Learning angles for quantum approximate optimization
This work amortizes a major bottleneck in QAOA by an up-front data generation and training cost and can be amortized over time in settings where many similar problems are optimized on a regular basis, as is often the case in applications for industry.
Johannes Jakubik, Isabelle Wittmann, Zaheed Gaffoor et al.
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