The Facility Location Problem, or FLP, is a long-standing challenge within operations research—the application of scientific methods to decision-making and problem-solving by managers in large commercial, public or military organizations.
IonQ announced a collaboration with Airbus to explore the potential application and benefits of quantum computing for aerospace services and passenger experiences.
In February of 2022, Agnostiq released a study providing the present state-of-the-art for solving combinatorial optimization problems on real, noisy gate-model quantum computers. Although the study was primarily focused on the optimization of discrete financial portfolios, the work is much more general with consequences for other industrially important problems including vehicle routing, task scheduling and facility location services.
With the “High-Performance Computer and Quantum Simulator hybrid” (HPCQS) project, Europe is entering a new era of hybrid quantum high-performance computing. The aim is to closely connect two quantum simulators, each with over 100 qubits, with two European supercomputers. The infrastructure project is part of the research and innovation action “Advanced pilots towards the European exascale Supercomputers” and is funded by the European High-Performance Computing Joint Undertaking (EuroHPC JU) based in Luxembourg. HPCQS has a total budget of 12 million euros over 4 years, which is financed in equal parts by EuroHPC JU and the participating member states.
QUANTUM COMPUTING AND THE SUEZ CANAL On March 23, 2021, the Ever Given container ship became wedged in the Suez Canal, blocking all maritime traffic.
For the first time, researchers at Honeywell Quantum Solutions demonstrated repeated rounds of real-time quantum error correction (QEC), an advancement that represents a significant step toward the realization of large-scale quantum computing. The company also achieved a quantum volume of 1,024, doubling its own record from just four months ago. Beyond the hardware milestones, Cambridge Quantum also has developed a new quantum algorithm that uses fewer qubits to solve optimization problems.
Tiny quantum computer solves real optimisation problem Quantum computers have already managed to surpass ordinary computers in solving certain tasks – unfortunately, totally useless ones.
