6 citations · 9 across the 7 of their papers we have counts for
3 papers · 1 filter
Advantages of multistage quantum walks over QAOA
Lasse Gerblich, Tamanna Dasanjh, Horatio Q. X. Wong +4
Methods to find the solution state for optimization problems encoded into Ising Hamiltonians are a very active area of current research. In this work we compare the quantum approxi…
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…
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…