Constrained-optimization Approach Delivers Superior Classical Performance for Graph Partitioning via Quantum-ready Method · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2006.15067/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTConstrained-optimization Approach Delivers Superior Classical Performance for Graph Partitioning via Quantum-ready Method — mentioned by spreinhardthttps://news.ycombinator.com/item?id=26845294urn:hackerpapers:mention:2006.15067:26845294Sat, 17 Apr 2021 16:08:39 GMT<p>Re: use cases for quantum computing: - I spent 4 years at D-Wave and now 2 years at QCI working on apps/tools for quantum computers, mostly focused on constrained optimization. I know a fair amount about how to use D-Wave&#x27;s annealing QPU and a smidgen about how to use gate-model QPUs but am not a quantum physicist. - Yes, the QPUs available via AWS&#x27; Braket are real QPUs that run real quantum problems, and cost real money. :) IBM, Honeywell, and others have QPUs available directly from the vendor. - To my knowledge there are no real-world problems that today deliver better performance…</p><p><a href="https://hackerpaper.kaipfister.de/p/2006.15067/">Paper and discussion history</a>. A mention is not an endorsement.</p>quant-ph