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Exceptional Points in Quantum Sensing: A New Approach

Exploring how exceptional points enhance quantum sensing precision and their simulation with quantum computers.

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Exceptional Points (EPs) are special situations in certain physical systems where specific properties converge, leading to unique behaviors. The study of EPs has gained attention in Quantum Sensing, which is the process of measuring physical quantities with precision using quantum effects. The purpose of this article is to discuss how EPs can be applied in quantum sensing, particularly how they can be simulated using quantum computers.

Quantum Computers and Non-Hermitian Systems

Quantum computers operate using quantum bits, or qubits, which can exist in multiple states at once. Operations performed on these qubits are unitary transformations, meaning they preserve the total probability of the quantum state. However, non-hermitian systems do not follow the same rules. They can be tricky to understand since they might lead to complex behaviors, including EPs.

To make sense of non-hermitian systems on quantum computers, researchers have proposed various methods. One such method involves using Ancilla Qubits-additional qubits that help in processing the information without altering the core operations of the main qubits. This method allows researchers to explore the behaviors of non-hermitian systems while still using the existing structures of quantum computers.

The Role of Ancilla Qubits

The ancilla-based method is crucial for simulating non-hermitian dynamics. By coupling the main qubits to an ancilla qubit, researchers can create a larger quantum system while maintaining the underlying unitary properties. This enables researchers to explore how EPs behave and how they can be used in quantum sensing strategies.

When simulating a non-hermitian system, the first step involves manipulating the non-hermitian Hamiltonian-a mathematical object that describes the energy and dynamics of the system. However, due to the nature of non-hermitian systems, these Hamiltonians can become non-diagonalizable, meaning they don’t have a complete set of eigenstates. This is where the concept of exceptional points comes in.

At these points, the eigenvalues and eigenstates coincide, resulting in unique characteristics that can be exploited for high-precision measurements.

Exceptional Points and Their Significance

As mentioned earlier, exceptional points can lead to significant advantages in quantum sensing. At these points, certain parameters can diverge, which helps increase the precision of measurements. The greater the divergence, the better the estimation of the parameter being observed.

Researchers have shown that the behavior of the Quantum Fisher Information (QFI), a key measure in quantum estimation theory, can change significantly at exceptional points. The QFI quantifies how much information about a parameter can be obtained through measurements.

When a system is at an EP, the QFI can show peaks or divergences, indicating increased sensitivity to changes in the parameter being estimated. This phenomenon allows for detecting very subtle signals, which is precisely what is needed for advanced sensing applications.

Noise in Quantum Systems

One challenge in quantum sensing is the presence of noise. Quantum systems are often affected by their environment, which can introduce errors and reduce the effectiveness of the measurements. It is essential to consider how noise impacts the QFI at exceptional points since it can limit the advantages that EPs provide.

Various types of noise can affect quantum systems, including amplitude damping and different forms of bit-flip errors (common types of errors in quantum computing). Researchers have studied how these noise models interact with exceptional points and how they influence the QFI.

It has been found that while noise can diminish the QFI, certain non-hermitian systems retain a degree of robustness against these errors. Understanding this robustness is crucial for developing reliable quantum sensors that can maintain performance levels in noisy environments.

Simulation of Non-Hermitian Dynamics

To practically explore exceptional points and their potential applications in quantum sensing, researchers simulate the dynamics of non-hermitian systems on quantum computers. This involves designing circuits that mimic the behavior of these systems, including their properties at EPs.

The simulation process includes several steps:

  1. Singular Value Decomposition (SVD): A technique that helps break down the non-hermitian transformation into simpler unitary components, allowing for a manageable representation.

  2. Normalization: Since non-hermitian operations might not preserve the total probability, they need to be normalized to ensure realistic outcomes from quantum measurements.

  3. Ancilla Involvement: The use of ancilla qubits is crucial at this stage. By implementing joint operations on the main qubits and the ancilla, researchers can derive the desired non-hermitian evolution without disrupting the integrity of the quantum system.

  4. Post-selection: By applying a method where only successful outcomes are considered, researchers can focus on specific measurement results that are relevant to the system’s behavior at the EP.

