The Optimization Framework Developed by Researchers Based on Quantum Computing Can Reduce Energy Consumption and Carbon Emissions in Data Centers

Researchers from Cornell University have developed an optimization framework that integrates variational quantum circuits with classical optimization, which can reduce the energy consumption in large data centers handling artificial intelligence (AI) workload by 12.5% and reduce carbon emissions by up to 9.8%.

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NYU and University of Copenhagen Team Up to Work Toward Superconductor and Semiconductor Materials for Quantum Computing

NYU and University of Copenhagen Team Up to Work Toward Superconductor and Semiconductor Materials for Quantum Computing

May 30, 2024
New York University’s Center for Quantum Information Physics and the University of Copenhagen’s Niels Bohr Institute have established a collaboration to develop superconductor and semiconductor materials, which could be used to enhance performance of electronics, quantum sensors, and computing capabilities, for manufacturing.

First Generation 2 Systems Installed at the University of Copenhagen

First Generation 2 Systems Installed at the University of Copenhagen

May 28, 2024
The first Bluefors systems with their new generation 2 Gas Handling Systems have been installed at the Niels Bohr Institute of the University of Copenhagen. These XLDsl Dilution Refrigerator systems will be used by the Superconducting Quantum Information Devices Lab to support the group’s work developing state-of-the-art superconducting circuits and qubits to explore quantum information physics.

Quantum AI Framework Targets Energy Intensive Data Centers

Quantum AI Framework Targets Energy Intensive Data Centers

May 26, 2024
A new quantum computing-based optimization framework developed at Cornell could reduce energy consumption in large data centers handling artificial intelligence (AI) workloads by as much as 12.5% and reduce their carbon emissions by as much as 9.8%.

How AI Helps Programming a Quantum Computer

How AI Helps Programming a Quantum Computer

May 25, 2024
Researchers from the University of Innsbruck have unveiled a novel method to prepare quantum operations on a given quantum computer, using a machine learning generative model to find the appropriate sequence of quantum gates to execute a quantum operation. The study, recently published in Nature Machine Intelligence, marks a significant step forward in unleashing the full extent of quantum computing.

Helping Qubits Stay in Sync

Helping Qubits Stay in Sync

May 23, 2024
As part of the Center for Quantum Leaps, a signature initiative of the Arts & Sciences strategic plan, physicist Kater Murch and his research group use nano-fabrication techniques to construct superconducting quantum circuits that allow them to probe fundamental questions in quantum mechanics. Qubits are promising systems for realizing quantum schemes for computation, simulation and data encryption.

IBM Expands Qiskit, World’s Most Performant Quantum Software

IBM Expands Qiskit, World’s Most Performant Quantum Software

May 16, 2024
Qiskit now refined as a comprehensive quantum software stack, focused on performance and stability to fully harness the power of utility-scale quantum hardware, and enable users to run increasingly more complex quantum circuits in the search for quantum advantage.

NIST Scientists Modify Common Lab Refrigerator to Cool Faster With Less Energy

NIST Scientists Modify Common Lab Refrigerator to Cool Faster With Less Energy

April 25, 2024
Scientists have dramatically reduced the time and energy required to chill materials to temperatures near absolute zero. Their prototype refrigerator could prove a boon for the burgeoning quantum industry, which widely uses ultracold materials. NIST is now working with an industrial partner to commercialize the refrigerator.

Wolfram and Classiq Integrate Advanced Quantum Software Tools Into Mathematica

Wolfram and Classiq Integrate Advanced Quantum Software Tools Into Mathematica

April 24, 2024
In a landmark collaboration, Classiq Technologies, a leader in quantum computing software, and Wolfram Research, the leading computational software provider, announce a software partnership. This collaboration integrates Classiq’s cutting-edge engine within Wolfram Mathematica, offering a unified solution for the development of quantum and classical algorithms.
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