NSF advances 10 quantum technology and artificial intelligence Innovation solution teams to the next phase of the Convergence Accelerator program The U.S. National Science Foundation
Valleytronics is an emerging field in which valleys—local minima in the energy band structure of solids—are used to encode, process, and store quantum information. Though graphene was thought to be unsuitable for valleytronics due to its symmetrical structure, researchers from the Indian Institute of Technology Bombay, India, have recently shown that this is not the case. Their findings may pave the way to small-sized quantum computers that can operate at room temperature.
Accenture (NYSE: ACN) and IonQ are collaborating to accelerate quantum computing business experimentation in organizations globally and across industries. Accenture’s experience and skills in quantum, coupled with its ability to design and create customized industry solutions tailored to IonQ’s quantum computing technology, will help more companies innovate and become quantum ready.
E.ON allies with IBM Quantum to Advance Energy Transition Goals IBM and E.ON aim to drive the transformation of the energy industry with Quantum Computing.
Quantum simulation institute includes two HBCU partners, biological sensing institute establishes a K12 Quantum Academy.
Riverlane has been awarded the first contract to supply quantum software to the UK’s National Quantum Computing Centre (NQCC). The NQCC, funded through UK Research and Innovation, is dedicated to accelerating the development of quantum computing in the UK.
As a partner of the Fraunhofer Competence Network Quantum Computing, the German Cancer Research Center (DKFZ) is planning to use the quantum computer in Ehningen, Baden-Württemberg, to develop individually effective cancer treatment methods in the future.
World events ranging from the Suez Canal blockage to the global COVID-19 pandemic have shown how susceptible our supply chain management and logistics systems are to changes in consumer and business demand, raw materials availability, shipping, and distribution. The field of constrained optimization is well matched to address these needs, yet today’s classical computers can hit a wall amidst growing volumes of data and unpredictable disruptions. New software solutions will combine the power of classical and quantum computing to help planners stay ahead.
Two physicists, from EPFL and Columbia University, have introduced an approach for simulating the quantum approximate optimization algorithm using a traditional computer. Instead of running the algorithm on advanced quantum processors, the new approach uses a classical machine-learning algorithm that closely mimics the behavior of near-term quantum computers.
A team of scientists at Los Alamos National Laboratory propose that modulated quantum metasurfaces can control all properties of photonic qubits, a breakthrough that could impact the fields of quantum information, communications, sensing and imaging, as well as energy and momentum harvesting.
