Results 31 to 40 of about 3,092 (256)

Quadratic Clifford expansion for efficient benchmarking and initialization of variational quantum algorithms

Physical Review Research, 2022
Variational quantum algorithms are considered to be appealing applications of near-term quantum computers. However, it has been unclear whether they can outperform classical algorithms or not.
Kosuke Mitarai, Yasunari Suzuki, Wataru Mizukami, Yuya O. Nakagawa, Keisuke Fujii   +4 more
doaj   +1 more source

Variational quantum algorithms

, 2022
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 computational cost. Quantum computers promise a solution, although fault-tolerant quantum computers will probably not be available in the near future.
Cerezo, M, Arrasmith, A, Babbush, R, Benjamin, SC, Endo, S, Fujii, K, McClean, JR, Mitarai, K, Yuan, X, Cincio, L, Coles, PJ   +10 more
openaire   +1 more source

Coherence and Entanglement Dynamics in Training Variational Quantum Perceptron

Entropy, 2020
In quantum computation, what contributes supremacy of quantum computation? One of the candidates is known to be a quantum coherence because it is a resource used in the various quantum algorithms.
Min Namkung, Younghun Kwon
doaj   +1 more source

A variational toolbox for quantum multi-parameter estimation

npj Quantum Information, 2021
With an ever-expanding ecosystem of noisy and intermediate-scale quantum devices, exploring their possible applications is a rapidly growing field of quantum information science.
Johannes Jakob Meyer, Johannes Borregaard, Jens Eisert   +2 more
doaj   +1 more source

Four-qubit variational algorithms in silicon photonics with integrated entangled photon sources

npj Quantum Information
Variational quantum algorithms are hybrid quantum-classical approaches extensively studied for their potential to leverage near-term quantum hardware for computational advantages.
Alessio Baldazzi, Matteo Sanna, Massimo Borghi, Stefano Azzini, Lorenzo Pavesi   +4 more
doaj   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

EQC

Proceedings of the 49th Annual International Symposium on Computer Architecture, 2022
Variational quantum algorithm (VQA), which is comprised of a classical optimizer and a parameterized quantum circuit, emerges as one of the most promising approaches for harvesting the power of quantum computers in the noisy intermediate scale quantum (NISQ) era.
Samuel A. Stein, Nathan Wiebe, Yufei Ding 0001, Bo Peng 0024, Karol Kowalski, Nathan A. Baker, James Ang 0001, Ang Li 0006   +7 more
openaire   +2 more sources

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Matrix product state on a quantum computer

New Journal of Physics
Solving quantum many-body systems is one of the most significant regimes where quantum computing applies. Currently, as a hardware-friendly computational paradigms, variational algorithms are often used for finding the ground energy of quantum many-body ...
Yong Liu, Guangyao Huang, Yizhi Wang, Junjie Wu   +3 more
doaj   +1 more source

Optimizing Variational Quantum Neural Networks Based on Collective Intelligence

Mathematics
Quantum machine learning stands out as one of the most promising applications of quantum computing, widely believed to possess potential quantum advantages.
Zitong Li, Tailong Xiao, Xiaoyang Deng, Guihua Zeng, Weimin Li   +4 more
doaj   +1 more source