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NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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Aliasing01:18

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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
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The Quantum-Mechanical Model of an Atom02:45

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Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
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Related Experiment Video

Updated: Jun 18, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Quantum advantage and stability to errors in analogue quantum simulators.

Rahul Trivedi1,2,3, Adrian Franco Rubio4,5, J Ignacio Cirac6,7

  • 1Max-Planck-Institut für Quantenoptik, Garching, Germany. rahul.trivedi@mpq.mpg.de.

Nature Communications
|August 2, 2024
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Summary
This summary is machine-generated.

Noisy quantum simulators can offer an advantage for complex many-body problems. This study proves stability in certain quantum systems, showing potential for quantum advantage even with errors and without full error correction.

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Area of Science:

  • Quantum computing
  • Condensed matter physics
  • Computational physics

Background:

  • Quantum hardware can function as analogue quantum simulators for many-body problems.
  • Errors in these systems raise questions about their advantage over classical computers.

Purpose of the Study:

  • To assess the potential of noisy analogue quantum simulators for quantum advantage.
  • To analyze the stability of these systems against errors in equilibrium and dynamic scenarios.

Main Methods:

  • Formulated a system-size independent notion of stability against extensive errors.
  • Proved stability for Gaussian fermion models and a restricted class of spin systems.
  • Analyzed the implications of stability for achieving quantum advantage.

Main Results:

  • Demonstrated stability for Gaussian fermion models, including critical models with long-range correlations.
  • Showed that stability can lead to a quantum advantage for computing thermodynamic limits.
  • This advantage is achievable with a constant error rate and without explicit error correction.

Conclusions:

  • Noisy analogue quantum simulators can provide a quantum advantage for specific many-body problems.
  • The demonstrated stability is key to overcoming limitations posed by errors.
  • This research advances the understanding of practical quantum computation with current hardware.