Direct Probe of Topology and Geometry of Quantum States on IBM Q
- URL: http://arxiv.org/abs/2403.14249v2
- Date: Thu, 6 Jun 2024 11:36:38 GMT
- Title: Direct Probe of Topology and Geometry of Quantum States on IBM Q
- Authors: Tianqi Chen, Hai-Tao Ding, Ruizhe Shen, Shi-Liang Zhu, Jiangbin Gong,
- Abstract summary: We show that a density matrix form of the quantum geometric tensor (QGT) can be explicitly re-constructed from Pauli operator measurements on a quantum circuit.
We propose two algorithms, suitable for IBM quantum computers, to directly probe QGT.
Explicit results obtained from IBM Q a Chern insulator model are presented and analysed.
- Score: 2.7801206308522417
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The concepts of topology and geometry are of critical importance in exploring exotic phases of quantum matter. Though they have been investigated on various experimental platforms, to date a direct probe of topological and geometric properties on a universal quantum computer even for a minimum model is still in vain. In this work, we first show that a density matrix form of the quantum geometric tensor (QGT) can be explicitly re-constructed from Pauli operator measurements on a quantum circuit. We then propose two algorithms, suitable for IBM quantum computers, to directly probe QGT. The first algorithm is a variational quantum algorithm particularly suitable for Noisy Intermediate-Scale Quantum (NISQ)-era devices, whereas the second one is a pure quantum algorithm based on quantum imaginary time evolution. Explicit results obtained from IBM Q simulating a Chern insulator model are presented and analysed. Our results indicate that transmon qubit-based universal quantum computers have the potential to directly simulate and investigate topological and geometric properties of a quantum system.
Related papers
- Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits [63.733312560668274]
Given a quantum circuit containing d tunable RZ gates and G-d Clifford gates, can a learner perform purely classical inference to efficiently predict its linear properties?
We prove that the sample complexity scaling linearly in d is necessary and sufficient to achieve a small prediction error, while the corresponding computational complexity may scale exponentially in d.
We devise a kernel-based learning model capable of trading off prediction error and computational complexity, transitioning from exponential to scaling in many practical settings.
arXiv Detail & Related papers (2024-08-22T08:21:28Z) - Quantum computing topological invariants of two-dimensional quantum matter [0.0]
We present two quantum circuits for calculating Chern numbers of two-dimensional quantum matter on quantum computers.
First algorithm uses many qubits, and we analyze it using a tensor-network simulator of quantum circuits.
Second circuit uses fewer qubits, and we implement it experimentally on a quantum computer based on superconducting qubits.
arXiv Detail & Related papers (2024-04-09T06:22:50Z) - Quantum data learning for quantum simulations in high-energy physics [55.41644538483948]
We explore the applicability of quantum-data learning to practical problems in high-energy physics.
We make use of ansatz based on quantum convolutional neural networks and numerically show that it is capable of recognizing quantum phases of ground states.
The observation of non-trivial learning properties demonstrated in these benchmarks will motivate further exploration of the quantum-data learning architecture in high-energy physics.
arXiv Detail & Related papers (2023-06-29T18:00:01Z) - Quantum Machine Learning: from physics to software engineering [58.720142291102135]
We show how classical machine learning approach can help improve the facilities of quantum computers.
We discuss how quantum algorithms and quantum computers may be useful for solving classical machine learning tasks.
arXiv Detail & Related papers (2023-01-04T23:37:45Z) - Scalable Simulation of Quantum Measurement Process with Quantum
Computers [13.14263204660076]
We propose qubit models to emulate the quantum measurement process.
One model is motivated by single-photon detection and the other by spin measurement.
We generate Schr"odinger cat-like state, and their corresponding quantum circuits are shown explicitly.
arXiv Detail & Related papers (2022-06-28T14:21:43Z) - Recompilation-enhanced simulation of electron-phonon dynamics on IBM
Quantum computers [62.997667081978825]
We consider the absolute resource cost for gate-based quantum simulation of small electron-phonon systems.
We perform experiments on IBM quantum hardware for both weak and strong electron-phonon coupling.
Despite significant device noise, through the use of approximate circuit recompilation we obtain electron-phonon dynamics on current quantum computers comparable to exact diagonalisation.
arXiv Detail & Related papers (2022-02-16T19:00:00Z) - Towards Quantum Simulations in Particle Physics and Beyond on Noisy
Intermediate-Scale Quantum Devices [1.7242431149740054]
We review two algorithmic advances that bring us closer to reliable quantum simulations of model systems in high energy physics.
The first method is the dimensional expressivity analysis of quantum circuits, which allows for constructing minimal but maximally expressive quantum circuits.
The second method is an efficient mitigation of readout errors on quantum devices.
arXiv Detail & Related papers (2021-10-07T22:13:37Z) - Variational Quantum Anomaly Detection: Unsupervised mapping of phase
diagrams on a physical quantum computer [0.0]
We propose variational quantum anomaly detection, an unsupervised quantum machine learning algorithm to analyze quantum data from quantum simulation.
The algorithm is used to extract the phase diagram of a system with no prior physical knowledge.
We show that it can be used with readily accessible devices nowadays and perform the algorithm on a real quantum computer.
arXiv Detail & Related papers (2021-06-15T06:54:47Z) - Probing Topological Spin Liquids on a Programmable Quantum Simulator [40.96261204117952]
We use a 219-atom programmable quantum simulator to probe quantum spin liquid states.
In our approach, arrays of atoms are placed on the links of a kagome lattice and evolution under Rydberg blockade creates frustrated quantum states.
The onset of a quantum spin liquid phase of the paradigmatic toric code type is detected by evaluating topological string operators.
arXiv Detail & Related papers (2021-04-09T00:18:12Z) - Light-Front Field Theory on Current Quantum Computers [0.06524460254566902]
We present a quantum algorithm for simulation of quantum field theory in the light-front formulation.
We demonstrate how existing quantum devices can be used to study the structure of bound states in relativistic nuclear physics.
arXiv Detail & Related papers (2020-09-16T18:32:00Z) - Probing the Universality of Topological Defect Formation in a Quantum
Annealer: Kibble-Zurek Mechanism and Beyond [46.39654665163597]
We report on experimental tests of topological defect formation via the one-dimensional transverse-field Ising model.
We find that the quantum simulator results can indeed be explained by the KZM for open-system quantum dynamics with phase-flip errors.
This implies that the theoretical predictions of the generalized KZM theory, which assumes isolation from the environment, applies beyond its original scope to an open system.
arXiv Detail & Related papers (2020-01-31T02:55:35Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.