Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
28,582
This Month
299
Today
0
Research Volume
13,634 papers in 12 months (-16% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Continuous variable entanglement in a cold-atoms mirrorless optical parametric oscillator
G. C. Borba, R. S. N. Moreira, L. S. Cruz +3 more·Dec 24, 2024
In this work, we explore both the internal and external atomic degrees of freedom to observe quantum entanglement between the modes produced by a mirrorless optical parametric oscillator operating below the oscillation threshold in a sample of free-s...
Distributed multi-parameter quantum metrology with a superconducting quantum network
Jiajian Zhang, Lingna Wang, Yong-Ju Hai +19 more·Dec 24, 2024
Quantum metrology has emerged as a powerful tool for timekeeping, field sensing, and precision measurements in fundamental physics. With the advent of distributed quantum metrology, its capabilities have extended to probing spatially distributed para...
Randomized Benchmarking with Synthetic Quantum Circuits
Yale Fan, Riley Murray, Thaddeus D. Ladd +2 more·Dec 24, 2024
Noise characterization methods such as randomized benchmarking (RB) are critical for the development of scalable quantum computers. Modern RB protocols for multiqubit systems extract physically relevant error rates by exploiting the structure of the ...
Simple Quantum Gradient Descent Without Coherent Oracle Access
Nhat A. Nghiem·Dec 24, 2024
The gradient descent method aims at finding local minima of a given multivariate function by moving along the direction of its gradient, and hence, the algorithm typically involves computing all partial derivatives of a given function, before updatin...
von Neumann entropy and quantum algorithmic randomness
Tejas Bhojraj·Dec 24, 2024
A state $\rho=(\rho_n)_{n=1}^{\infty}$ is a sequence such that $\rho_n$ is a density matrix on $n$ qubits. It formalizes the notion of an infinite sequence of qubits. The von Neumann entropy $H(d)$ of a density matrix $d$ is the Shannon entropy of it...
Scalable Quantum-Inspired Optimization through Dynamic Qubit Compression
Co Tran, Quoc-Bao Tran, Hyojeong Son +1 more·Dec 24, 2024
Hard combinatorial optimization problems, often mapped to Ising models, promise potential solutions with quantum advantage but are constrained by limited qubit counts in near-term devices. We present an innovative quantum-inspired framework that dyna...
A Time Optimization Framework for the Implementation of Robust and Low-latency Quantum Circuits
E. Lussi, R. Santiago, E. I. Duzzioni·Dec 24, 2024
Quantum computing has garnered attention for its potential to solve complex computational problems with considerable speedup. Despite notable advancements in the field, achieving meaningful scalability and noise control in quantum hardware remains ch...
Hardware-aware Circuit Cutting and Distributed Qubit Mapping for Connected Quantum Systems
Zefan Du, Yanni Li, Zijian Mo +4 more·Dec 24, 2024
Quantum computing offers unparalleled computational capabilities but faces significant challenges, including limited qubit counts, diverse hardware topologies, and dynamic noise/error rates, which hinder scalability and reliability. Distributed quant...
Extendible Quantum Measurements and Limitations on Classical Communication
Vishal Singh, Theshani Nuradha, Mark M. Wilde·Dec 24, 2024
Unextendibility of quantum states and channels is inextricably linked to the no-cloning theorem of quantum mechanics, it has played an important role in understanding and quantifying entanglement, and more recently it has found applications in provid...
Pilot-Quantum: A Middleware for Quantum-HPC Resource, Workload and Task Management
P. Mantha, Florian J. Kiwit, Nishant Saurabh +2 more·Dec 24, 2024
As quantum hardware advances, integrating quantum processing units (QPUs) into HPC environments and managing diverse infrastructure and software stacks becomes increasingly essential. Pilot-Quantum addresses these challenges as a middleware designed ...
Quantum framework for Reinforcement Learning: integrating Markov Decision Process, quantum arithmetic, and trajectory search
Thet Htar Su, Shaswot Shresthamali, Masaaki Kondo·Dec 24, 2024
This paper introduces a quantum framework for addressing reinforcement learning (RL) tasks, grounded in the quantum principles and leveraging a fully quantum model of the classical Markov decision process (MDP). By employing quantum concepts and a qu...
Grover's search meets Ising models: A quantum algorithm for finding low-energy states
A. Zhukov, A. Lebedev, W. Pogosov·Dec 24, 2024
We propose a methodology for implementing Grover's algorithm in the digital quantum simulation of disordered Ising models. The core concept revolves around using the evolution operator for the Ising model as the quantum oracle within Grover's search....
The Continuous Logarithm in the Complex Circle for Post-Quantum Cryptographic Algorithms
Jaafar Gaber·Dec 24, 2024
This paper introduces a novel cryptographic approach based on the continuous logarithm in the complex circle, designed to address the challenges posed by quantum computing. By leveraging its multi-valued and spectral properties, this framework enable...
Variational quantum state diagonalization with computational-basis probabilities
Juan Yao·Dec 24, 2024
In this report, we propose a novel quantum diagonalization algorithm based on the optimization of variational quantum circuits. Diagonalizing a quantum state is a fundamental yet computationally challenging task in quantum information science, especi...
Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection
O. Siddiqui, Nouhaila Innan, Alberto Marchisio +2 more·Dec 24, 2024
Quantum Machine Learning (QML) has shown promise in diverse applications such as environmental monitoring, healthcare diagnostics, and financial modeling. However, its practical implementation faces challenges, including limited quantum hardware and ...
Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs
Zefan Du, Wenrui Zhang, Wenqi Wei +4 more·Dec 24, 2024
Despite advancements, current quantum hardware faces significant challenges, including limited qubit counts and high susceptibility to noise, which hinder the execution of large, complex algorithms. To address these limitations, multi-node quantum sy...
Entropy Density Benchmarking of Near-Term Quantum Circuits
Marine Demarty, James Mills, Kenza Hammam +1 more·Dec 23, 2024
Understanding the limitations imposed by noise on current and next-generation quantum devices is a crucial step towards demonstrating practical quantum advantage. In this work, we investigate the accumulation of entropy density as a benchmark to moni...
Snapshot-QAOA: Extending QAOA to Quantum Hamiltonian Simulation
Reuben Tate, Quinn Langfitt, Elijah Pelofske +4 more·Dec 23, 2024
We present Snapshot-QAOA, a variation of the Quantum Approximate Optimization Algorithm (QAOA) that finds approximate minimum energy eigenstates of a large set of quantum Hamiltonians (i.e. Hamiltonians with non-diagonal terms). Traditionally, QAOA t...
Correlated Noise Estimation with Quantum Sensor Networks
Anthony J. Brady, Yu-Xin Wang, Victor V. Albert +2 more·Dec 23, 2024
We address the metrological problem of estimating collective stochastic properties imprinted on a network of quantum sensors. Canonical examples include center-of-mass quadrature fluctuations in a system of bosonic modes and correlated dephasing in a...
Enhanced Quantum Circuit Cutting Framework for Sampling Overhead Reduction
Po-Hung Chen, Dah-Wei Chiou, Bo-Hung Chen +1 more·Dec 23, 2024
The recently developed quantum circuit cutting technique greatly extends the capabilities of current noisy intermediate-scale quantum (NISQ) hardware. However, it introduces substantial overhead in both classical postprocessing and quantum resources,...