2 papers
quant-ph2024
Experimental demonstration of improved quantum optimization with linear Ising penalties
Puya Mirkarimi, David C. Hoyle, Ross Williams +1
The standard approach to encoding constraints in quantum optimization is the quadratic penalty method. Quadratic penalties introduce additional couplings and energy scales, which c…
quant-ph2024
Quantum optimization with linear Ising penalty functions for customer data science
Puya Mirkarimi, Ishaan Shukla, David C. Hoyle +2
Constrained combinatorial optimization problems, which are ubiquitous in industry, can be solved by quantum algorithms such as quantum annealing (QA) and the quantum approximate op…