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Related Concept Videos

Transfer Function to State Space01:23

Transfer Function to State Space

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State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
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The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
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Generation and Coherent Control of Pulsed Quantum Frequency Combs
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Matrix Product States and First Quantization.

Jheng-Wei Li1, Xavier Waintal1

  • 1CEA, Université Grenoble Alpes, Grenoble INP, IRIG, Pheliqs, F-38000 Grenoble, France.

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|April 3, 2026
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Summary
This summary is machine-generated.

We introduce a first-quantized matrix product state (MPS) approach for quantum many-body systems. This method significantly reduces entanglement entropy in simulations, outperforming traditional second-quantized methods.

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Area of Science:

  • Quantum Many-Body Physics
  • Computational Physics

Background:

  • Fermionic entanglement is typically high in first quantization but low in second quantization.
  • Matrix Product State (MPS) methods, effective for moderate entanglement, are usually formulated in second quantization.

Purpose of the Study:

  • To develop a first-quantized MPS approach for simulating quantum many-body systems.
  • To address the challenge of high fermionic entanglement in first quantization for MPS methods.

Main Methods:

  • Introduced a novel first-quantized MPS formulation.
  • Reformulated the handling of fermionic antisymmetry within the MPS framework.
  • Applied the method to the one-dimensional t-V model for ground state and time evolution.

Main Results:

  • Achieved MPS with entanglement levels comparable to second-quantization methods.
  • Demonstrated natural extension to long-range interactions in the Wigner crystal regime for ground states.
  • Observed significantly smaller entanglement entropy in first quantization compared to second quantization for time evolution.

Conclusions:

  • The developed first-quantized MPS approach offers a more efficient simulation of fermionic systems.
  • This method shows promise for studying systems with long-range interactions and for real-time dynamics.