Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...

Research paper by Bjørnar Luteberget and Giorgio Sartor wins 2024 FICO® Xpress Best Paper Award; the algorithm is now in FICO® Xpress Solver “When solving a very large computational problem, ...

Quantum computing is rapidly emerging and, as it progresses forward, promises to cross fields of industry—from health sciences to finance and many other fields. Its advent is transforming the face of ...

As a result, both the ability to represent complex optimization problems and the performance of solution search were significantly improved. Using this technology, the research team successfully ...

A quantum computer can solve optimization problems faster than classical supercomputers, a process known as "quantum advantage" and demonstrated by a USC researcher in a paper recently published in ...

LightSolver, creator of a new laser-based computing paradigm, announced a breakthrough in quantum-inspired high-performance computing. Its LPU100 system unleashes the power of 100 lasers to solve the ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...