Unified Architecture for a Quantum Lookup Table
- URL: http://arxiv.org/abs/2406.18030v1
- Date: Wed, 26 Jun 2024 02:54:02 GMT
- Title: Unified Architecture for a Quantum Lookup Table
- Authors: Shuchen Zhu, Aarthi Sundaram, Guang Hao Low,
- Abstract summary: Quantum access to arbitrary classical data encoded in unitary black-box oracles underlies interesting data-intensive quantum algorithms.
We present a general parameterized architecture for quantum circuits implementing a lookup table.
Our architecture assumes only local 2D connectivity, yet recovers results that previously required all-to-all connectivity.
- Score: 1.0923877073891446
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Quantum access to arbitrary classical data encoded in unitary black-box oracles underlies interesting data-intensive quantum algorithms, such as machine learning or electronic structure simulation. The feasibility of these applications depends crucially on gate-efficient implementations of these oracles, which are commonly some reversible versions of the boolean circuit for a classical lookup table. We present a general parameterized architecture for quantum circuits implementing a lookup table that encompasses all prior work in realizing a continuum of optimal tradeoffs between qubits, non-Clifford gates, and error resilience, up to logarithmic factors. Our architecture assumes only local 2D connectivity, yet recovers results that previously required all-to-all connectivity, particularly, with the appropriate parameters, poly-logarithmic error scaling. We also identify novel regimes, such as simultaneous sublinear scaling in all parameters. These results enable tailoring implementations of the commonly used lookup table primitive to any given quantum device with constrained resources.
Related papers
- Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits [63.733312560668274]
Given a quantum circuit containing d tunable RZ gates and G-d Clifford gates, can a learner perform purely classical inference to efficiently predict its linear properties?
We prove that the sample complexity scaling linearly in d is necessary and sufficient to achieve a small prediction error, while the corresponding computational complexity may scale exponentially in d.
We devise a kernel-based learning model capable of trading off prediction error and computational complexity, transitioning from exponential to scaling in many practical settings.
arXiv Detail & Related papers (2024-08-22T08:21:28Z) - Towards early fault tolerance on a 2$\times$N array of qubits equipped with shuttling [0.0]
Two-dimensional grid of locally-interacting qubits is promising platform for fault tolerant quantum computing.
In this paper, we show that such constrained architectures can also support fault tolerance.
We demonstrate that error correction is possible and identify the classes of codes that are naturally suited to this platform.
arXiv Detail & Related papers (2024-02-19T23:31:55Z) - Adaptive Circuit Learning of Born Machine: Towards Realization of
Amplitude Embedding and Data Loading [7.88657961743755]
We present a novel algorithm "Adaptive Circuit Learning of Born Machine" (ACLBM)
Our algorithm is tailored to selectively integrate two-qubit entangled gates that best capture the complex entanglement present within the target state.
Empirical results underscore the proficiency of our approach in encoding real-world data through amplitude embedding.
arXiv Detail & Related papers (2023-11-29T16:47:31Z) - Circuit complexity of quantum access models for encoding classical data [4.727325187683489]
We study the Clifford$+T$ complexity of constructing some typical quantum access models.
We show that both sparse-access input models and block-encoding require nearly linear circuit complexities.
Our protocols are built upon improved quantum state preparation and a selective oracle for Pauli strings.
arXiv Detail & Related papers (2023-11-19T16:23:57Z) - Pipeline quantum processor architecture for silicon spin qubits [0.0]
Noisy intermediate-scale quantum (NISQ) devices seek to achieve quantum advantage over classical systems.
We propose a NISQ processor architecture using a qubit pipeline' in which all run-time control is applied globally.
This is achieved by progressing qubit states through a layered physical array of structures.
arXiv Detail & Related papers (2023-06-13T10:35:01Z) - The Basis of Design Tools for Quantum Computing: Arrays, Decision
Diagrams, Tensor Networks, and ZX-Calculus [55.58528469973086]
Quantum computers promise to efficiently solve important problems classical computers never will.
A fully automated quantum software stack needs to be developed.
This work provides a look "under the hood" of today's tools and showcases how these means are utilized in them, e.g., for simulation, compilation, and verification of quantum circuits.
arXiv Detail & Related papers (2023-01-10T19:00:00Z) - Logical blocks for fault-tolerant topological quantum computation [55.41644538483948]
We present a framework for universal fault-tolerant logic motivated by the need for platform-independent logical gate definitions.
We explore novel schemes for universal logic that improve resource overheads.
Motivated by the favorable logical error rates for boundaryless computation, we introduce a novel computational scheme.
arXiv Detail & Related papers (2021-12-22T19:00:03Z) - Realization of arbitrary doubly-controlled quantum phase gates [62.997667081978825]
We introduce a high-fidelity gate set inspired by a proposal for near-term quantum advantage in optimization problems.
By orchestrating coherent, multi-level control over three transmon qutrits, we synthesize a family of deterministic, continuous-angle quantum phase gates acting in the natural three-qubit computational basis.
arXiv Detail & Related papers (2021-08-03T17:49:09Z) - Universal quantum computation with symmetric qubit clusters coupled to
an environment [0.3670422696827526]
We propose a scalable scheme for universal quantum computation where cores play the role of quantum-computational transistors, quansistors.
We include quantum errors as a main source of decoherence, and show that symmetry makes logical operations particularly resilient to untimely anisotropic qubit rotations.
Many of our results can be generalized to higher-level omega-rotation-invariant systems, or adapted to clusters with other symmetries.
arXiv Detail & Related papers (2021-06-01T19:59:41Z) - Error mitigation and quantum-assisted simulation in the error corrected
regime [77.34726150561087]
A standard approach to quantum computing is based on the idea of promoting a classically simulable and fault-tolerant set of operations.
We show how the addition of noisy magic resources allows one to boost classical quasiprobability simulations of a quantum circuit.
arXiv Detail & Related papers (2021-03-12T20:58:41Z) - Electronic structure with direct diagonalization on a D-Wave quantum
annealer [62.997667081978825]
This work implements the general Quantum Annealer Eigensolver (QAE) algorithm to solve the molecular electronic Hamiltonian eigenvalue-eigenvector problem on a D-Wave 2000Q quantum annealer.
We demonstrate the use of D-Wave hardware for obtaining ground and electronically excited states across a variety of small molecular systems.
arXiv Detail & Related papers (2020-09-02T22:46:47Z)
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.