Quantum Computing : A New Frontier for Science and Society

• URL: http://arxiv.org/abs/2607.07222v1
• Date: Wed, 08 Jul 2026 10:04:58 GMT
• Title: Quantum Computing : A New Frontier for Science and Society
• Abstract summary: This report explores the current state of quantum technologies, their potential applications, and the challenges that must be addressed to harness their full potential.<n>In particular we will focus on the quantum computer architecture and its ecosystem.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This short report explores the (non exhaustive) current state of quantum technologies, their potential applications, and the challenges that must be addressed to harness their full potential. In particular we will focus on the quantum computer architecture and its ecosystem. Such architecture represents a complex, multi-layered system that integrates quantum and classical components to enable the execution of quantum algorithms. This manuscript is then organized as follows : first we will introduce the quantum processing unit, the lowest layer of a quantum computer. Then we will progress from the lowest to the higher layer of the system architectures : measurement, circuit control, error correction and mitigation system, the quantum compiler and finally the software stack, with particular emphasis on the interactions between these components

Related papers

• Strategic Plan for Neutral Atom Quantum Computation [84.56908019536233]
  We present a strategic plan for neutral atom quantum computation, bringing together hardware development and theory advancements.<n>The concept of practical quantum advantage is defined, along with how to verify claims of advantage, and approaches to designing quantum algorithms that deliver practical advantage.
  arXiv  Detail & Related papers  (2026-07-23T17:36:19Z)
• Digital quantum simulation of many-body systems: Making the most of intermediate-scale, noisy quantum computers [51.56484100374058]
  This thesis is centered around simulating quantum dynamics on quantum devices.<n>We present an overview of the most relevant quantum algorithms for quantum dynamics.<n>We identify relevant problems within quantum dynamics that could benefit from quantum simulation in the near future.
  arXiv  Detail & Related papers  (2025-08-29T10:37:19Z)
• Quantum-Accelerated Wireless Communications: Concepts, Connections, and Implications [59.0413662882849]
  Quantum computing is poised to redefine the algorithmic foundations of communication systems.<n>This article outlines the fundamentals of quantum computing in a style familiar to the communications society.<n>We highlight a mathematical harmony between quantum and wireless systems, which makes the topic more enticing to wireless researchers.
  arXiv  Detail & Related papers  (2025-06-25T22:25:47Z)
• A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity [50.387179833629254]
  We introduce a collaborative classical-quantum architecture called co-TenQu. Co-TenQu enhances a classical deep neural network by up to 41.72% in a fair setting. It outperforms other quantum-based methods by up to 1.9 times and achieves similar accuracy while utilizing 70.59% fewer qubits.
  arXiv  Detail & Related papers  (2024-02-23T14:09:41Z)
• Quantum algorithms: A survey of applications and end-to-end complexities [88.57261102552016]
  The anticipated applications of quantum computers span across science and industry.<n>We present a survey of several potential application areas of quantum algorithms.<n>We outline the challenges and opportunities in each area in an "end-to-end" fashion.
  arXiv  Detail & Related papers  (2023-10-04T17:53:55Z)
• The QUATRO Application Suite: Quantum Computing for Models of Human Cognition [49.038807589598285]
  We unlock a new class of applications ripe for quantum computing research -- computational cognitive modeling. We release QUATRO, a collection of quantum computing applications from cognitive models.
  arXiv  Detail & Related papers  (2023-09-01T17:34:53Z)
• 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 computing hardware for HEP algorithms and sensing [36.67390040418004]
  Quantum information science harnesses the principles of quantum mechanics to realize computational algorithms with complexities vastly intractable by current computer platforms. Fermilab's Superconducting Quantum Materials and Systems (SQMS) Center is dedicated to providing breakthroughs in quantum computing and sensing. We discuss the two most promising superconducting quantum architectures for HEP algorithms, i.e. three-level systems (qutrits) supported by transmon devices coupled to planar devices and multi-level systems (qudits with arbitrary N energy levels) supported by superconducting 3D cavities.
  arXiv  Detail & Related papers  (2022-04-19T01:37:36Z)
• Full-stack quantum computing systems in the NISQ era: algorithm-driven and hardware-aware compilation techniques [1.3496450124792878]
  We will provide an overview on current full-stack quantum computing systems. We will emphasize the need for tight co-design among adjacent layers as well as vertical cross-layer design.
  arXiv  Detail & Related papers  (2022-04-13T13:26:56Z)
• A prototype of quantum von Neumann architecture [0.0]
  We propose a model of universal quantum computer system, the quantum version of the von Neumann architecture. It uses ebits as elements of the quantum memory unit, and qubits as elements of the quantum control unit and processing unit. Our primary study demonstrates the manifold power of quantum information and paves the way for the creation of quantum computer systems.
  arXiv  Detail & Related papers  (2021-12-17T06:33:31Z)
• Quantum Algorithms and Simulation for Parallel and Distributed Quantum Computing [0.0]
  A viable approach for building large-scale quantum computers is to interlink small-scale quantum computers with a quantum network. We present our software framework called Interlin-q, a simulation platform that aims to simplify designing and verifying parallel and distributed quantum algorithms.
  arXiv  Detail & Related papers  (2021-06-12T19:41:48Z)
• Resource-Efficient Quantum Computing by Breaking Abstractions [9.695745674863554]
  Current quantum software stacks follow a layered approach similar to the stack of classical computers. In this review, we point out that greater efficiency of quantum computing systems can be achieved by breaking the abstractions between these layers.
  arXiv  Detail & Related papers  (2020-10-30T18:18:23Z)

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.