Representation and design of wavelets using unitary circuits
arXiv:1605.07312 · doi:10.1103/PhysRevA.97.052314
Abstract
The representation of discrete, compact wavelet transformations (WTs) as circuits of local unitary gates is discussed. We employ a similar formalism as used in the multi-scale representation of quantum many-body wavefunctions using unitary circuits, further cementing the relation established in [Phys. Rev. Lett. 116, 140403 (2016)] between classical and quantum multi-scale methods. An algorithm for constructing the circuit representation of known orthogonal, dyadic, discrete WTs is presented, and the explicit representation for Daubechies wavelets, coiflets, and symlets is provided. Furthermore, we demonstrate the usefulness of the circuit formalism in designing novel WTs, including various classes of symmetric wavelets and multi-wavelets, boundary wavelets and biorthogonal wavelets.
20 pages, 16 figures
References in corpus (9)
- A class of quantum many-body states that can be efficiently simulated
- Entanglement renormalization, scale invariance, and quantum criticality
- Entanglement renormalization and wavelets
- Compression of Correlation Matrices and an Efficient Method for Forming Matrix Product States of Fermionic Gaussian States
- Algorithms for entanglement renormalization: boundaries, impurities and interfaces
- Rigorous free fermion entanglement renormalization from wavelet theory
- MERA for Spin Chains with Continuously Varying Criticality
- Hybrid grid/basis set discretizations of the Schrödinger equation
- Quantum Impurity in Luttinger Liquid: Universal Conductance with Entanglement Renormalization
Cited by in corpus (15)
- Tensor networks for complex quantum systems
- Encoding Electronic Spectra in Quantum Circuits with Linear T Complexity
- Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives
- Neural Network Renormalization Group
- Entanglement renormalization and wavelets
- Hybrid grid/basis set discretizations of the Schrödinger equation
- Efficient Quantum Algorithm for All Quantum Wavelet Transforms
- Quantum circuit approximations and entanglement renormalization for the Dirac field in 1+1 dimensions
- Scaling limits of lattice quantum fields by wavelets
- Hybrid gausslet/Gaussian basis sets
- Entanglement distillation toward minimal bond cut surface in tensor networks
- A Multi-Scale Tensor Network Architecture for Classification and Regression
- Méthodes de calcul avec réseaux de tenseurs en physique (Basic tensor network computations in physics)
- Bosonic entanglement renormalization circuits from wavelet theory
- Operator-algebraic renormalization and wavelets