Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Novel Quantum Circuit Designs of Random Injection and Payoff Computation for Financial Risk Assessment
Yu-Ting Kao, Yeong-Jar Chang, Ying-Wei Tseng·Jul 31, 2025
Quantum entanglement enables exponential computational states, while superposition provides inherent parallelism. Consequently, quantum circuits are theoretically capable of supporting large scale parallel computation. However, applying them to finan...
Local-available quantum correlation swapping in one-parameter X states
Hermann L. Albrecht·Jul 30, 2025
Although introduced for entanglement, quantum repeaters and swapping protocols have been analyzed for other quantum correlations (QC), such as quantum discord. In 2015, Mundarain and Ladrón de Guevara [Quantum Inf. Process. 14, 4493 (2015)] introduce...
A multi-dimensional quantum estimation and model learning framework based on variational Bayesian inference
Federico Belliardo, Erik M. Gauger, Tim H. Taminiau +2 more·Jul 30, 2025
The advancement and scaling of quantum technology has made the learning and identification of quantum systems and devices in highly-multidimensional parameter spaces a pressing task for a variety of applications. In many cases, the integration of rea...
Neural network for excess noise estimation in continuous-variable quantum key distribution under composable finite-size security
Lucas Q. Galvão, Davi Juvêncio G. de Sousa, Micael Andrade Dias +1 more·Jul 30, 2025
Parameter estimation is a critical step in continuous-variable quantum key distribution (CV-QKD), especially in the finite-size regime where worst-case confidence intervals can significantly reduce the achievable secret-key rate. We provide a finite-...
Asymptotically optimal joint phase and dephasing strength estimation using spin-squeezed states
Arkadiusz Kobus, Rafał Demkowicz-Dobrzański·Jul 30, 2025
We show an explicit $N$-qubit protocol involving one-axis-twisted spin squeezed states, that allows for simultaneous phase and dephasing strength estimation with precision that asymptotically matches fundamental quantum metrological bounds. The relev...
Field digitization scaling in a $\mathbb{Z}_N \subset U(1)$ symmetric model
Gabriele Calliari, Robert Ott, Hannes Pichler +1 more·Jul 30, 2025
The simulation of quantum field theories, both classical and quantum, requires regularization of infinitely many degrees of freedom. However, in the context of field digitization (FD) -- a truncation of the local fields to $N$ discrete values -- a co...
Operational interpretation of the Stabilizer Entropy
Lennart Bittel, Lorenzo Leone·Jul 30, 2025
Magic-state resource theory is a fundamental framework with far-reaching applications in quantum error correction and the classical simulation of quantum systems. Recent advances have significantly deepened our understanding of magic as a resource ac...
Density Operator Expectation Maximization
Adit Vishnu, Abhay Shastry, Dhruva Kashyap +1 more·Jul 30, 2025
Machine learning with density operators, the mathematical foundation of quantum mechanics, is gaining prominence with rapid advances in quantum computing. Generative models based on density operators cannot yet handle tasks that are routinely handled...
Approximate combinatorial optimization with Rydberg atoms: the barrier of interpretability
Christian de Correc, Thomas Ayral, Corentin Bertrand·Jul 30, 2025
Analog quantum computing with Rydberg atoms is seen as an avenue to solve hard graph optimization problems, because they naturally encode the Maximum Independent Set (MIS) problem on Unit-Disk (UD) graphs, a problem that admits rather efficient appro...
On the Trotter Error in Many-body Quantum Dynamics with Coulomb Potentials
Di Fang, Xiaoxu Wu, Avy Soffer·Jul 30, 2025
Efficient simulation of many-body quantum systems is central to advances in physics, chemistry, and quantum computing, with a key question being whether the simulation cost scales polynomially with the system size. In this work, we analyze many-body ...
Hardware-Efficient Rydberg Atomic Quantum Solvers for NP Problems
Shuaifan Cao, Xiaopeng Li·Jul 30, 2025
Developing hardware-efficient implementations of quantum algorithms is crucial in the NISQ era to achieve practical quantum advantage. Here, we construct a generic quantum solver for NP problems based on Grover's search algorithm, specifically tailor...
Minimizing entanglement entropy for enhanced quantum state preparation
Oskari Kerppo, William Steadman, Ossi Niemimäki +1 more·Jul 30, 2025
Quantum state preparation is an important subroutine in many quantum algorithms. The goal is to encode classical information directly to the quantum state so that it is possible to leverage quantum algorithms for data processing. However, quantum sta...
Scalable, quantum-accessible, and adaptive pseudorandom quantum state and pseudorandom function-like quantum state generators
Rishabh Batra, Zhili Chen, Rahul Jain +1 more·Jul 30, 2025
We show new constructions for pseudorandom quantum states (PRS) and pseudorandom function-like quantum state (PRFS) generators satisfying scalability, which means the security parameter can be much larger than the number of qubits, quantum accessibil...
Reducing Circuit Depth in Lindblad Simulation via Step-Size Extrapolation
Pegah Mohammadipour, Xiantao Li·Jul 30, 2025
We study algorithmic error mitigation via Richardson-style extrapolation for quantum simulations of open quantum systems modelled by the Lindblad equation. Focusing on two specific first-order quantum algorithms, we perform a backward-error analysis ...
Single‐ and Two‐Mode Squeezing by Modulated Coupling to a Rabi Driven Qubit
E. Blumenthal, Nir Gutman, I. Kaminer +1 more·Jul 30, 2025
Advanced bosonic quantum computing architectures demand nonlocal Gaussian operations such as two‐mode squeezing to unlock universal control, enable entanglement generation, and implement logical operations across distributed modes. This work presents...
Toward Practical Quantum Phase Estimation: A Modular, Scalable, and Adaptive Approach
Alok Shukla, P. Vedula·Jul 30, 2025
Quantum Phase Estimation (QPE) is a cornerstone algorithm in quantum computing, with applications ranging from integer factorization to quantum chemistry simulations. However, the resource demands of standard QPE, which require a large number of cohe...
Connection between classical and quantum descriptions of spin waves using quantum circuits
Daniel D Stancil, B. Bakalov, Greg Byrd·Jul 30, 2025
A quantum computing circuit is presented that approximates a single spin wave quantum on a linear chain of spin 1/2 particles described by a Heisenberg Hamiltonian. The circuit is a product state where each qubit represents a spin. The spin wave moti...
A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model
A. Ambainis, J. F. Doriguello, Debbie Lim·Jul 30, 2025
We propose novel classical and quantum online algorithms for learning finite-horizon and infinite-horizon average-reward Markov Decision Processes (MDPs). Our algorithms are based on a hybrid exploration-generative reinforcement learning (RL) model w...
Quantum Krylov Subspace Diagonalization via Time Reversal Symmetries
Nicola Mariella, Enrique Rico, Adam Byrne +1 more·Jul 30, 2025
Krylov quantum diagonalization methods have emerged as a promising use case for quantum computers. However, many existing implementations rely on controlled operations, which pose challenges to near-term quantum hardware. We introduce a novel protoco...
Programmable Microwave Cluster States via Josephson Metamaterials
A. Alocco, A. Celotto, E. Palumbo +5 more·Jul 30, 2025
Cluster states are a fundamental resource for continuous-variable quantum computing, enabling measurement-based protocols that can scale beyond the limitations of qubit-based architectures. Here, we demonstrate on-demand generation of multimode entan...