Exploring Finite Temperature Properties of Materials with Quantum
Computers
- URL: http://arxiv.org/abs/2109.01619v4
- Date: Thu, 25 Aug 2022 17:24:52 GMT
- Title: Exploring Finite Temperature Properties of Materials with Quantum
Computers
- Authors: Connor Powers, Lindsay Bassman Oftelie, Daan Camps, Wibe A. de Jong
- Abstract summary: Canonical thermal pure quantum (TPQ) states provide a promising path to estimating thermal properties of quantum materials.
We present an algorithm for preparing canonical TPQ states on quantum computers.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Thermal properties of nanomaterials are crucial to not only improving our
fundamental understanding of condensed matter systems, but also to developing
novel materials for applications spanning research and industry. Since quantum
effects arise at the nano-scale, these systems are difficult to simulate on
classical computers. Quantum computers can efficiently simulate quantum
many-body systems, yet current quantum algorithms for calculating thermal
properties of these systems incur significant computational costs in that they
either prepare the full thermal state on the quantum computer, or they must
sample a number of pure states from a distribution that grows with system size.
Canonical thermal pure quantum (TPQ) states provide a promising path to
estimating thermal properties of quantum materials as they neither require
preparation of the full thermal state nor require a growing number of samples
with system size. Here, we present an algorithm for preparing canonical TPQ
states on quantum computers. We compare three different circuit implementations
for the algorithm and demonstrate their capabilities in estimating thermal
properties of quantum materials. Due to its increasing accuracy with system
size and flexibility in implementation, we anticipate that this method will
enable finite temperature explorations of relevant quantum materials on
near-term quantum computers.
Related papers
- Quantum Computers, Quantum Computing and Quantum Thermodynamics [0.0]
Quantum thermodynamics aims at extending standard thermodynamics to systems with sizes well below the thermodynamic limit.
A rapidly evolving research field, which promises to change our understanding of the foundations of physics.
arXiv Detail & Related papers (2024-04-15T10:53:13Z) - 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 Fisher Information for Different States and Processes in Quantum
Chaotic Systems [77.34726150561087]
We compute the quantum Fisher information (QFI) for both an energy eigenstate and a thermal density matrix.
We compare our results with earlier results for a local unitary transformation.
arXiv Detail & Related papers (2023-04-04T09:28:19Z) - Optimal Stochastic Resource Allocation for Distributed Quantum Computing [50.809738453571015]
We propose a resource allocation scheme for distributed quantum computing (DQC) based on programming to minimize the total deployment cost for quantum resources.
The evaluation demonstrates the effectiveness and ability of the proposed scheme to balance the utilization of quantum computers and on-demand quantum computers.
arXiv Detail & Related papers (2022-09-16T02:37:32Z) - 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) - Kernel-Function Based Quantum Algorithms for Finite Temperature Quantum
Simulation [5.188498150496968]
We present a quantum kernel function (QKFE) algorithm for solving thermodynamic properties of quantum many-body systems.
As compared to its classical counterpart, namely the kernel method (KPM), QKFE has an exponential advantage in the cost of both time and memory.
We demonstrate its efficiency with applications to one and two-dimensional quantum spin models, and a fermionic lattice.
arXiv Detail & Related papers (2022-02-02T18:00:04Z) - Efficient criteria of quantumness for a large system of qubits [58.720142291102135]
We discuss the dimensionless combinations of basic parameters of large, partially quantum coherent systems.
Based on analytical and numerical calculations, we suggest one such number for a system of qubits undergoing adiabatic evolution.
arXiv Detail & Related papers (2021-08-30T23:50:05Z) - Simulating Quantum Materials with Digital Quantum Computers [55.41644538483948]
Digital quantum computers (DQCs) can efficiently perform quantum simulations that are otherwise intractable on classical computers.
The aim of this review is to provide a summary of progress made towards achieving physical quantum advantage.
arXiv Detail & Related papers (2021-01-21T20:10:38Z) - Quantum Computation of Finite-Temperature Static and Dynamical
Properties of Spin Systems Using Quantum Imaginary Time Evolution [0.0]
We develop scalable quantum algorithms to study finite-temperature physics of quantum many-body systems.
Our work demonstrates that the ansatz-independent QITE algorithm is capable of computing diverse finite-temperature observables on near-term quantum devices.
arXiv Detail & Related papers (2020-09-08T06:49:08Z) - Considerations for evaluating thermodynamic properties with hybrid
quantum-classical computing work-flows [0.0]
Quantum chemistry applications on quantum computers currently rely heavily on the variational quantum eigensolver algorithm.
We present a summary of the hybrid quantum-classical work-flow to compute thermodynamic properties.
We show that through careful selection of work-flow options, nearly order-of-magnitude increases in accuracy are possible at equivalent computing time.
arXiv Detail & Related papers (2020-03-04T19:32:53Z) - Quantum simulations of materials on near-term quantum computers [1.856334276134661]
We present a quantum embedding theory for the calculation of strongly-correlated electronic states of active regions.
We demonstrate the accuracy and effectiveness of the approach by investigating several defect quantum bits in semiconductors.
arXiv Detail & Related papers (2020-02-25T20:57:57Z)
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.