
22 Feb 2017 - A piece of research at the UPV/EHU-University of the Basque Country uses quantum simulators to imitate life, natural selection, learning and memory. The UPV/EHU's Department of Physical Chemistry has conducted world-class research in physics and quantum computation. This has led to the coining of a new term: Quantum Biomimetics, which consists of reproducing in quantum systems certain properties exclusive of living entities. Specifically, they have imitated natural selection, learning and memory. These mechanisms developed could give quantum computation a boost and facilitate the learning process in machines.

Unai Alvarez-Rodriguez is a researcher in the Quantum Technologies for Information Science (QUTIS) research group, attached to the UPV/EHU's Department of Physical Chemistry, and an expert in quantum information and technologies. Explained briefly, quantum information uses quantum physics to encode computational tasks. Unlike classical computation, quantum computation "has the advantage of not being limited to producing registers in values of 0 and 1", he stated. Qubits, the equivalent of bits in classical computation, can take values of 0, 1 or both at the same time - a phenomenon known as superposition, which "gives quantum systems the possibility of performing much more complex operations, establishing a computational parallel on a quantum level, and offering better results than classical computation systems", he added.

Within all these possibilities that exist to explore this field, the research group to which Unai Alvarez-Rodriguez belongs decided to focus on imitating biological processes. "We thought it would be interesting to create systems capable of emulating certain properties exclusive of living entities. In other words, we were seeking to design quantum information protocols whose dynamics were analogous to these properties." The processes they chose to imitate by means of quantum simulators were natural selection, memory and intelligence. This led them likewise to come up with the concept of quantum biomimetics.

In the first case, they recreated a natural selection environment in which there were individuals, replication, mutation, interaction with other individuals and the environment, and a state equivalent to death. "We developed this final mechanism so that the individuals would have a finite lifetime", specified the researcher. So by combining all these elements, the system achieved has no single clear solution: "We approached the natural selection model as a dispute between different strategies in which each individual would be a strategy for resolving the problem, the solution would be the strategy capable of dominating the available space."

The mechanism to simulate memory, on the other hand, consists of a system governed by equations. Equations, however, display a dependence on their previous and future states, so the way in which the system changes "does not only depend on how it is right now but on where it was 5 minutes ago and where it is going to be in 5 minutes' time", explained Unai Alvarez-Rodriguez.

Finally, in the quantum algorithms relating to learning processes, they firstly developed mechanisms to optimize well-defined tasks, to improve classical algorithms and to improve the error margins and reliability of the operations. On the other hand "we managed to encode a function in a quantum system but not to write it directly; the system did it autonomously, we could say that it 'learnt' by means of the mechanism we designed so that it would happen. That is one of the most novel advances in this research", pointed out the researcher.

All these methods and protocols developed in his research have provided the means to resolve all kinds of systems. In the area of memory, for example, Unai Alvarez-Rodriguez stresses that the method can be used to resolve highly complex systems: "It could be used to study quantum systems in different ambient conditions, or on different scales in a more accessible, more cost-effective way." With respect to natural selection, "more than anything we have come up with a quantum mechanism on which self-replicating systems could be based and which could be used to automate processes on a quantum scale", he stressed. And finally, as regards learning, "we have come up with a way of teaching a machine a function without having to insert the result beforehand. This is something that is going to be very useful in the years to come, and we will get to see it", he outlined.

All the models developed in the research were computational models. But Unai Alvarez-Rodriguez has made it clear that one of the main ideas of his research group is that "science takes place in the real world. Everything we do has a more or less direct application. Despite having been conducted in theoretical mode, the simulations we have proposed are designed so that they can be carried out in experiments, on different types of quantum platforms, such as trapped ions, superconducting circuits and phototonic waveguides, among others. To do this, we had the collaboration of the experimental groups."

U. Alvarez-Rodriguez, L. Lamata, P. Escandell-Montero, J. D. Martín-Guerrero, and E. Solano are the authors of the paper titled " Quantum Machine Learning without Measurements ".

Source: University of the Basque Country

Back to Table of contents

Primeur weekly 2017-02-27

Focus

Square Kilometre Array data crunching will require compute power beyond Moore's Law ...

Exascale supercomputing

ADIOS Version 1.11 moves I/O framework from research to production ...

Focus on Europe

Microsoft researcher tapped for opening keynote at ISC 2017 ...

Atos acquires zData, a premier consulting firm with unparalleled expertise in Big Data solutions ...

HPC5 consortium now registered as official Digital Hub with I4MS ...

Middleware

HPE and Red Hat join forces to give customers greater choice for NFV deployments ...

Hardware

Tokyo Tech supercomputer TSUBAME3.0 scheduled to start operating in summer 2017 ...

NASA saves energy and water with new modular supercomputing facility ...

Mellanox sets new DPDK performance record with ConnectX-5 ...

Mellanox introduces world-leading 6WIND-based router and IPsec Indigo platform at unmatched price/performance ...

Mellanox and ECI smash virtual CPE performance barriers with Indigo-based platform ...

ORNL director moving to new post at Battelle ...

DDN ranks no. 1 as HPC storage market leader and top supplier ...

National Science Foundation funds supercomputer cluster at Penn State ...

Applications

Watson Health Medical Imaging Collaborative expands to 24 members; IBM debuts Watson Imaging Clinical Review, the first cognitive imaging offering ...

3D-e-Chem team develops Virtual Machine for computer-aided drug discovery ...

IBM Research is training Watson to identify eye retina abnormalities ...

Lorentz-eScience competition 2018 to issue Call for Applications ...

Learning how to fine-tune nanofabrication ...

Deep Learning predicts hematopoietic stem cell development ...

New algorithm identifies gene transfers between different bacterial species ...

Artificial intelligence in quantum systems, too ...

ExxonMobil sets record on NCSA's Blue Waters supercomputer ...

The Cloud

eww ITandTEL implements high-performance Platform-as-a-Service environment with Red Hat technologies ...