6 papers
Quantum annealers as programmable thermal machines
Jakub Pawłowski, Tomasz Śmierzchalski, Fengping Jin +3
Programmable quantum annealers are used for optimization, probabilistic sampling, and simulation, but their performance is commonly reported without the energy exchanged during com…
Quantum speed-up for solving the one-dimensional Hubbard model using quantum annealing
Kunal Vyas, Fengping Jin, Hans De Raedt +1
The Hubbard model has occupied the minds of condensed matter physicists for most part of the last century. This model provides insight into a range of phenomena in correlated elect…
Understanding the physics of D-Wave annealers: From Schrödinger to Lindblad to Markovian Dynamics
Vrinda Mehta, Hans De Raedt, Kristel Michielsen +1
Understanding the physical nature of the D-Wave annealers remains a subject of active investigation. In this study, we analyze the sampling behavior of these systems and explore wh…
Unraveling Reverse Annealing: A Study of D-Wave Quantum Annealers
Vrinda Mehta, Hans De Raedt, Kristel Michielsen +1
D-Wave quantum annealers offer reverse annealing as a feature allowing them to refine solutions to optimization problems. This paper investigates the influence of key parameters, s…
Performance of quantum annealing for 2-SAT problems with multiple satisfying assignments
Vrinda Mehta, Hans De Raedt, Kristel Michielsen +1
Using a specially constructed set of hard 2-SAT problems with four satisfying assignments, we study the scaling and sampling performance of numerical simulation of quantum annealin…
Scalable General Error Mitigation for Quantum Circuits
Philip Döbler, Jannik Pflieger, Fengping Jin +4
In quantum computing, error mitigation is a method to improve the results of an error-prone quantum processor by post-processing them on a classical computer. In this work, we impr…