4 papers
Parameter Concentration in Quantum Approximate Optimization
V. Akshay, D. Rabinovich, E. Campos +1
The quantum approximate optimization algorithm (QAOA) has become a cornerstone of contemporary quantum applications development. In QAOA, a quantum circuit is trained -- by repeate…
Computational Phase Transitions: Benchmarking Ising Machines and Quantum Optimisers
Hariphan Philathong, Vishwa Akshay, Ksenia Samburskaya +1
While there are various approaches to benchmark physical processors, recent findings have focused on computational phase transitions. This is due to several factors. Importantly, t…
Computational Phase Transition Signature in Gibbs Sampling
H. Philathong, V. Akshay, I. Zacharov +1
Gibbs sampling is fundamental to a wide range of computer algorithms. Such algorithms are set to be replaced by physics based processorsbe it quantum or stochastic annealing dev…
Reachability Deficits in Quantum Approximate Optimization
V. Akshay, H. Philathong, M. E. S. Morales +1
The quantum approximate optimization algorithm (QAOA) has rapidly become a cornerstone of contemporary quantum algorithm development. Despite a growing range of applications, only…