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UrduBuilding efficient quantum neural networks is a promising direction for research at the intersection of quantum computing and machine learning.
Tag: quantum algorithms
Seven entrepreneurs join Innovation Crossroads seventh cohort
Seven entrepreneurs will embark on a two-year fellowship as the seventh cohort of Innovation Crossroads kicks off this month at the Department of Energy’s Oak Ridge National Laboratory. Representing a range of transformative energy technologies, Cohort 7 is a diverse class of innovators with promising new companies.
Breakthrough boosts quantum AI
A groundbreaking theoretical proof shows that a technique called overparametrization enhances performance in quantum machine learning for applications that stymie classical computers.
Scientists take an important step towards using quantum computers to advance materials science
A team of scientists from the U.S. Department of Energy’s Ames National Laboratory demonstrated a way to advance the role of quantum computing in materials research with an adaptive algorithm for simulating materials. Quantum computers have potential capabilities far beyond today’s computers, and using an adaptive algorithm allows them to produce solutions quickly and accurately.
Securing supply chains with quantum computing
New research in quantum computing at Sandia National Laboratories is moving science closer to being able to overcome supply-chain challenges and restore global security during future periods of unrest.
Quantum Chemistry Finds a New Path on Quantum Devices
A team of researchers from the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory and Stony Brook University have devised a new quantum algorithm to compute the lowest energies of molecules at specific configurations during chemical reactions, including when their chemical bonds are broken.
New Record For Modeling Atoms Smashes Previously Held Record Number By Factor of 10
A new record has been set by researchers at the Oden Institute for Computational Engineering and Sciences for calculating the energy distribution function, or “density of states,” for over 100,000 silicon atoms, a first in computational materials science.
University of Wisconsin–Madison, industry partners run quantum algorithm on neutral atom quantum computer for the first time
• A university-industry collaboration has successfully run a quantum algorithm on a type of quantum computer known as a cold atom quantum computer for the first time. The achievement by the team of scientists from the University of Wisconsin¬–Madison, ColdQuanta and Riverlane brings quantum computing one step closer to being used in real-world applications.
FSU researchers enhance quantum machine learning algorithms
A Florida State University professor’s research could help quantum computing fulfill its promise as a powerful computational tool. William Oates, the Cummins Inc. Professor in Mechanical Engineering and chair of the Department of Mechanical Engineering at the FAMU-FSU College of Engineering, and postdoctoral researcher Guanglei Xu found a way to automatically infer parameters used in an important quantum Boltzmann machine algorithm for machine learning applications.
Connected Moments for Quantum Computing
Connected moments math shortcut shaves time and cost of quantum calculations while maintaining accuracy
New $115 Million Quantum Systems Accelerator to Pioneer Quantum Technologies for Discovery Science
The Berkeley Lab-led center will forge the technological solutions needed to harness quantum information science for discoveries that benefit the world. It will also energize the nation’s research community to ensure U.S. leadership in quantum R&D and accelerate the transfer of technologies from the lab to the marketplace.