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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

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Quantum Enhancement in Dark Matter Detection with Quantum Computation.

Shion Chen¹, Hajime Fukuda², Toshiaki Inada¹

¹International Center for Elementary Particle Physics (ICEPP), <a href="https://ror.org/057zh3y96">The University of Tokyo</a>, Tokyo 113-0033, Japan.

Physical Review Letters

|July 29, 2024

Summary

This summary is machine-generated.

We developed a quantum circuit method to boost dark matter detection rates using qubits. This quantum interference technique enhances signal rates quadratically with the number of qubits, improving sensitivity for wavelike dark matter searches.

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Area of Science:

Quantum Physics
Particle Astrophysics
Quantum Computing

Background:

Wavelike dark matter detection requires sensitive quantum sensors.
Qubits, fundamental units in quantum computers, show promise as dark matter detectors.
Current detection methods may have limitations in signal rate scaling.

Purpose of the Study:

To propose a novel quantum circuit method for enhancing signal rates in qubit-based dark matter detection.
To demonstrate a quadratic scaling of signal rate with the number of sensor qubits.
To ensure the proposed method is robust against quantum noise, specifically dephasing.

Main Methods:

Designing a specific quantum circuit to manipulate sensor qubits.
Utilizing quantum interference to coherently combine phase evolution from dark matter interactions.
Analyzing the signal rate scaling with respect to the number of qubits (n_q).
Assessing the circuit's fault tolerance against dephasing noise.

Main Results:

The proposed quantum circuit achieves a signal rate scaling proportional to n_q^2, a significant improvement over linear scaling.
This quadratic enhancement leads to a substantial increase in signal rate for experiments with many sensor qubits.
The quantum circuit demonstrates fault tolerance to dephasing noise, a common challenge in quantum systems.

Conclusions:

The novel quantum circuit method offers a significant boost in sensitivity for qubit-based dark matter detection.
The quadratic scaling provides a pathway to enhanced discovery potential for wavelike dark matter.
The method's applicability extends to various quantum computing platforms, facilitating broader adoption.