The physics of optical computing
PL McMahon - Nature Reviews Physics, 2023 - nature.com
There has been a resurgence of interest in optical computing since the early 2010s, both in
academia and in industry, with much of the excitement centred around special-purpose …
academia and in industry, with much of the excitement centred around special-purpose …
A review on quantum approximate optimization algorithm and its variants
Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising
variational quantum algorithm that aims to solve combinatorial optimization problems that …
variational quantum algorithm that aims to solve combinatorial optimization problems that …
Optimality guarantees for crystal structure prediction
Crystalline materials enable essential technologies, and their properties are determined by
their structures. Crystal structure prediction can thus play a central part in the design of new …
their structures. Crystal structure prediction can thus play a central part in the design of new …
Quantum annealing: An overview
In this review, after providing the basic physical concept behind quantum annealing (or
adiabatic quantum computation), we present an overview of some recent theoretical as well …
adiabatic quantum computation), we present an overview of some recent theoretical as well …
An Ising solver chip based on coupled ring oscillators with a 48-node all-to-all connected array architecture
Quantum-inspired computing systems can be used to efficiently solve combinatorial
optimization problems. In developing such systems, a key challenge is the creation of large …
optimization problems. In developing such systems, a key challenge is the creation of large …
Training an ising machine with equilibrium propagation
Ising machines, which are hardware implementations of the Ising model of coupled spins,
have been influential in the development of unsupervised learning algorithms at the origins …
have been influential in the development of unsupervised learning algorithms at the origins …
Speed-up coherent Ising machine with a spiking neural network
Coherent Ising machine (CIM) is a hardware solver that simulates the Ising model and finds
optimal solutions to combinatorial optimization problems. However, for practical tasks, the …
optimal solutions to combinatorial optimization problems. However, for practical tasks, the …
A full-stack view of probabilistic computing with p-bits: devices, architectures, and algorithms
The transistor celebrated its 75th birthday in 2022. The continued scaling of the transistor
defined by Moore's law continues, albeit at a slower pace. Meanwhile, computing demands …
defined by Moore's law continues, albeit at a slower pace. Meanwhile, computing demands …
Quantum optimization: Potential, challenges, and the path forward
Recent advances in quantum computers are demonstrating the ability to solve problems at a
scale beyond brute force classical simulation. As such, a widespread interest in quantum …
scale beyond brute force classical simulation. As such, a widespread interest in quantum …
Quantum-enhanced greedy combinatorial optimization solver
Combinatorial optimization is a broadly attractive area for potential quantum advantage, but
no quantum algorithm has yet made the leap. Noise in quantum hardware remains a …
no quantum algorithm has yet made the leap. Noise in quantum hardware remains a …