Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
28,669
This Month
367
Today
0
Research Volume
13,711 papers in 12 months (-14% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Distributed quantum logic algorithm
Boris Arseniev·Nov 18, 2024
Parallel computation enables multiple processors to execute different parts of a task simultaneously, improving processing speed and efficiency. In quantum computing, parallel gate implementation involves executing gates independently in different re...
Fault-tolerant quantum computation with a neutral atom processor
Ben W. Reichardt, A. Paetznick, D. Aasen +68 more·Nov 18, 2024
Quantum computing experiments are transitioning from running on physical qubits to using encoded, logical qubits. Fault-tolerant computation can identify and correct errors, and has the potential to enable the dramatically reduced logical error rates...
Mera: Memory Reduction and Acceleration for Quantum Circuit Simulation via Redundancy Exploration
Yuhong Song, E. Sha, Longshan Xu +2 more·Nov 18, 2024
With the development of quantum computing, quantum processor demonstrates the potential supremacy in specific applications, such as Grover's database search and popular quantum neural networks (QNNs). For better calibrating the quantum algorithms and...
Simulating Non-Markovian Quantum Dynamics on NISQ Computers Using the Hierarchical Equations of Motion.
Xiaohan Dan, Eitan Geva, Victor S. Batista·Nov 18, 2024
Quantum computing offers promising new avenues for tackling the long-standing challenge of simulating the quantum dynamics of complex chemical systems, particularly open quantum systems coupled to external baths. However, simulating such nonunitary d...
Learning complexity gradually in quantum machine learning models
Erik Recio-Armengol, Franz J. Schreiber, J. Eisert +1 more·Nov 18, 2024
Quantum machine learning is an emergent field that continues to draw significant interest for its potential to offer improvements over classical algorithms in certain areas. However, training quantum models remains a challenging task, largely because...
Efficient Quantum Algorithm for Weighted Partial Sums and Numerical Integration
Alok Shukla, P. Vedula·Nov 17, 2024
A quantum algorithm is presented for efficiently computing partial sums and specific weighted partial sums of quantum state amplitudes. Computation of partial sums has important applications, including numerical integration, cumulative probability di...
Schrödingerization based Quantum Circuits for Maxwell's Equation with time-dependent source terms
Chuwen Ma, Shi Jin, Nana Liu +2 more·Nov 17, 2024
The Schr\"odingerisation method combined with the autonomozation technique in \cite{cjL23} converts general non-autonomous linear differential equations with non-unitary dynamics into systems of autonomous Schr\"odinger-type equations, via the so-cal...
Millimeter-Wave Superconducting Qubit
Alexander Anferov, Fanghui Wan, Shannon P. Harvey +2 more·Nov 17, 2024
Manipulating the electromagnetic spectrum at the single-photon level is fundamental for quantum experiments. In the visible and infrared ranges, this can be accomplished with atomic quantum emitters, and with superconducting qubits such control is ex...
Validation tests of Gaussian boson samplers with photon-number resolving detectors
A. Dellios, M. Reid, Peter D Drummond·Nov 17, 2024
An important challenge with the current generation of noisy, large-scale quantum computers is the question of validation. Does the hardware generate correct answers? If not, what are the errors? This issue is often combined with questions of computat...
Digital-Analog Quantum Machine Learning
L. Lamata·Nov 16, 2024
Machine learning algorithms are extensively used in an increasing number of systems, applications, technologies, and products, both in industry and in society as a whole. They enable computing devices to learn from previous experience and therefore i...
Classical optimization with imaginary time block encoding on quantum computers: The MaxCut problem
Dawei Zhong, Akhil Francis, E. Rrapaj·Nov 16, 2024
Optimization problems in finance, physics and computer science are typically very hard to tackle in classical computing and quantum computing could help speed up computations and provide efficient methods for tackling large problems. Typically, to tr...
Strong-coupling quantum thermodynamics using a superconducting flux qubit
Rishabh Upadhyay, B. Karimi, D. Subero +4 more·Nov 16, 2024
Thermodynamics in quantum circuits aims to find improved functionalities of thermal machines, highlight fundamental phenomena peculiar to quantum nature in thermodynamics, and point out limitations in quantum information processing due to coupling of...
How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits
Masoud Mohseni, Artur Scherer, K. Grace Johnson +48 more·Nov 15, 2024
In the span of four decades, quantum computation has evolved from an intellectual curiosity to a potentially realizable technology. Today, small-scale demonstrations have become possible for quantum algorithmic primitives on hundreds of physical qubi...
Local Clustering Decoder as a fast and adaptive hardware decoder for the surface code
Abbas B. Ziad, Ankit Zalawadiya, Canberk Topal +4 more·Nov 15, 2024
To avoid prohibitive overheads in performing fault-tolerant quantum computation, the decoding problem needs to be solved accurately and at speeds sufficient for fast feedback. Existing decoding systems fail to satisfy both of these requirements, mean...
How contextuality and antidistinguishability are related
Maiyuren Srikumar, Stephen D. Bartlett, Angela Karanjai·Nov 15, 2024
Contextuality is a key characteristic that separates quantum from classical phenomena and an important tool in understanding the potential advantage of quantum computation. However, when assessing the quantum resources available for quantum informati...
Quantum-assisted Stacking Sequence Retrieval and Laminated Composite Design
Arne Wulff, Swapan Madabhushi Venkata, Boyang Chen +3 more·Nov 15, 2024
We, the QAIMS lab lab at the Aerospace Faculty of TU Delft, participated as finalists in the Airbus/BMW Quantum Computing Challenge 2024. Stacking sequence retrieval, a complex combinatorial task within a bi-level optimization framework, is crucial f...
How quantum computing can enhance biomarker discovery
Frederik F. Flöther, Daniel J. Blankenberg, Maria Demidik +7 more·Nov 15, 2024
Summary Biomarkers play a central role in medicine’s gradual progress toward proactive, personalized precision diagnostics and interventions. However, finding biomarkers that provide very early indicators of a change in health status, for example, fo...
Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach
Abdullah Abdullah, F. R. Sandjaja, A. Majeed +3 more·Nov 15, 2024
This study investigates uncertainty quantification (UQ) using quantum-classical hybrid machine learning (ML) models for applications in complex and dynamic fields, such as attaining resiliency in supply chain digital twins and financial risk assessme...
Towards quantum-centric simulations of extended molecules: sample-based quantum diagonalization enhanced with density matrix embedding theory
Akhil Shajan, Danil S. Kaliakin, Abhishek Mitra +9 more·Nov 15, 2024
Computing ground-state properties of molecules is a promising application for quantum computers operating in concert with classical high-performance computing resources. Quantum embedding methods are a family of algorithms particularly suited to thes...
Measuring Butterfly Velocity in the XY Model on Emerging Quantum Computers
C. McCartney, Eric Chen, Subhayan Roy Moulik·Nov 15, 2024
The butterfly velocity is commonly used to understand information transport properties in quantum dynamical systems and is related to growth of operators. Here we utilise a quantum teleportation based protocol and Riemannian Trust-Region method to es...