Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Benchmarking data encoding methods in Quantum Machine Learning
Orlane Zang, Grégoire Barrué, Tony Quertier·May 20, 2025
Data encoding plays a fundamental and distinctive role in Quantum Machine Learning (QML). While classical approaches process data directly as vectors, QML may require transforming classical data into quantum states through encoding circuits, known as...
Noisy simulations of Quantum Walk and Quantum Walk search via Quantum Cellular Automata on a semiconducting spin processor emulator
Andrea Mammola, Quentin Schaeverbeke, Giuseppe Di Molfetta·May 20, 2025
In this work we map NISQ-friendly implementations of the non-interacting QCA to a circuit Quantum Electrodynamics (cQED) hardware. We perform both noiseless and noisy simulations of the QCA one particle sector, namely the Quantum Walk, on $N$-cycles ...
Quantum Reservoir Computing for Realized Volatility Forecasting
Qingyu Li, Chiranjib Mukhopadhyay, Abolfazl Bayat +1 more·May 20, 2025
Recent advances in quantum computing have demonstrated its potential to significantly enhance the analysis and forecasting of complex classical data. Among these, quantum reservoir computing has emerged as a particularly powerful approach, combining ...
Quantum Opacity, Classical Clarity: A Hybrid Approach to Quantum Circuit Obfuscation
A. Raj, Vivek Balachandran·May 20, 2025
Quantum computing leverages quantum mechanics to achieve computational advantages over classical hardware, but the use of third-party quantum compilers in the Noisy Intermediate-Scale Quantum (NISQ) era introduces risks of intellectual property (IP) ...
An engineering guide to superconducting quantum circuit shielding
E. Malevannaya, V. Polozov, A. Ivanov +10 more·May 20, 2025
In this review, we provide a practical guide to superconducting quantum circuits protection from broadband electromagnetic and infrared radiation using cryogenic shielding and microwave line filtering. Recently, superconducting multi-qubit processors...
Performance analysis of GKP error correction
F. K. Marqversen, Janus H. Wesenberg, N. T. Zinner +1 more·May 20, 2025
Quantum error correction is essential for achieving fault-tolerant quantum computing. Gottesman-Kitaev-Preskill (GKP) codes are particularly effective at correcting continuous noise, such as Gaussian noise and loss, and can significantly reduce overh...
RISC-Q: A Generator for Real-Time Quantum Control System-on-Chips Compatible with RISC-V
Junyi Liu, Yi Lee, Haowei Deng +3 more·May 20, 2025
Quantum computing imposes stringent requirements for the precise control of large-scale qubit systems, including, for example, microsecond-latency feedback and nanosecond-precision timing of gigahertz signals -- demands that far exceed the capabiliti...
Correlated noise can be beneficial to quantum transducers
Yu-Bo Hou, Xiao Ai, Ruizhe You +1 more·May 20, 2025
Quantum systems are inherently susceptible to noise—a notorious factor that induces decoherence and limits the performance of quantum applications. To mitigate its detrimental effects, various techniques have been developed, including cryogenic cooli...
Distributed quantum computing with black-box subroutines
Xiang Xu, Yuan-Dong Liu, Sha Shi +2 more·May 20, 2025
In this work, we propose a general protocol for distributed quantum computing that accommodates arbitrary unknown subroutines. It can be applied to scale up quantum computing through multi-chip interconnection, as well as to tasks such as estimating ...
Solving MNIST with a globally trained Mixture of Quantum Experts
Paolo Alessandro Xavier Tognini, L. Banchi, Giacomo De Palma·May 20, 2025
We propose a new quantum neural network for image classification, which is able to classify the parity of the MNIST dataset with full resolution with a test accuracy of up to 97.5% without any classical pre-processing or post-processing. Our architec...
Fast and close Shannon entropy approximation
I. Horenko, Davide Bassetti, Lukás Pospísil·May 20, 2025
Shannon entropy (SE) and its quantum mechanical analogue von Neumann entropy are key components in many tools used in physics, information theory, machine learning (ML) and quantum computing. Besides of the significant amounts of SE computations requ...
Demonstrating Coherent Quantum Routers for Bucket-Brigade Quantum Random Access Memory on a Superconducting Processor
Sheng Zhang, Yun-Jie Wang, Peng Wang +19 more·May 20, 2025
Quantum routers (QRouters) are essential components of bucket-brigade quantum random access memory (QRAM), enabling quantum applications such as Grover's search and quantum machine learning. Despite significant theoretical advances, achieving scalabl...
Improved Classical Shadow Tomography Using Quantum Computation
Zahra Honjani, Mohsen Heidari·May 20, 2025
Classical shadow tomography (CST) involves obtaining enough classical descriptions of an unknown state via quantum measurements to predict the outcome of a set of quantum observables. CST has numerous applications, particularly in algorithms that uti...
The Application of Quantum Fourier Transform in Cosmic Microwave Background Data Analysis
F. Farsian, T. Trombetti, C. Burigana +11 more·May 20, 2025
The Cosmic Microwave Background (CMB) data analysis and the map-making process rely heavily on the use of spherical harmonics. For suitable pixelizations of the sphere, the (forward and inverse) Fourier transform plays a crucial role in computing all...
State-Based Quantum Simulation: Releasing the Powers of Quantum States and Copies
S. Alipour, A. Rezakhani, Alireza Tavanfar +2 more·May 20, 2025
Quantum computing employs controllable interactions to perform sequences of logical gates and entire algorithms on quantum registers. This paradigm has been widely explored, e.g., for simulating dynamics of manybody systems by decomposing their Hamil...
A quantum unstructured search algorithm for discrete optimisation: the use case of portfolio optimisation
Titos Matsakos, Adrian Lomas·May 20, 2025
We propose a quantum unstructured search algorithm to find the extrema or roots of discrete functions, $f(\mathbf{x})$, such as the objective functions in combinatorial and other discrete optimisation problems. The first step of the Quantum Search fo...
Symmetry-guided quantum state preparation: Branched-Subspaces Adiabatic Preparation (B-SAP)
Davide Cugini, Giacomo Guarnieri, Mario Motta +1 more·May 19, 2025
Quantum state preparation lies at the heart of quantum computation and quantum simulations, enabling the investigation of complex manybody systems across physics, chemistry, and data science. While existing methods such as Variational Quantum Algorit...
OH molecule as a quantum probe to jointly estimate electric and magnetic fields
Luca Previdi, Francesco Albarelli, Matteo G. A. Paris·May 19, 2025
The hydroxyl radical, hereafter referred to as the OH molecule (OHM), carries both electric and magnetic dipole moments and, as a diatomic molecule, admits a comparatively simple and accurate model. This makes it a natural quantum probe for the joint...
Quantum Kinetic Uncertainty Relations in Mesoscopic Conductors at Strong Coupling
Gianmichele Blasi, Ricard Ravell Rodríguez, Mykhailo Moskalets +2 more·May 19, 2025
Kinetic Uncertainty Relations (KURs) set fundamental limits on the precision of nonequilibrium transport by bounding the signal-to-noise ratio of currents in terms of the dynamical activity, a quantity that counts exchange events between a system and...
Verifying Quantum Memory in the Dynamics of Spin Boson Models
Charlotte Bäcker, Valentin Link, Walter T. Strunz·May 19, 2025
We investigate the nature of memory effects in the non-Markovian dynamics of spin boson models. Local quantum memory criteria can be used to indicate that the reduced dynamics of an open system necessarily requires a quantum memory in its environment...