Parallel quantum annealing
Quantum annealers of D-Wave Systems, Inc., offer an efficient way to compute high quality
solutions of NP-hard problems. This is done by mapping a problem onto the physical qubits …
solutions of NP-hard problems. This is done by mapping a problem onto the physical qubits …
Solving larger maximum clique problems using parallel quantum annealing
Quantum annealing has the potential to find low energy solutions of NP-hard problems that
can be expressed as quadratic unconstrained binary optimization problems. However, the …
can be expressed as quadratic unconstrained binary optimization problems. However, the …
Comparing three generations of d-wave quantum annealers for minor embedded combinatorial optimization problems
E Pelofske - arXiv preprint arXiv:2301.03009, 2023 - arxiv.org
Quantum annealing is a novel type of analog computation that aims to use quantum
mechanical fluctuations to search for optimal solutions of Ising problems. Quantum …
mechanical fluctuations to search for optimal solutions of Ising problems. Quantum …
Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping
We present\emph {Noise-Directed Adaptive Remapping}(NDAR), a heuristic meta-algorithm
for approximately solving binary optimization problems by leveraging certain types of noise …
for approximately solving binary optimization problems by leveraging certain types of noise …
Mapping state transition susceptibility in quantum annealing
E Pelofske - Physical Review Research, 2023 - APS
Quantum annealing is a novel type of analog computation that aims to use quantum-
mechanical fluctuations to search for optimal solutions for Ising problems. Quantum …
mechanical fluctuations to search for optimal solutions for Ising problems. Quantum …
Test Case Minimization with Quantum Annealers
Quantum annealers are specialized quantum computers for solving combinatorial
optimization problems using special characteristics of quantum computing (QC), such as …
optimization problems using special characteristics of quantum computing (QC), such as …
Using machine learning for quantum annealing accuracy prediction
Quantum annealers, such as the device built by D-Wave Systems, Inc., offer a way to
compute solutions of NP-hard problems that can be expressed in Ising or quadratic …
compute solutions of NP-hard problems that can be expressed in Ising or quadratic …
Spatial correlations in the qubit properties of D-Wave 2000Q measured and simulated qubit networks
We show strong positive spatial correlations in the qubits of a D-Wave 2000Q quantum
annealing chip that are connected to qubits outside their own unit cell. By simulating the …
annealing chip that are connected to qubits outside their own unit cell. By simulating the …
Simulating Heavy-Hex Transverse Field Ising Model Magnetization Dynamics Using Programmable Quantum Annealers
Recently, a Hamiltonian dynamics simulation was performed on a kicked ferromagnetic 2D
transverse field Ising model with a connectivity graph native to the 127 qubit heavy-hex IBM …
transverse field Ising model with a connectivity graph native to the 127 qubit heavy-hex IBM …
Load Balancing For High Performance Computing Using Quantum Annealing
O Rathore, A Basden, N Chancellor… - arXiv preprint arXiv …, 2024 - arxiv.org
With the advent of exascale computing, effective load balancing in massively parallel
software applications is critically important for leveraging the full potential of high …
software applications is critically important for leveraging the full potential of high …