Amazon Web Services (AWS) has become a member of Q-NEXT, a quantum research center that is developing the science and technology for controlling and distributing quantum information.
Researchers at Lawrence Berkeley National Laboratory developed a new approach to quantum error mitigation that could help make quantum computing’s theoretical potential a reality: noise estimation circuits.
This year, the tech company Intel will deliver its first quantum computing test bed to the U.S. Department of Energy’s (DOE) Argonne National Laboratory, the host lab for Q-NEXT, a DOE National Quantum Information Science Research Center.
Three research groups demonstrated more than 99 percent fidelity for “if-then” logic gates between two silicon qubits.
In new research from the U.S. Department of Energy’s (DOE) Argonne National Laboratory, scientists have achieved efficient quantum coupling between two distant magnetic devices, which can host a certain type of magnetic excitations called magnons. These excitations happen when an electric current generates a magnetic field. Coupling allows magnons to exchange energy and information. This kind of coupling may be useful for creating new quantum information technology devices.
Quantum science holds promise for many technological applications, such as building hackerproof communication networks or quantum computers that could accelerate new drug discovery. These applications require a quantum version of a computer bit, known as a qubit, that stores quantum information.
Researchers around the world are exploring how the smallest bits of matter and energy, such as atoms, electrons and photons, can relay information by making essential use of their quantum properties. These unique properties are described by a branch of physics called quantum mechanics, which was originally devised to explain phenomena at the atomic and subatomic scales, but is now central to our understanding of all matter. At the U.S. Department of Energy’s (DOE) Argonne National Laboratory, quantum information science (QIS) is a burgeoning discipline that stands to revolutionize computing, science and communication.
A multi-institutional effort that includes researchers from Argonne, Lawrence Berkeley, and Oak Ridge National Laboratories is now underway to prepare QMCPACK for deployment on forthcoming, GPU-powered exascale machines, including the ALCF’s Aurora supercomputer. The greatly expanded computational power and parallelism of exascale will enable predictive capabilities far beyond the capacity of QMCPACK’s current implementation.
A team of physicists and engineers at Lawrence Berkeley National Laboratory (Berkeley Lab) successfully demonstrated the feasibility of low-cost and high-performance radio frequency modules for qubit controls at room temperature. They built a series of compact radio frequency (RF) modules that mix signals to improve the reliability of control systems for superconducting quantum processors. Their tests proved that using modular design methods reduces the cost and size of traditional RF control systems while still delivering superior or comparable performance levels to those commercially available.
Rigetti Computing, a pioneer in full-stack quantum computing, has been selected to lead a quantum simulation project for fusion energy awarded by the Department of Energy (DoE). Rigetti will collaborate with Lawrence Livermore National Laboratory and the University of Southern California on the three-year, $3.1 million project that will simulate plasma dynamics on Rigetti’s cloud-based quantum computers.
