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Primeur weekly 2019-02-11

Focus

2018 - Another year on the Road to Exascale - Part II - Memory, interconnects and other technologies for exascale ...

German Research Data Infrastructure GeRDI offers service to manage data according to FAIR principles ...

Do not get lost in the Horizon 2020 labyrinth, use the Knowledge Base ...

Exascale supercomputing

Exascale computing is coming soon, but will scientific communities be ready to make use of it? ...

Quantum computing

Atos delivers one of the most powerful quantum simulators in the world to Hartree Centre in the UK ...

Argonne researchers develop new method to reduce quantum noise ...

Focus on Europe

State concept to high-performance computing: German universities are intensifying their cooperation ...

Barcelona Supercomputing Center coordinates an international project to share and reuse cancer genomic data at a global level ...

Middleware

ThinkParQ announces its Platinum Partnership with Pacific Teck ...

Software stack in a snapshot ...

Kalray launches ES3CAP as lead partner: a 22,2 million euro budget ambitious industrial project for the development of the future computing platform for intelligent systems ...

Hardware

DDN names RAID Inc. a preferred Lustre reseller ...

Tremend signs agreement with Mellanox ...

WekaIO places first on the Virtual Institute's IO-500 10 Node Challenge ...

Applications

Barcelona Supercomputing Center's ground-breaking collaboration with Global Parametrics supercharges its predictive climate-risk modelling ...

New geometric model improves predictions of fluid flow in rock ...

Modelling uncertain terrain with supercomputers ...

Supercomputing propels jet atomization research for industrial processes ...

NOAA and NCAR partner on new, state-of-the-art U.S. modelling framework ...

The Cloud

Newly launched ANSYS Cloud accelerates engineering productivity and business agility ...

OCRE enables easy Cloud usage through the European Open Science Cloud ...

Argonne researchers develop new method to reduce quantum noise

This is an example of a 'hypersurface' fit to many experiments with slightly different noise parameters, 1 and 2. Black points are measurements of an observable with different noise rates. The red 'X' is the noise-free result. Blue, orange and green surfaces are first, third and fourth order fits. Credit: Argonne National Laboratory.4 Feb 2019 Argonne - In a recent issue ofPhysical Review A, Argonne researchers reported a new method for alleviating the effects of "noise" in quantum information systems, a challenge scientists around the globe are working to meet in the race toward a new era of quantum technologies. The new method has implications for the future of quantum information science, including quantum computing and quantum sensing.

Many current quantum information applications, such as carrying out an algorithm on a quantum computer, suffer from "decoherence" - a loss of information due to "noise", which is inherent to quantum hardware. Matthew Otten, a Maria Goeppert Mayer Fellow at Argonne, and Stephen Gray, group leader of Theory and Modeling at the Center for Nanoscale Materials, a U.S. Department of Energy Office of Science User Facility, have developed a new technique that recovers this lost information by repeating the quantum process or experiment many times, with slightly different noise characteristics, and then analyzing the results.

After gathering results by running the process many times in sequence or parallel, the researchers construct a hypersurface where one axis represents the result of a measurement and the other two - or more - axes represent different noise parameters. This hypersurface yields an estimate of the noise-free observable and gives information about the effect of each noise rate.

"It's like taking a series of flawed photographs", stated Matthew Otten. "Each photo has a flaw, but in a different place in the picture. When we compile all the clear pieces from the flawed photos together, we get one clear picture."

Applying this technique effectively reduces quantum noise without the need for additional quantum hardware.

"This is a versatile technique that can be done with separate quantum systems undergoing the same process at the same time", stated Matthew Otten.

"One could create several small quantum devices and run them in parallel", stated Stephen Gray. "Using our method, one would combine the results on the hypersurface and generate approximate noise-free observables. The results would help extend the usefulness of the quantum devices before decoherence sets in."

"We successfully performed a simple demonstration of our method on the Rigetti 8Q-Agave quantum computer", stated Matthew Otten. "This class of methods will likely see much use in near-term quantum devices."

The researchers' work described above appears inPhysical Review Aand is entitled " Recovering noise-free quantum observables ".

Matthew Otten and Stephen Gray have also developed a similar and somewhat less computationally complex process to achieve noise-reduction results based on correcting one qubit at a time to approximate the result for all qubits being simultaneously corrected. A qubit, or quantum bit, is the equivalent in quantum computing to the binary digit or bit used in classical computing.

"In this approach, we assume that the noise can be reduced on each qubit individually, which, while experimentally challenging, leads to a much simpler data processing problem and results in an estimate of the noise-free result", noted Matthew Otten.

This second method was recently published in Nature Partner JournalsQuantum Information: " Accounting for errors in quantum algorithms via individual error reduction ".

This research was performed at the Center for Nanoscale Materials, a U.S. Department of Energy User Facility at Argonne, and was supported by the U.S. Department of Energy, Office of Science. Bebop, a high-performance computing cluster operated by the Laboratory Computing Resource Center at Argonne, was used to perform simulations that helped hone the new method and demonstrate it in situations that are not currently available with quantum hardware.

Source: DOE/Argonne National Laboratory

Back to Table of contents

Primeur weekly 2019-02-11

Focus

2018 - Another year on the Road to Exascale - Part II - Memory, interconnects and other technologies for exascale ...

German Research Data Infrastructure GeRDI offers service to manage data according to FAIR principles ...

Do not get lost in the Horizon 2020 labyrinth, use the Knowledge Base ...

Exascale supercomputing

Exascale computing is coming soon, but will scientific communities be ready to make use of it? ...

Quantum computing

Atos delivers one of the most powerful quantum simulators in the world to Hartree Centre in the UK ...

Argonne researchers develop new method to reduce quantum noise ...

Focus on Europe

State concept to high-performance computing: German universities are intensifying their cooperation ...

Barcelona Supercomputing Center coordinates an international project to share and reuse cancer genomic data at a global level ...

Middleware

ThinkParQ announces its Platinum Partnership with Pacific Teck ...

Software stack in a snapshot ...

Kalray launches ES3CAP as lead partner: a 22,2 million euro budget ambitious industrial project for the development of the future computing platform for intelligent systems ...

Hardware

DDN names RAID Inc. a preferred Lustre reseller ...

Tremend signs agreement with Mellanox ...

WekaIO places first on the Virtual Institute's IO-500 10 Node Challenge ...

Applications

Barcelona Supercomputing Center's ground-breaking collaboration with Global Parametrics supercharges its predictive climate-risk modelling ...

New geometric model improves predictions of fluid flow in rock ...

Modelling uncertain terrain with supercomputers ...

Supercomputing propels jet atomization research for industrial processes ...

NOAA and NCAR partner on new, state-of-the-art U.S. modelling framework ...

The Cloud

Newly launched ANSYS Cloud accelerates engineering productivity and business agility ...

OCRE enables easy Cloud usage through the European Open Science Cloud ...