Finding Angles for Quantum Signal Processing with Machine Precision
- URL: http://arxiv.org/abs/2003.02831v2
- Date: Sun, 8 Mar 2020 07:03:08 GMT
- Title: Finding Angles for Quantum Signal Processing with Machine Precision
- Authors: Rui Chao, Dawei Ding, Andras Gilyen, Cupjin Huang, Mario Szegedy
- Abstract summary: We describe an algorithm for finding angle sequences in quantum signal processing.
We present both theoretical and experimental results that demonstrate the performance of the new algorithm.
- Score: 7.997203849017868
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We describe an algorithm for finding angle sequences in quantum signal
processing, with a novel component we call halving based on a new algebraic
uniqueness theorem, and another we call capitalization. We present both
theoretical and experimental results that demonstrate the performance of the
new algorithm. In particular, these two algorithmic ideas allow us to find
sequences of more than 3000 angles within 5 minutes for important applications
such as Hamiltonian simulation, all in standard double precision arithmetic.
This is native to almost all hardware.
Related papers
- Qubit-Efficient Quantum Algorithm for Linear Differential Equations [0.6410191755165466]
We propose a quantum algorithm for solving linear ordinary differential equations (ODEs) with a provable runtime guarantee.<n>Our algorithm uses only a single ancilla qubit, and is locality preserving, i.e., when the coefficient matrix of the ODE is $k$-local.<n>We also discuss the connection between our proposed algorithm and Lindbladian simulation as well as its application to the interacting Hatano-Nelson model.
arXiv Detail & Related papers (2025-07-22T20:08:34Z) - Arbitrary state creation via controlled measurement [49.494595696663524]
This algorithm creates an arbitrary $n$-qubit pure quantum superposition state with precision of $m$-decimals.
The algorithm uses one-qubit rotations, Hadamard transformations and C-NOT operations with multi-qubit controls.
arXiv Detail & Related papers (2025-04-13T07:23:50Z) - Quantum algorithms for Hopcroft's problem [45.45456673484445]
We study quantum algorithms for Hopcroft's problem which is a fundamental problem in computational geometry.
The classical complexity of this problem is well-studied, with the best known algorithm running in $O(n4/3)$ time.
Our results are two different quantum algorithms with time complexity $widetilde O(n5/6)$.
arXiv Detail & Related papers (2024-05-02T10:29:06Z) - 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) - Robust Angle Finding for Generalized Quantum Signal Processing [0.0]
We extend the framework of GQSP and propose a robust angle finding algorithm.
We find that the number of calls, or queries, to signal operators are essentially halved compared to the ordinary framework of QSP.
arXiv Detail & Related papers (2024-02-05T13:55:23Z) - Purely quantum algorithms for calculating determinant and inverse of matrix and solving linear algebraic systems [43.53835128052666]
We propose quantum algorithms for the computation of the determinant and inverse of an $(N-1) times (N-1)$ matrix.
This approach is a straightforward modification of the existing algorithm for determining the determinant of an $N times N$ matrix.
We provide suitable circuit designs for all three algorithms, each estimated to require $O(N log N)$ in terms of space.
arXiv Detail & Related papers (2024-01-29T23:23:27Z) - Generalized quantum Arimoto-Blahut algorithm and its application to
quantum information bottleneck [55.22418739014892]
We generalize the quantum Arimoto-Blahut algorithm by Ramakrishnan et al.
We apply our algorithm to the quantum information bottleneck with three quantum systems.
Our numerical analysis shows that our algorithm is better than their algorithm.
arXiv Detail & Related papers (2023-11-19T00:06:11Z) - Polynomial-time Solver of Tridiagonal QUBO, QUDO and Tensor QUDO problems with Tensor Networks [41.94295877935867]
We present a quantum-inspired tensor network algorithm for solving tridiagonal Quadratic Unconstrained Binary Optimization problems.<n>We also solve the more general quadratic unconstrained discrete optimization problems with one-neighbor interactions in a lineal chain.
arXiv Detail & Related papers (2023-09-19T10:45:15Z) - Mind the $\tilde{\mathcal{O}}$: Asymptotically Better, but Still
Impractical, Quantum Distributed Algorithms [0.0]
We present two algorithms in the Quantum CONGEST-CLIQUE model of distributed computation that succeed with high probability.
The algorithms achieve a lower round and message complexity than any known algorithms in the classical CONGEST-CLIQUE model.
An existing framework for using distributed version of Grover's search algorithm to accelerate triangle finding lies at the core of the speedup.
arXiv Detail & Related papers (2023-04-06T02:18:52Z) - Quantum Clustering with k-Means: a Hybrid Approach [117.4705494502186]
We design, implement, and evaluate three hybrid quantum k-Means algorithms.
We exploit quantum phenomena to speed up the computation of distances.
We show that our hybrid quantum k-Means algorithms can be more efficient than the classical version.
arXiv Detail & Related papers (2022-12-13T16:04:16Z) - Quantum Sparse Coding [5.130440339897477]
We develop a quantum-inspired algorithm for sparse coding.
The emergence of quantum computers and Ising machines can potentially lead to more accurate estimations.
We conduct numerical experiments with simulated data on Lightr's quantum-inspired digital platform.
arXiv Detail & Related papers (2022-09-08T13:00:30Z) - Partition Function Estimation: Quantum and Quantum-Inspired Algorithms [1.7510560590853574]
We present two algorithms, one quantum and one classical, for estimating partition functions of quantum spin Hamiltonians.
The former is a DQC1 (Deterministic quantum computation with one clean qubit) algorithm, and the first such for complex temperatures.
arXiv Detail & Related papers (2022-08-01T15:29:06Z) - Fourier-based quantum signal processing [0.0]
Implementing general functions of operators is a powerful tool in quantum computation.
Quantum signal processing is the state of the art for this aim.
We present an algorithm for Hermitian-operator function design from an oracle given by the unitary evolution.
arXiv Detail & Related papers (2022-06-06T18:02:30Z) - Entanglement and coherence in Bernstein-Vazirani algorithm [58.720142291102135]
Bernstein-Vazirani algorithm allows one to determine a bit string encoded into an oracle.
We analyze in detail the quantum resources in the Bernstein-Vazirani algorithm.
We show that in the absence of entanglement, the performance of the algorithm is directly related to the amount of quantum coherence in the initial state.
arXiv Detail & Related papers (2022-05-26T20:32:36Z) - Synthesis of Quantum Circuits with an Island Genetic Algorithm [44.99833362998488]
Given a unitary matrix that performs certain operation, obtaining the equivalent quantum circuit is a non-trivial task.
Three problems are explored: the coin for the quantum walker, the Toffoli gate and the Fredkin gate.
The algorithm proposed proved to be efficient in decomposition of quantum circuits, and as a generic approach, it is limited only by the available computational power.
arXiv Detail & Related papers (2021-06-06T13:15:25Z)
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.