Practical quantum advantage in quantum simulation

AJ Daley, I Bloch, C Kokail, S Flannigan, N Pearson… - Nature, 2022 - nature.com
The development of quantum computing across several technologies and platforms has
reached the point of having an advantage over classical computers for an artificial problem …

Ising machines as hardware solvers of combinatorial optimization problems

N Mohseni, PL McMahon, T Byrnes - Nature Reviews Physics, 2022 - nature.com
Ising machines are hardware solvers that aim to find the absolute or approximate ground
states of the Ising model. The Ising model is of fundamental computational interest because …

A race-track trapped-ion quantum processor

SA Moses, CH Baldwin, MS Allman, R Ancona… - Physical Review X, 2023 - APS
We describe and benchmark a new quantum charge-coupled device (QCCD) trapped-ion
quantum computer based on a linear trap with periodic boundary conditions, which …

Quantum optimal control in quantum technologies. Strategic report on current status, visions and goals for research in Europe

CP Koch, U Boscain, T Calarco, G Dirr… - EPJ Quantum …, 2022 - epjqt.epj.org
Quantum optimal control, a toolbox for devising and implementing the shapes of external
fields that accomplish given tasks in the operation of a quantum device in the best way …

Quantum optimization of maximum independent set using Rydberg atom arrays

S Ebadi, A Keesling, M Cain, TT Wang, H Levine… - Science, 2022 - science.org
Realizing quantum speedup for practically relevant, computationally hard problems is a
central challenge in quantum information science. Using Rydberg atom arrays with up to …

Quantum science with optical tweezer arrays of ultracold atoms and molecules

AM Kaufman, KK Ni - Nature Physics, 2021 - nature.com
Single atoms and molecules can be trapped in tightly focused beams of light that form
'optical tweezers', affording exquisite capabilities for the control and detection of individual …

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 …

Noisy intermediate-scale quantum algorithms

K Bharti, A Cervera-Lierta, TH Kyaw, T Haug… - Reviews of Modern …, 2022 - APS
A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …

Variational quantum algorithms

M Cerezo, A Arrasmith, R Babbush… - Nature Reviews …, 2021 - nature.com
Applications such as simulating complicated quantum systems or solving large-scale linear
algebra problems are very challenging for classical computers, owing to the extremely high …

Quantum phases of matter on a 256-atom programmable quantum simulator

S Ebadi, TT Wang, H Levine, A Keesling, G Semeghini… - Nature, 2021 - nature.com
Motivated by far-reaching applications ranging from quantum simulations of complex
processes in physics and chemistry to quantum information processing, a broad effort is …