8 citations · 16 across the 3 of their papers we have counts for
3 papers
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…
Comparing the hardness of MAX 2-SAT problem instances for quantum and classical algorithms
Puya Mirkarimi, Adam Callison, Lewis Light +2
An algorithm for a particular problem may find some instances of the problem easier and others harder to solve, even for a fixed input size. We numerically analyse the relative har…