Results 41 to 50 of about 41,319 (304)
The abstract structure of quantum algorithms
, 2015 Quantum information brings together theories of physics and computer science. This synthesis challenges the basic intuitions of both fields. In this thesis, we show that adopting a unified and general language for process theories advances foundations ...
Zeng, William J, William J Zeng
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Recompilation-enhanced simulation of electron–phonon dynamics on IBM quantum computers
New Journal of Physics, 2022 Simulating quantum systems is believed to be one of the first applications for which quantum computers may demonstrate a useful advantage. For many problems in physics, we are interested in studying the evolution of the electron–phonon Hamiltonian, for ...
Benjamin Jaderberg +3 more
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Hybrid Quantum-Classical Eigensolver without Variation or Parametric Gates
Quantum Reports, 2021 The use of near-term quantum devices that lack quantum error correction, for addressing quantum chemistry and physics problems, requires hybrid quantum-classical algorithms and techniques. Here, we present a process for obtaining the eigenenergy spectrum
Pejman Jouzdani, Stefan Bringuier
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Quantum Algorithms: Application and Feasibility [PDF]
In this paper, we evaluate the feasibility of quantum algorithms for practical applications and categorize them into three types: green, yellow, and red. Green means the most feasible, while red means the least feasible. We select four quantum algorithms
Halunen, Kimmo +3 more
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Quantum Effects in Algorithms [PDF]
, 1999 We discuss some seemingly paradoxical yet valid effects of quantum physics in information processing. Firstly, we argue that the act of ``doing nothing'' on part of an entangled quantum system is a highly non-trivial operation and that it is the essential ingredient underlying the computational speedup in the known quantum algorithms. Secondly, we show
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Portfolios of Quantum Algorithms [PDF]
Physical Review Letters, 2001 Physical Review ...
S M, Maurer, T, Hogg, B A, Huberman
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Quantum Algorithms for Estimating Quantum Entropies
Physical Review Applied, 2023 36 pages, 8 ...
Youle Wang, Benchi Zhao, Xin Wang
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Variational quantum generative modeling by sampling expectation values of tunable observables
npj Quantum InformationExpectation Value Samplers (EVSs) are quantum generative models that can learn high-dimensional continuous distributions by measuring the expectation values of parameterized quantum circuits. However, these models can demand impractical quantum resources
Kevin Shen +5 more
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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
Exponential quantum advantages in learning quantum observables from classical data
npj Quantum InformationQuantum computers are believed to bring computational advantages in simulating quantum many-body systems. However, recent works have shown that classical machine learning algorithms are able to predict numerous properties of quantum systems with ...
Riccardo Molteni +2 more
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