Quantum annealing for industry applications: Introduction and review

S Yarkoni, E Raponi, T Bäck… - Reports on Progress in …, 2022 - iopscience.iop.org
Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …

A review on quantum approximate optimization algorithm and its variants

K Blekos, D Brand, A Ceschini, CH Chou, RH Li… - Physics Reports, 2024 - Elsevier
Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising
variational quantum algorithm that aims to solve combinatorial optimization problems that …

Perspectives of quantum annealing: Methods and implementations

P Hauke, HG Katzgraber, W Lechner… - Reports on Progress …, 2020 - iopscience.iop.org
Quantum annealing is a computing paradigm that has the ambitious goal of efficiently
solving large-scale combinatorial optimization problems of practical importance. However …

Superconducting circuit companion—an introduction with worked examples

SE Rasmussen, KS Christensen, SP Pedersen… - PRX Quantum, 2021 - APS
This tutorial aims at giving an introductory treatment of the circuit analysis of
superconducting qubits, ie, two-level systems in superconducting circuits. It also touches …

Quantum-inspired encoding enhances stochastic sampling of soft matter systems

F Slongo, P Hauke, P Faccioli, C Micheletti - Science Advances, 2023 - science.org
Quantum advantage in solving physical problems is still hard to assess due to hardware
limitations. However, algorithms designed for quantum computers may engender …

Quantum annealing with all-to-all connected nonlinear oscillators

S Puri, CK Andersen, AL Grimsmo, A Blais - Nature communications, 2017 - nature.com
Quantum annealing aims at solving combinatorial optimization problems mapped to Ising
interactions between quantum spins. Here, with the objective of developing a noise-resilient …

Quantum computation based on quantum adiabatic bifurcations of Kerr-nonlinear parametric oscillators

H Goto - Journal of the Physical Society of Japan, 2019 - journals.jps.jp
Quantum computers with Kerr-nonlinear parametric oscillators (KPOs) have recently been
proposed by the author and others. Quantum computation using KPOs is based on quantum …

Ultrafast superconducting qubit readout with the quarton coupler

Y Ye, JB Kline, S Chen, A Yen, KP O'Brien - Science Advances, 2024 - science.org
Fast, high-fidelity, and quantum nondemolition (QND) qubit readout is an essential element
of quantum information processing. For superconducting qubits, state-of-the-art readout is …

Robust quantum optimizer with full connectivity

SE Nigg, N Lörch, RP Tiwari - Science advances, 2017 - science.org
Quantum phenomena have the potential to speed up the solution of hard optimization
problems. For example, quantum annealing, based on the quantum tunneling effect, has …

Forecasting financial crashes with quantum computing

R Orús, S Mugel, E Lizaso - Physical Review A, 2019 - APS
A key problem in financial mathematics is the forecasting of financial crashes: If we perturb
asset prices, will financial institutions fail on a massive scale? This was recently shown to be …