Results 31 to 40 of about 743,578 (322)
Effective Hamiltonians and Counterterms for Hamiltonian Truncation
Journal of High Energy Physics, 2023 Abstract We outline a procedure for applying Hamiltonian Truncation to Quantum Field Theories (QFTs) that have UV divergences. To do this, we derive a novel representation of an Effective Hamiltonian which makes manifest some of its important properties (e.g.
Miró, Joan, Ingoldby, James
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Random Compiler for Fast Hamiltonian Simulation. [PDF]
Physical Review Letters, 2018 The dynamics of a quantum system can be simulated using a quantum computer by breaking down the unitary into a quantum circuit of one and two qubit gates.
E. Campbell
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On degree-sequence characterization and the extremal number of edges for various Hamiltonian properties under fault tolerance [PDF]
Discrete Mathematics & Theoretical Computer Science, 2016 Assume that $n, \delta ,k$ are integers with $0 \leq k < \delta < n$. Given a graph $G=(V,E)$ with $|V|=n$. The symbol $G-F, F \subseteq V$, denotes the graph with $V(G-F)=V-F$, and $E(G-F)$ obtained by $E$ after deleting the edges with at least one ...
Shih-Yan Chen, Shin-Shin Kao, Hsun Su
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On learning Hamiltonian systems from data. [PDF]
Chaos, 2019 Concise, accurate descriptions of physical systems through their conserved quantities abound in the natural sciences. In data science, however, current research often focuses on regression problems, without routinely incorporating additional assumptions ...
Tom S. Bertalan +3 more
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Input-output decoupling of Hamiltonian systems: The linear case [PDF]
, 1985 In this note we give necessary and sufficient conditions for a linear Hamiltonian system to be input-output decouplable by Hamiltonian feedback, i.e. feedback that preserves the Hamiltonian structure.
Nijmeijer, H.
core +3 more sources
Time-dependent Hamiltonian simulation with $L^1$-norm scaling [PDF]
Quantum, 2019 The difficulty of simulating quantum dynamics depends on the norm of the Hamiltonian. When the Hamiltonian varies with time, the simulation complexity should only depend on this quantity instantaneously.
D. Berry +4 more
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Energies, 2020 To solve the contradiction between dynamic performance and steady-state performance of the robot system, a smooth-switching control strategy is proposed.
Anxing Liu, Haisheng Yu
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Simulating Ising-Like Models on Quantum Computer
Современные информационные технологии и IT-образование, 2023 Due to the complexity of lattice models of statistical physics, there is interest in developing new approaches to study them, including those using quantum technologies.
Andrey Andreev, Pavel Khrapov
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Experimental quantum Hamiltonian learning [PDF]
Nature Physics, 2017 With the help of a quantum simulator and Bayesian inference it is possible to determine the unknown Hamiltonian of a quantum system. An experiment demonstrates this using a photonic quantum simulator and a solid-state system.
Jianwei Wang +10 more
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Learning a Local Hamiltonian from Local Measurements. [PDF]
Physical Review Letters, 2018 Recovering an unknown Hamiltonian from measurements is an increasingly important task for certification of noisy quantum devices and simulators.
Eyal Bairey, I. Arad, N. Lindner
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