Quantum Computing Gets Hardware Boost With Spin Glass Breakthrough
▻https://www.techrepublic.com/article/quantum-computing-d-wave-spin-glass-advantage
One of the challenges in quantum computing is overcoming 3D spin-glass optimization limitations, which can slow down quantum simulation meant to solve real-world optimization problems. An experimental solution is D-Wave’s Advantage quantum computer, running spin-glass dynamics (essentially a sequence of magnets) on 5,000 #qubits.
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The main takeaway for enterprises is that spin-glass computing on a #quantum_annealing device may eventually be able to efficiently solve optimization problems, achieving a goal with as little energy as possible. For example, it could be a relatively efficient way to answer questions such as “Should I ship this package on this truck or the next one?” or the ‘traveling salesman problem’ (“What is the most efficient route a traveling salesperson should take to visit different cities?”), as D-Wave wrote.
D-Wave is one of the only companies that offers enterprise #quantum_computing space with both gate and annealing programs, which now includes its 5,000 qubit, commercial-grade Advantage quantum computer. There is still some question as to how practical this technology is, but the new paper is proof that further commercial quantum computing optimization can be performed on D-Wave’s hardware.
#recuit_quantique
#verre_de_spin
#ordinateur_quantique
Quantum annealing - Wikipedia
(pas de vf)
▻https://en.wikipedia.org/wiki/Quantum_annealing
Quantum annealing (QA) is an optimization process for finding the global minimum of a given objective function over a given set of candidate solutions (candidate states), by a process using quantum fluctuations. Quantum annealing is used mainly for problems where the search space is discrete (combinatorial optimization problems) with many local minima; such as finding the ground state of a spin glass or the traveling salesman problem.