  5. Fidelity Measurement: The fidelity, or how closely the output of the simulation matches the expected theoretical results, is measured. This involves additional tests such as the SWAP test, which compares two quantum states.

Through this structured simulation approach, researchers can extract valuable information about the behavior of non-hermitian systems, particularly at exceptional points, and assess their potential in quantum sensing applications.

Investigating Multiple Exceptional Points

Some systems exhibit more than one exceptional point, leading to rich dynamics and even greater potential for precision sensing. Multiple EPs offer more opportunities for enhancing QFI, allowing researchers to identify various parameters with high accuracy.

When simulating such systems, it becomes crucial to examine how the QFI behaves across these multiple EPs. The recognition of different EPs in a single setup could mean that the sensor can operate effectively across a range of parameter values, increasing its versatility.

Practical Applications of Quantum Sensing with EPs

The ability to utilize exceptional points in quantum sensing has practical implications across multiple fields. One immediate application is in the area of detecting weak signals that are typically hard to measure.

In real-world scenarios, having a sensor that can leverage the benefits of exceptional points means being able to detect very small changes in various physical quantities, such as electromagnetic fields or temperature fluctuations. This aids in areas like medical diagnostics, environmental monitoring, and advanced communication technologies.

Challenges and Limitations in Current Approaches

Despite the exciting potential of using exceptional points in quantum sensing, there are still several challenges to address.

  1. Resource Overhead: Using ancilla qubits and implementing normalization can lead to increased complexity in quantum circuits, requiring more resources and time for simulations.

  2. Noise Management: While some non-hermitian systems are robust against noise, it is crucial to develop methods that ensure effective performance even in more challenging noisy environments.

  3. Higher-Dimensional Systems: The current methods are primarily applicable to two-level systems. For more complex systems involving multiple dimensions, different strategies must be devised to explore their behaviors effectively.

  4. Circuit Depth: The use of post-selection can lead to deeper circuits, which might not always be feasible on practical quantum hardware.

Overcoming these limitations will require innovative approaches in the design of quantum circuits, noise-reduction strategies, and possibly new theoretical frameworks to understand higher-dimensional exceptional points.

Future Prospects in Quantum Sensing with Exceptional Points

The study of exceptional points in quantum sensing is still an emerging field with considerable room for growth. As researchers continue to explore these intriguing systems and their properties, the potential for developing new, highly sensitive sensors grows.

Future advancements in quantum hardware will also play a significant role in the practical application of these concepts. Improvements in error rates, circuit complexity, and the ability to manage noise will pave the way for more robust quantum sensors.

Additionally, as understanding of non-hermitian dynamics deepens, new applications may arise, expanding the potential benefits of employing exceptional points in various fields.

Conclusion

Exceptional points provide a fascinating insight into advanced quantum sensing techniques. By simulating non-hermitian dynamics through innovative methods like using ancilla qubits, researchers can explore the rich behaviors of these systems. As this area of study continues to evolve, the promise of using EPs for precision measurement opens up exciting possibilities for the future of quantum technology.

Original Source

Title: Simulation of exceptional-point systems on quantum computers for quantum sensing

Abstract: There has been debate around applicability of exceptional points (EP) for quantum sensing. To resolve this, we first explore how to experimentally implement the nonhermitian non-diagonalizable Hamiltonians, that exhibit EPs, in quantum computers which run on unitary gates. We propose to use an ancilla-based method in this regard. Next, we show how such Hamiltonians can be used for parameter estimation using quantum computers and analyze its performance in terms of the Quantum Fisher Information ($QFI$) at EPs, both without noise and in presence of noise. It is well known that $QFI$ of a parameter to be estimated is inversely related to the variance of the parameter by the quantum Cramer-Rao bound. Therefore the divergence of the $QFI$ at EPs promise sensing advantages. We experimentally demonstrate in a cloud quantum architecture and theoretically show, using Puiseux series, that the $QFI$ indeed diverges in such EP systems which were earlier considered to be non-divergent.

Authors: Chetan Waghela, Shubhrangshu Dasgupta

Last Update: 2024-01-11 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2304.12181

Source PDF: https://arxiv.org/pdf/2304.12181

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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