Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Analyzing the free states of one quantum resource theory as resource states of another
Andrew E. Deneris, Paolo Braccia, Pablo Bermejo +3 more·Jul 15, 2025
In the context of quantum resource theories (QRTs), free states are defined as those which can be obtained at no cost under a certain restricted set of conditions. However, when taking a free state from one QRT and evaluating it through the optics of...
Quantum Circuits Are Just a Phase
Chris Heunen, Louis Lemonnier, Christopher McNally +1 more·Jul 15, 2025
Quantum programs today are written at a low level of abstraction - quantum circuits akin to assembly languages - and the unitary parts of even advanced quantum programming languages essentially function as circuit description languages. This state of...
Quantum Power Iteration Unified Using Generalized Quantum Signal Processing
Viktor Khinevich, Yasunori Lee, Nobuyuki Yoshioka +1 more·Jul 15, 2025
We propose a unifying framework for the state preparation using quantum power method algorithms based on generalized quantum signal processing (GQSP). We apply GQSP to realize quantum analogs of classical power iteration, power Lanczos, inverse itera...
On the Fundamental Resource for Exponential Advantage in Quantum Channel Learning
Minsoo Kim, Changhun Oh·Jul 15, 2025
Quantum resources enable us to achieve an exponential advantage in learning the properties of unknown physical systems by employing quantum memory. While entanglement with quantum memory is recognized as a necessary qualitative resource, its quantita...
A scalable quantum-neural hybrid variational algorithm for ground state estimation
Minwoo Kim, Kyoung Keun Park, Uihwan Jeong +2 more·Jul 15, 2025
We propose the unitary variational quantum-neural hybrid eigensolver (U-VQNHE), which improves upon the original VQNHE by enforcing unitary neural transformations. The non-unitary nature of VQNHE causes normalization issues and divergence of the loss...
Quantum algorithm for solving McKean-Vlasov stochastic differential equations
Koichi Miyamoto·Jul 15, 2025
Quantum Monte Carlo integration, a quantum algorithm for calculating expectations that provides a quadratic speed-up compared to its classical counterpart, is now attracting increasing interest in the context of its industrial and scientific applicat...
Optimisation-Free Recursive QAOA for the Binary Paint Shop Problem
Gary J Mooney, Jedwin Villanueva, Bhaskar Roy Radhan +3 more·Jul 15, 2025
The Quantum Approximate Optimisation Algorithm (QAOA) is a leading candidate for near-term quantum advantage, yet its practical impact is hindered by limited performance on symmetric local Hamiltonians and the costly optimisation of variational param...
Decision Models for Selecting Architecture Patterns and Strategies in Quantum Software Systems
M. S. Aktar, Peng Liang, Muhammad Waseem +7 more·Jul 15, 2025
Quantum software represents disruptive technologies in terms of quantum-specific software systems, services, and applications - leverage the principles of quantum mechanics via programmable quantum bits (Qubits) that manipulate quantum gates (QuGates...
Understanding Quantum Information and Computation
John Watrous·Jul 15, 2025
This is a course on the theory of quantum computing. It consists of 16 lessons, each with a video and written component, covering the basics of quantum information, quantum algorithms (including query algorithms, Shor's algorithm for integer factoriz...
Enhancing the Clique Local Decoder to Correct Length-2 Space Errors in the Surface Code
Zikang Jia, S. Veerapaneni, Gokul Subramanian Ravi·Jul 15, 2025
The growing demand for fault-tolerant quantum computing drives the need for efficient, scalable Quantum Error Correction (QEC) strategies. Conventional decoders designed for worst-case error scenarios incur significant overhead, prompting the develop...
Time-Aware Qubit Assignment and Circuit Optimization for Distributed Quantum Computing
Leo Sunkel, Jonas Stein, Maximilian Zorn +2 more·Jul 15, 2025
The emerging paradigm of distributed quantum computing promises a potential solution to scaling quantum computing to currently unfeasible dimensions. While this approach itself is still in its infancy, and many obstacles must still be overcome before...
Towards a Utility-Scale Quantum Edge Detection for Real-World Medical Image Data
Emmanuel Billias, Nikos Chrisochoides·Jul 15, 2025
We present a two-level decomposition strategy to enhance the quality and performance of Quantum Hadamard Edge Detection (QHED) for practical image analysis on Noisy Intermediate-Scale Quantum (NISQ) devices. A Data-Level Decomposition partitions an i...
Entanglement Classification in the Graph States: The generalization to $n$-Qubits States using the Entanglement Matrix
Sameer Sharma·Jul 15, 2025
Graph states represent a significant class of multi-partite entangled quantum states with applications in quantum error correction, quantum communication, and quantum computation. In this work, we introduce a novel formalism called the Entanglement M...
Simulating and Sampling from Quantum Circuits with 2D Tensor Networks
M. S. Rudolph, Joseph Tindall·Jul 15, 2025
Classical simulations of quantum circuits play a vital role in the development of quantum computers and for taking the temperature of the field. Here, we classically simulate various physically-motivated circuits using 2D tensor network ans\"atze for...
Quantum Advantage in Storage and Retrieval of Isometry Channels
Satoshi Yoshida, Jisho Miyazaki, Mio Murao·Jul 14, 2025
Storage and retrieval refer to the task of encoding an unknown quantum channel $Λ$ into a quantum state, known as the program state, such that the channel can later be retrieved. There are two strategies for this task: classical and quantum strategie...
Quantum Wave Atom Transforms
Marianna Podzorova, Yi-Kai Liu·Jul 14, 2025
This paper constructs the first quantum algorithm for wavelet packet transforms with a "parabolic scaling" tree structure, sometimes called wave atom transforms. Classically, wave atoms are used to construct sparse representations of differential ope...
Suppressing crosstalk for Rydberg quantum gates
Gina Warttmann, Florian Meinert, Hans Peter Büchler +1 more·Jul 14, 2025
We present a method to suppress crosstalk from implementing controlled-Z gates via local addressing in neutral atom quantum computers. In these systems, a fraction of the laser light that is applied locally to implement gates typically leaks to other...
From Linear Differential Equations to Unitaries: A Moment-Matching Dilation Framework with Near-Optimal Quantum Algorithms
Xiantao Li·Jul 14, 2025
Quantum speed-ups for dynamical simulation usually demand unitary time-evolution, whereas the large ODE/PDE systems encountered in realistic physical models are generically non-unitary. We present a universal moment-fulfilling dilation that embeds an...
On the Importance of Fundamental Properties in Quantum-Classical Machine Learning Models
Silvie Illésová, Tomasz Rybotycki, Piotr Gawron +1 more·Jul 14, 2025
We present a systematic study of how quantum circuit design, specifically the depth of the variational ansatz and the choice of quantum feature mapping, affects the performance of hybrid quantum-classical neural networks on a causal classification ta...
Indiscernibility of quantum states
Jan van Neerven, Marijn Waaijer·Jul 14, 2025
This paper provides a systematic study of the operational idea that a quantum ``state'' is only defined up to what can be distinguished by a chosen family of observables. Concretely, any von Neumann algebra of observables $\mathscr{M}$ induces an equ...