Quantum Programming Without the Quantum Physics
- URL: http://arxiv.org/abs/2408.16234v1
- Date: Thu, 29 Aug 2024 03:21:08 GMT
- Title: Quantum Programming Without the Quantum Physics
- Authors: Jun Inoue,
- Abstract summary: We propose a quantum programming paradigm where all data are familiar classical data.
The only non-classical element is a random number generator that can return results with negative probability.
- Score: 0.08158530638728499
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We propose a quantum programming paradigm where all data are familiar classical data, and the only non-classical element is a random number generator that can return results with negative probability. Currently, the vast majority of quantum programming languages instead work with quantum data types made up of qubits. The description of their behavior relies on heavy linear algebra and many interdependent concepts and intuitions from quantum physics, which takes dedicated study to understand. We demonstrate that the proposed view of quantum programming explains its central concepts and constraints in more accessible, computationally relevant terms. This is achieved by systematically reducing everything to the existence of that negative-probability random generator, avoiding mention of advanced physics as much as possible. This makes quantum programming more accessible to programmers without a deep background in physics or linear algebra. The bulk of this paper is written with such an audience in mind. As a working vehicle, we lay out a simple quantum programming language under this paradigm, showing that not only can it express all quantum programs, it also naturally captures the semantics of measurement without ever mentioning qubits or collapse. The language is proved to be implementable and universal.
Related papers
- The curse of random quantum data [62.24825255497622]
We quantify the performances of quantum machine learning in the landscape of quantum data.
We find that the training efficiency and generalization capabilities in quantum machine learning will be exponentially suppressed with the increase in qubits.
Our findings apply to both the quantum kernel method and the large-width limit of quantum neural networks.
arXiv Detail & Related papers (2024-08-19T12:18:07Z) - Quantum Information Processing with Molecular Nanomagnets: an introduction [49.89725935672549]
We provide an introduction to Quantum Information Processing, focusing on a promising setup for its implementation.
We introduce the basic tools to understand and design quantum algorithms, always referring to their actual realization on a molecular spin architecture.
We present some examples of quantum algorithms proposed and implemented on a molecular spin qudit hardware.
arXiv Detail & Related papers (2024-05-31T16:43:20Z) - Quantum types: going beyond qubits and quantum gates [0.0]
This article outlines the need for higher-level abstractions and proposes some of them in a developer-friendly programming language called Rhyme.
The new quantum types are extensions of classical types, including bits, integers, floats, characters, arrays, and strings.
arXiv Detail & Related papers (2024-01-26T18:54:35Z) - Quantum data learning for quantum simulations in high-energy physics [55.41644538483948]
We explore the applicability of quantum-data learning to practical problems in high-energy physics.
We make use of ansatz based on quantum convolutional neural networks and numerically show that it is capable of recognizing quantum phases of ground states.
The observation of non-trivial learning properties demonstrated in these benchmarks will motivate further exploration of the quantum-data learning architecture in high-energy physics.
arXiv Detail & Related papers (2023-06-29T18:00:01Z) - Simple Tests of Quantumness Also Certify Qubits [69.96668065491183]
A test of quantumness is a protocol that allows a classical verifier to certify (only) that a prover is not classical.
We show that tests of quantumness that follow a certain template, which captures recent proposals such as (Kalai et al., 2022) can in fact do much more.
Namely, the same protocols can be used for certifying a qubit, a building-block that stands at the heart of applications such as certifiable randomness and classical delegation of quantum computation.
arXiv Detail & Related papers (2023-03-02T14:18:17Z) - Quantum Machine Learning: from physics to software engineering [58.720142291102135]
We show how classical machine learning approach can help improve the facilities of quantum computers.
We discuss how quantum algorithms and quantum computers may be useful for solving classical machine learning tasks.
arXiv Detail & Related papers (2023-01-04T23:37:45Z) - Quantum information and beyond -- with quantum candies [0.0]
We investigate, extend, and greatly expand here "quantum candies" (invented by Jacobs)
"quantum" candies describe some basic concepts in quantum information, including quantum bits, complementarity, the no-cloning principle, and entanglement.
These demonstrations are done in an approachable manner, that can be explained to high-school students, without using the hard-to-grasp concept of superpositions and its mathematics.
arXiv Detail & Related papers (2021-09-30T16:05:33Z) - Playing with a Quantum Computer [0.0]
We show a direct and straightforward way to use quantum computers in an introductory course on quantum physics.
We use an algorithm that solves a simple and easily understandable problem while providing a quantum advantage.
arXiv Detail & Related papers (2021-08-13T14:33:45Z) - On quantum neural networks [91.3755431537592]
We argue that the concept of a quantum neural network should be defined in terms of its most general function.
Our reasoning is based on the use of the Feynman path integral formulation in quantum mechanics.
arXiv Detail & Related papers (2021-04-12T18:30:30Z) - Quantum Technology for Economists [0.2867517731896504]
We discuss basic concepts in quantum computing and quantum communication.
We provide an overview of quantum money, an early invention of quantum communication literature.
We review all existing quantum speedups that have been identified for algorithms used to solve and estimate economic models.
arXiv Detail & Related papers (2020-12-08T15:14:24Z) - Quantum supremacy in driven quantum many-body systems [0.0]
We show that quantum supremacy can be obtained in generic periodically-driven quantum many-body systems.
Our proposal opens the way for a large class of quantum platforms to demonstrate and benchmark quantum supremacy.
arXiv Detail & Related papers (2020-02-27T07:20:15Z)
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.