Quantum Algorithms for Inverse Participation Ratio Estimation in multi-qubit and multi-qudit systems
- URL: http://arxiv.org/abs/2405.03338v1
- Date: Mon, 6 May 2024 10:39:03 GMT
- Title: Quantum Algorithms for Inverse Participation Ratio Estimation in multi-qubit and multi-qudit systems
- Authors: Yingjian Liu, Piotr Sierant, Paolo Stornati, Maciej Lewenstein, Marcin Płodzień,
- Abstract summary: Inverse Participation Ratios quantify the spread of a quantum state over a selected basis of the Hilbert space.
We propose three quantum algorithms to estimate IPRs on multi-qubit and multi-qudit quantum devices.
- Score: 0.24466725954625895
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Inverse Participation Ratios (IPRs) and the related Participation Entropies quantify the spread of a quantum state over a selected basis of the Hilbert space, offering insights into the equilibrium and non-equilibrium properties of the system. In this work, we propose three quantum algorithms to estimate IPRs on multi-qubit and multi-qudit quantum devices. The first algorithm allows for the estimation of IPRs in the computational basis by single-qubit measurements, while the second one enables measurement of IPR in the eigenbasis of a selected Hamiltonian, without the knowledge about the eigenstates of the system. Next, we provide an algorithm for IPR in the computational basis for a multi-qudit system. We discuss resources required by the algorithms and benchmark them by investigating the one-axis twisting protocol, the thermalization in a deformed PXP model, and the ground state of a spin-$1$ AKLT chain in a transverse field.
Related papers
- Benchmarking Variational Quantum Eigensolvers for Entanglement Detection in Many-Body Hamiltonian Ground States [37.69303106863453]
Variational quantum algorithms (VQAs) have emerged in recent years as a promise to obtain quantum advantage.
We use a specific class of VQA named variational quantum eigensolvers (VQEs) to benchmark them at entanglement witnessing and entangled ground state detection.
Quantum circuits whose structure is inspired by the Hamiltonian interactions presented better results on cost function estimation than problem-agnostic circuits.
arXiv Detail & Related papers (2024-07-05T12:06:40Z) - Non-unitary Coupled Cluster Enabled by Mid-circuit Measurements on Quantum Computers [37.69303106863453]
We propose a state preparation method based on coupled cluster (CC) theory, which is a pillar of quantum chemistry on classical computers.
Our approach leads to a reduction of the classical computation overhead, and the number of CNOT and T gates by 28% and 57% on average.
arXiv Detail & Related papers (2024-06-17T14:10:10Z) - Quantum Subroutine for Variance Estimation: Algorithmic Design and Applications [80.04533958880862]
Quantum computing sets the foundation for new ways of designing algorithms.
New challenges arise concerning which field quantum speedup can be achieved.
Looking for the design of quantum subroutines that are more efficient than their classical counterpart poses solid pillars to new powerful quantum algorithms.
arXiv Detail & Related papers (2024-02-26T09:32:07Z) - Quantum tensor networks algorithms for evaluation of spectral functions
on quantum computers [0.0]
We investigate quantum algorithms derived from tensor networks to simulate the static and dynamic properties of quantum many-body systems.
We demonstrate algorithms to prepare ground and excited states on a quantum computer and apply them to molecular nanomagnets (MNMs) as a paradigmatic example.
arXiv Detail & Related papers (2023-09-26T18:01:42Z) - Applicability of Measurement-based Quantum Computation towards Physically-driven Variational Quantum Eigensolver [17.975555487972166]
Variational quantum algorithms are considered one of the most promising methods for obtaining near-term quantum advantages.
The roadblock to developing quantum algorithms with the measurement-based quantum computation scheme is resource cost.
We propose an efficient measurement-based quantum algorithm for quantum many-body system simulation tasks, called measurement-based Hamiltonian variational ansatz (MBHVA)
arXiv Detail & Related papers (2023-07-19T08:07:53Z) - End-to-end resource analysis for quantum interior point methods and portfolio optimization [63.4863637315163]
We provide a complete quantum circuit-level description of the algorithm from problem input to problem output.
We report the number of logical qubits and the quantity/depth of non-Clifford T-gates needed to run the algorithm.
arXiv Detail & Related papers (2022-11-22T18:54:48Z) - Improved iterative quantum algorithm for ground-state preparation [4.921552273745794]
We propose an improved iterative quantum algorithm to prepare the ground state of a Hamiltonian system.
Our approach has advantages including the higher success probability at each iteration, the measurement precision-independent sampling complexity, the lower gate complexity, and only quantum resources are required when the ancillary state is well prepared.
arXiv Detail & Related papers (2022-10-16T05:57:43Z) - Decomposition of Matrix Product States into Shallow Quantum Circuits [62.5210028594015]
tensor network (TN) algorithms can be mapped to parametrized quantum circuits (PQCs)
We propose a new protocol for approximating TN states using realistic quantum circuits.
Our results reveal one particular protocol, involving sequential growth and optimization of the quantum circuit, to outperform all other methods.
arXiv Detail & Related papers (2022-09-01T17:08:41Z) - Algorithmic Primitives for Quantum-Assisted Quantum Control [1.52292571922932]
We discuss two primitive algorithms to evaluate overlaps and transition matrix time series.
They are used to construct a variety of quantum-assisted quantum control algorithms implementable on NISQ devices.
arXiv Detail & Related papers (2020-11-27T15:20:29Z) - Bayesian Quantum Multiphase Estimation Algorithm [0.0]
We study a parallel (simultaneous) estimation of multiple arbitrary phases.
The algorithm proves a certain noise resilience and can be implemented using single photons and standard optical elements.
arXiv Detail & Related papers (2020-10-18T19:32:07Z) - Simulation of Thermal Relaxation in Spin Chemistry Systems on a Quantum
Computer Using Inherent Qubit Decoherence [53.20999552522241]
We seek to take advantage of qubit decoherence as a resource in simulating the behavior of real world quantum systems.
We present three methods for implementing the thermal relaxation.
We find excellent agreement between our results, experimental data, and the theoretical prediction.
arXiv Detail & Related papers (2020-01-03T11:48:11Z)
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.