Fewer measurements from shadow tomography with $N$-representability
conditions
- URL: http://arxiv.org/abs/2312.11715v1
- Date: Mon, 18 Dec 2023 21:23:16 GMT
- Title: Fewer measurements from shadow tomography with $N$-representability
conditions
- Authors: Irma Avdic and David A. Mazziotti
- Abstract summary: We present an algorithm for realizing fewer measurements in the shadow tomography of many-body systems by imposing $N$-representability constraints.
Results demonstrate a significant reduction in the number of measurements with important applications to quantum many-body simulations on near-term quantum devices.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Classical shadow tomography provides a randomized scheme for approximating
the quantum state and its properties at reduced computational cost with
applications in quantum computing. In this Letter we present an algorithm for
realizing fewer measurements in the shadow tomography of many-body systems by
imposing $N$-representability constraints. Accelerated tomography of the
two-body reduced density matrix (2-RDM) is achieved by combining classical
shadows with necessary constraints for the 2-RDM to represent an $N$-body
system, known as $N$-representability conditions. We compute the ground-state
energies and 2-RDMs of hydrogen chains and the N$_{2}$ dissociation curve.
Results demonstrate a significant reduction in the number of measurements with
important applications to quantum many-body simulations on near-term quantum
devices.
Related papers
- Enhanced Shadow Tomography of Molecular Excited States from Enforcing $N$-representability Conditions by Semidefinite Programming [0.0]
We present an algorithm that combines classical shadow tomography with physical constraints on the two-electron reduced density matrix (2-RDM) to treat excited states.
The method reduces the number of measurements of the many-electron 2-RDM on quantum computers by (i) approximating the quantum state through a random sampling technique called shadow tomography.
We compute excited-state energies and 2-RDMs of the H$_4$ chain and analyze the critical points along the photoexcited reaction pathway from gauche-1,3-butadiene to bicyclobutane via a conical intersection.
arXiv Detail & Related papers (2024-08-20T17:27:48Z) - Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation [39.20075231137991]
We address the computation of the cumulative distribution function (CDF) of the spectral measure of the Hamiltonian.
We introduce a signal processing technique for identifying the inflection point of the CDF.
We conduct numerical experiments on a 26-qubit fully-connected Heisenberg model using a truncated density-matrix renormalization group (DMRG) initial state of low bond dimension.
arXiv Detail & Related papers (2024-05-06T18:00:03Z) - A two-stage solution to quantum process tomography: error analysis and
optimal design [6.648667887733229]
We propose a two-stage solution for both trace-preserving and non-trace-preserving quantum process tomography.
Our algorithm exhibits a computational complexity of $O(MLd2)$ where $d$ is the dimension of the quantum system.
Numerical examples and testing on IBM quantum devices are presented to demonstrate the performance and efficiency of our algorithm.
arXiv Detail & Related papers (2024-02-14T05:45:11Z) - Quantum State Tomography with Locally Purified Density Operators and Local Measurements [17.38734393793605]
An efficient representation of quantum states enables realizing quantum state tomography with minimal measurements.
We propose an alternative approach to state tomography that uses tensor network representations of mixed states through locally purified density operators.
Our study opens avenues in quantum state tomography for two-dimensional systems using tensor network formalism.
arXiv Detail & Related papers (2023-07-31T03:14:31Z) - Efficient Quantum Analytic Nuclear Gradients with Double Factorization [0.0]
We report a Lagrangian-based approach for evaluating relaxed one- and two-particle reduced density matrices from double factorized Hamiltonians.
We demonstrate the accuracy and feasibility of our Lagrangian-based approach to recover all off-diagonal density matrix elements in classically-simulated examples.
arXiv Detail & Related papers (2022-07-26T18:47:48Z) - Regression of high dimensional angular momentum states of light [47.187609203210705]
We present an approach to reconstruct input OAM states from measurements of the spatial intensity distributions they produce.
We showcase our approach in a real photonic setup, generating up-to-four-dimensional OAM states through a quantum walk dynamics.
arXiv Detail & Related papers (2022-06-20T16:16:48Z) - Efficient Bipartite Entanglement Detection Scheme with a Quantum
Adversarial Solver [89.80359585967642]
Proposal reformulates the bipartite entanglement detection as a two-player zero-sum game completed by parameterized quantum circuits.
We experimentally implement our protocol on a linear optical network and exhibit its effectiveness to accomplish the bipartite entanglement detection for 5-qubit quantum pure states and 2-qubit quantum mixed states.
arXiv Detail & Related papers (2022-03-15T09:46:45Z) - On how neural networks enhance quantum state tomography with constrained
measurements [3.1866319932300953]
We propose a deep neural networks based quantum state tomography (DNN-QST) approach, which are applied to three measurement-constrained cases.
DNN-QST exhibits a great potential to achieve high fidelity for quantum state tomography with limited measurement resources and can achieve improved estimation when tomographic measurements suffer from noise.
arXiv Detail & Related papers (2021-11-18T03:46:37Z) - Bose-Einstein condensate soliton qubit states for metrological
applications [58.720142291102135]
We propose novel quantum metrology applications with two soliton qubit states.
Phase space analysis, in terms of population imbalance - phase difference variables, is also performed to demonstrate macroscopic quantum self-trapping regimes.
arXiv Detail & Related papers (2020-11-26T09:05:06Z) - Quantitative Propagation of Chaos for SGD in Wide Neural Networks [39.35545193410871]
In this paper, we investigate the limiting behavior of a continuous-time counterpart of the Gradient Descent (SGD)
We show 'propagation of chaos' for the particle system defined by this continuous-time dynamics under different scenarios.
We identify two under which different mean-field limits are obtained, one of them corresponding to an implicitly regularized version of the minimization problem at hand.
arXiv Detail & Related papers (2020-07-13T12:55:21Z) - State preparation and measurement in a quantum simulation of the O(3)
sigma model [65.01359242860215]
We show that fixed points of the non-linear O(3) sigma model can be reproduced near a quantum phase transition of a spin model with just two qubits per lattice site.
We apply Trotter methods to obtain results for the complexity of adiabatic ground state preparation in both the weak-coupling and quantum-critical regimes.
We present and analyze a quantum algorithm based on non-unitary randomized simulation methods.
arXiv Detail & Related papers (2020-06-28T23:44:12Z)
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.