Numerical hardware-efficient variational quantum simulation of a soliton solution
arXiv:2105.06208 · doi:10.1103/PhysRevA.104.L020402
Abstract
Implementing variational quantum algorithms with noisy intermediate-scale quantum machines of up to a hundred qubits is nowadays considered as one of the most promising routes towards achieving a quantum practical advantage. In multiqubit circuits, running advanced quantum algorithms is hampered by the noise inherent to quantum gates which distances us from the idea of universal quantum computing. Based on a one-dimensional quantum spin chain with competing symmetric and asymmetric pairwise exchange interactions, herein we discuss the capabilities of quantum algorithms with special attention paid to a hardware-efficient variational eigensolver. A delicate interplay between magnetic interactions allows one to stabilize a chiral state that destroys the homogeneity of magnetic ordering, thus making this solution highly entangled. Quantifying entanglement in terms of quantum concurrence, we argue that, while being capable of correctly reproducing a uniform magnetic configuration, the hardware-efficient ansatz meets difficulties in providing a detailed description to a noncollinear magnetic structure. The latter naturally limits the application range of variational quantum computing to solve quantum simulation tasks.
arXiv comment6 pages, 4 figures, Supplemental Material
References in corpus (59)
- Quantum entanglement
- Quantum Computing in the NISQ era and beyond
- Entanglement of Formation of an Arbitrary State of Two Qubits
- A variational eigenvalue solver on a quantum processor
- Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets
- Entanglement of a Pair of Quantum Bits
- The theory of variational hybrid quantum-classical algorithms
- Quantum machine learning in feature Hilbert spaces
- Quantum computational chemistry
- Cost Function Dependent Barren Plateaus in Shallow Parametrized Quantum Circuits
- Circuit-centric quantum classifiers
- Programmable Quantum Simulations of Spin Systems with Trapped Ions
- Validating quantum computers using randomized model circuits
- Quantum optimization using variational algorithms on near-term quantum devices
- Self-Verifying Variational Quantum Simulation of the Lattice Schwinger Model
- Robust determination of molecular spectra on a quantum processor
- Theory of variational quantum simulation
- Generalized Unitary Coupled Cluster Wavefunctions for Quantum Computation
- Quantum chemistry calculations on a trapped-ion quantum simulator
- Quantum Simulation of Electronic Structure with Linear Depth and Connectivity
- Layerwise learning for quantum neural networks
- Variational quantum algorithms for nonlinear problems
- Towards Quantum Machine Learning with Tensor Networks
- Quantum Implementation of Unitary Coupled Cluster for Simulating Molecular Electronic Structure
- Hybrid Quantum-Classical Approach to Quantum Optimal Control
- Low Depth Quantum Simulation of Electronic Structure
- Error-mitigated digital quantum simulation
- Quantum Computer Systems for Scientific Discovery
- Variational quantum simulation of general processes
- Accelerated Variational Quantum Eigensolver
- From transistor to trapped-ion computers for quantum chemistry
- Training of Quantum Circuits on a Hybrid Quantum Computer
- Witnessing eigenstates for quantum simulation of Hamiltonian spectra
- Variational Quantum State Diagonalization
- Experimental Bayesian Quantum Phase Estimation on a Silicon Photonic Chip
- Quantum phase transitions in transverse field spin models: from statistical physics to quantum information
- Phase Diagram and Entanglement of Ising Model With Dzyaloshinskii-Moriya Interaction
- Dzyaloshinskii-Moriya Interaction and Anisotropy effects on the Entanglement of Heisenberg Model
- Optimizing Variational Quantum Algorithms using Pontryagin's Minimum Principle
- Avoiding local minima in variational quantum eigensolvers with the natural gradient optimizer
- Variational Quantum Eigensolver with Fewer Qubits
- Exponentially more precise quantum simulation of fermions I: Quantum chemistry in second quantization
- Low-depth gradient measurements can improve convergence in variational hybrid quantum-classical algorithms
- Universal Variational Quantum Computation
- Variational Quantum Unsampling on a Quantum Photonic Processor
- Variational Quantum Eigensolver for Frustrated Quantum Systems
- Criticality and factorization in the Heisenberg chain with Dzyaloshinskii-Moriya interaction
- Scaling of variational quantum circuit depth for condensed matter systems
- Quantum coherence of planar spin models with Dzyaloshinsky-Moriya interaction
- Structural disorder versus chiral magnetism in CrNbS
- Abrupt Transitions in Variational Quantum Circuit Training
- Induced effects of the Dzyaloshinskii-Moriya interaction on the thermal entanglement in spin-1/2 Heisenberg chains
- Deep Neural Network Detects Quantum Phase Transition
- A spin dynamics approach to solitonics
- Quantum Machine Learning Tensor Network States
- Variational Simulation of Schwinger's Hamiltonian with Polarisation Qubits
- Certified variational quantum algorithms for eigenstate preparation
- Factorization, coherence and asymmetry in the Heisenberg spin-1/2 XXZ chain a transverse magnetic field and with Dzyaloshinskii-Moriya interaction
- Probing Criticality in Quantum Spin Chains with Neural Networks
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