Efficient partition of integer optimization problems with one-hot encoding
Quantum annealing is a heuristic algorithm for solving combinatorial optimization problems,
and hardware for implementing this algorithm has been developed by D-Wave Systems Inc …
and hardware for implementing this algorithm has been developed by D-Wave Systems Inc …
Control of automated guided vehicles without collision by quantum annealer and digital devices
Recent advance on quantum devices realizes an artificial quantum spin system known as
the D-Wave 2000Q, which implements the Ising model with tunable transverse field. In this …
the D-Wave 2000Q, which implements the Ising model with tunable transverse field. In this …
Benchmark test of black-box optimization using d-wave quantum annealer
In solving optimization problems, objective functions generally need to be minimized or
maximized. However, objective functions cannot always be formulated explicitly in a …
maximized. However, objective functions cannot always be formulated explicitly in a …
Finding the ground state of spin Hamiltonians with reinforcement learning
Reinforcement learning (RL) has become a proven method for optimizing a procedure for
which success has been defined, but the specific actions needed to achieve it have not …
which success has been defined, but the specific actions needed to achieve it have not …
CMOS-compatible Ising and Potts annealing using single-photon avalanche diodes
W Whitehead, Z Nelson, KY Camsari… - Nature Electronics, 2023 - nature.com
Massively parallel annealing processors are of potential use in a wide range of sampling
and optimization problems. A key component dictating the size of these processors is the …
and optimization problems. A key component dictating the size of these processors is the …
Quantum Annealing Stencils with Applications to Fuel Loading of a Nuclear Reactor
A method for map** quadratic unconstrained binary optimizations expressed as nearest
neighbor stencils onto contemporary quantum annealing machines is developed. The …
neighbor stencils onto contemporary quantum annealing machines is developed. The …
Ising formulation of integer optimization problems for utilizing quantum annealing in iterative improvement strategy
Quantum annealing is a heuristic algorithm for searching the ground state of an Ising model.
Heuristic algorithms aim to obtain near-optimal solutions with a reasonable computation …
Heuristic algorithms aim to obtain near-optimal solutions with a reasonable computation …
Potts Clustering with Complete Shrinkage: a novel clustering methodology with its Software Package pottscompleteshrinkage in Python
NKA ALAHASSA - 2021 - researchsquare.com
We have modified the Potts Model Swendsen-Wang algorithm to insert some clusters
constraints by applying a modified agglomerative clustering approach (Kurita, 1991). We …
constraints by applying a modified agglomerative clustering approach (Kurita, 1991). We …