Results 61 to 70 of about 5,709 (252)

Multiscale quantum approximate optimization algorithm

Physical Review A
The quantum approximate optimization algorithm (QAOA) is one of the canonical algorithms designed to find approximate solutions to combinatorial optimization problems in current noisy intermediate-scale quantum (NISQ) devices. It is an active area of research to exhibit its speedup over classical algorithms. The performance of the QAOA at low depths is
openaire   +2 more sources

Mixed‐Metal Promotion in a Manganese‐Molybdenum Oxynitride as Catalyst to Integrate C─C and C─N Coupling Reactions for the Direct Synthesis of Acetonitrile from Syngas and Ammonia

Advanced Materials, EarlyView.
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje, Wilson Henao, Tania Rodenas, Patricia Concepción, Virginia Pérez Dieste, Alexander Missyul, Giovanni Agostini, Gonzalo Prieto   +7 more
wiley   +1 more source

Variational matrix product states for combinatorial optimization

Physical Review Research
To compute approximate solutions for combinatorial optimization problems, we describe variational methods based on the product state (PS) and matrix product state (MPS) ansätze.
Guillermo Preisser, Conor Mc Keever, Michael Lubasch   +2 more
doaj   +1 more source

Iterative quantum algorithm for combinatorial optimization based on quantum gradient descent

Results in Physics
Combinatorial optimization has wide and high-value applications in many fields of science and industry, but solving general combinatorial optimization problems is non-deterministic polynomial time (NP) hard.
Xin Yi, Jia-Cheng Huo, Yong-Pan Gao, Ling Fan, Ru Zhang, Cong Cao   +5 more
doaj   +1 more source

Classical variational simulation of the Quantum Approximate Optimization Algorithm

npj Quantum Information, 2021
A key open question in quantum computing is whether quantum algorithms can potentially offer a significant advantage over classical algorithms for tasks of practical interest.
Matija Medvidović, Giuseppe Carleo
doaj   +1 more source

Self‐Cooling Molecular Spin Qudits

Advanced Materials, EarlyView.
A material made of [GdEr] molecular dimers can encode a qudit and perform as a magnetic refrigerant. Microwave resonant pulses coherently manipulate its 16 spin states, while direct demagnetization measurements cool the material and a device down to temperatures below 1 K.
Elías Palacios, David Aguilà, David Gracia, Diamatoula Maniaki, Leoní A. Barrios, Alessandro Chiesa, Jesús I. Martínez, Valentin Novikov, Olivier Roubeau, Stefano Carretta, Marco Evangelisti, Guillem Aromí, Fernando Luis   +12 more
wiley   +1 more source

Elementary proof of QAOA convergence

New Journal of Physics
The quantum alternating operator ansatz (QAOA) and its predecessor, the quantum approximate optimization algorithm, are one of the most widely used quantum algorithms for solving combinatorial optimization problems.
Lennart Binkowski, Gereon Koßmann, Timo Ziegler, René Schwonnek   +3 more
doaj   +1 more source

Peptide conformational sampling using the Quantum Approximate Optimization Algorithm

npj Quantum Information, 2023
Protein folding has attracted considerable research effort in biochemistry in recent decades. In this work, we explore the potential of quantum computing to solve a simplified version of protein folding.
Sami Boulebnane, Xavier Lucas, Agnes Meyder, Stanislaw Adaszewski, Ashley Montanaro   +4 more
doaj   +1 more source

Quantum Approximate Optimization Algorithm for Test Case Optimization

IEEE Transactions on Software Engineering
Test case optimization (TCO) reduces software testing cost while preserving its effectiveness, but solving TCO problems for large-scale and complex systems requires substantial computational resources. Quantum approximate optimization algorithms (QAOAs) are promising combinatorial optimization algorithms that rely on quantum computational resources ...
Xinyi Wang 0004, Shaukat Ali 0001, Tao Yue 0002, Paolo Arcaini   +3 more
openaire   +2 more sources

Flexoelectrically Induced Polar Topology in Twisted SrTiO3 Membranes

Advanced Materials, EarlyView.
Twisted SrTiO3 bilayers host polar vortices of flexoelectric origin, revealed through combined experiment and theory. By reconstructing polarization from the toroidal moment of strain gradients, the work establishes a 3D chiral state with broken inversion and mirror symmetries.
Isabel Tenreiro, Hugo Aramberri, Víctor Rouco, Gabriel Sánchez‐Santolino, Mariona Cabero, Fernando Gallego, David Sánchez‐Manzano, José M. González‐Calbet, Federico Mompeán, Mar García‐Hernández, Alberto Rivera‐Calzada, Jorge Íñiguez‐González, Carlos León, Jacobo Santamaría   +13 more
wiley   +1 more source