Results 221 to 230 of about 3,092 (256)

Quantum AI in Speech Emotion Recognition. [PDF]

Entropy (Basel)
Norval M, Wang Z.
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Constrained shadow tomography for molecular simulation on quantum devices. [PDF]

Chem Sci
Avdic I, Wang Y, Rose M, Payne Torres LI, Schouten AO, Sung KJ, Mazziotti DA.   +6 more
europepmc   +1 more source

Training-Free Quantum Architecture Search Under Realistic Noise via Expressibility-Guided Evolution. [PDF]

Entropy (Basel)
Mousavi S, Mousavi S, Pettersson P, Daneshtalab M.   +3 more
europepmc   +1 more source

MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning in the NISQ Era. [PDF]

Sci Data
Placidi L, Hataya R, Mori T, Aoyama K, Morisaki H, Mitarai K, Fujii K.   +6 more
europepmc   +1 more source

Combinatorial optimization enhanced by shallow quantum circuits with 104 superconducting qubits. [PDF]

Natl Sci Rev
Zhu X, Zou Z, Jin F, Mosharev P, Luo M, Wu Y, Chen J, Zhang C, Gao Y, Wang N, Zou Y, Zhang A, Shen F, Bao Z, Zhu Z, Zhong J, Cui Z, Han Y, He Y, Wang H, Yang JN, Wang Y, Shen J, Liu G, Song Z, Deng J, Dong H, Zhang P, Song C, Wang Z, Li H, Guo Q, Yung MH, Wang H.   +33 more
europepmc   +1 more source

Improving Energy and Molecular Properties by Convergence of the One-Particle Reduced Density Matrix in Variational Quantum Eigensolvers (VQE). [PDF]

J Comput Chem
de Lima AM, Teixeira ES, Silva EDRA, Longo RL.   +3 more
europepmc   +1 more source

Coalition of explainable artificial intelligence and quantum computing in precision medicine. [PDF]

Comput Struct Biotechnol J
Ray S, Bhattacharya P, Mattar EA, Mukhopadhyay A.   +3 more
europepmc   +1 more source

Variational quantum algorithms [PDF]

Nature Reviews Physics, 2021
Applications such as simulating complicated quantum systems or solving large-scale linear algebra problems are very challenging for classical computers due to the extremely high computational cost. Quantum computers promise a solution, although fault-tolerant quantum computers will likely not be available in the near future.
Ryan Babbush, Patrick Coles, Suguru Endo   +2 more
exaly   +3 more sources

Training Variational Quantum Algorithms Is NP-Hard [PDF]

Physical Review Letters, 2021
Variational quantum algorithms are proposed to solve relevant computational problems on near term quantum devices. Popular versions are variational quantum eigensolvers and quantum ap- proximate optimization algorithms that solve ground state problems from quantum chemistry and binary optimization problems, respectively.
Martin Kliesch, Lennart Bittel
exaly   +4 more sources