Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Dimension reduction with structure-aware quantum circuits for hybrid machine learning
A. Daskin·Jul 31, 2025
Schmidt decomposition of a vector can be understood as writing the singular value decomposition (SVD) in vector form. A vector can be written as a linear combination of tensor product of two dimensional vectors by recursively applying Schmidt decompo...
Intrinsic heralding and optimal decoders for non-Abelian topological order
D. Jing, Pablo Sala, Liang Jiang +1 more·Jul 31, 2025
Topological order (TO) provides a natural platform for storing and manipulating quantum information. However, its stability to noise has only been systematically understood for Abelian TOs. In this work, we exploit the non-deterministic fusion of non...
Enhanced Extrapolation-Based Quantum Error Mitigation Using Repetitive Structure in Quantum Algorithms
Boseon Kim, Wooyeong Song, Kwang-il Bae +2 more·Jul 31, 2025
Quantum error mitigation is a crucial technique for suppressing errors especially in noisy intermediate-scale quantum devices, enabling more reliable quantum computation without the overhead of full error correction. Zero-Noise Extrapolation (ZNE), w...
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...
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 ...
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...
Complexity in multi-qubit and many-body systems
Imre Varga·Jul 29, 2025
Characterizing complexity and criticality in quantum systems requires diagnostics that are both computationally tractable and physically insightful. We apply a measure of quantum state complexity for n-qubit systems, defined as the divergence between...
Sampling (noisy) quantum circuits through randomized rounding
Victor Martinez, Omar Fawzi, Daniel Stilck França·Jul 29, 2025
The present era of quantum processors with hundreds to thousands of noisy qubits has sparked interest in understanding the computational power of these devices and how to leverage it to solve practically relevant problems. For applications that requi...
Complete Positivity of Subsystems in Quantum Dynamics
Anumita Mukhopadhyay, Praggnyamita Ghosh, Shibdas Roy·Jul 29, 2025
Although many quantum channels satisfy Completely Positive Trace Preserving (CPTP) condition, there are valid quantum channels that can be non-completely positive (NCP). As memory effects can provide advantages in the dynamics of noisy quantum system...
Evaluation of Noise and Crosstalk in Neutral Atom Quantum Computers
Pranet Sharma, Yizhuo Tan, K. Papadopoulos +1 more·Jul 29, 2025
This work explores and evaluates noise and crosstalk in neutral atom quantum computers. Neutral atom quantum computers are a promising platform for analog Hamiltonian simulations, which rely on a sequence of time-dependent Hamiltonians to model the d...
Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware
Djamil Lakhdar-Hamina, Xingxin Liu, Richard Barney +4 more·Jul 28, 2025
We implement a quantum generalization of a neural network on trapped-ion and IBM superconducting quantum computers to classify MNIST images, a common benchmark in computer vision. The network feedforward involves qubit rotations whose angles depend o...
Quantitative analysis of the effectiveness of mid-anneal measurement in quantum annealing
Keita Takahashi, Shu Tanaka·Jul 27, 2025
Quantum annealing is a promising metaheuristic for solving constrained combinatorial optimization problems. However, parameter tuning difficulties and hardware noise often prevent optimal solutions from being properly encoded as the ground states of ...
Resource-Efficient Hadamard Test Tailored Variational Framework for Nonlinear Dynamics on Quantum Computers
Eleftherios Mastorakis, Muhammad Umer, Milena Guevara-Bertsch +3 more·Jul 25, 2025
Resource-efficient, low-depth implementations of quantum circuits remain a promising strategy for achieving reliable and scalable computation on quantum hardware, as they reduce gate resources and limit the accumulation of noisy operations. Here, we ...
Directional Codes: a new family of quantum LDPC codes on hexagonal- and square-grid connectivity hardware
G. Geh'er, David Byfield, Archibald Ruban·Jul 25, 2025
Utility-scale quantum computing requires quantum error correction (QEC) to protect quantum information against noise. Currently, superconducting hardware is a promising candidate for achieving fault tolerance due to its fast gate times and feasible s...
Almost fault-tolerant quantum machine learning with drastic overhead reduction
Haiyue Kang, Younghun Kim, Eromanga Adermann +2 more·Jul 25, 2025
Errors in the current generation of quantum processors pose a significant challenge towards practical-scale implementations of quantum machine learning (QML) as they lead to trainability issues arising from noise-induced barren plateaus, as well as p...
Secure One-Sided Device-Independent Quantum Key Distribution Under Collective Attacks with Enhanced Robustness
Pritam Roy, Subhankar Bera, A. S. Majumdar·Jul 24, 2025
We study the security of a quantum key distribution (QKD) protocol under the one-sided device-independent (1sDI) setting, which assumes trust in only one party's measurement device. This approach effectively provides a balance between the experimenta...
Average-computation benchmarking for local expectation values in digital quantum devices
Flavio Baccari, Pavel Kos, Georgios Styliaris·Jul 24, 2025
As quantum devices progress towards a quantum advantage regime, they become harder to benchmark. A particularly relevant challenge is to assess the quality of the whole computation, beyond testing the performance of each single operation. Here we int...
Non-perturbative switching rates in bistable open quantum systems: from driven Kerr oscillators to dissipative cat qubits
Léon Carde, Ronan Gautier, Nicolas Didier +3 more·Jul 24, 2025
In this work, we use path integral techniques to predict the switching rate in a single-mode bistable open quantum system. While analytical expressions are well-known to be accessible for systems subject to Gaussian noise obeying classical detailed b...
Quantum Machine Learning for Predicting Binding Free Energies in Structure-Based Virtual Screening
Pei-Kun Yang·Jul 24, 2025
In structure-based virtual screening, it is often necessary to evaluate the binding free energy of protein-ligand complexes by considering not only molecular conformations but also how these structures shift and rotate in space. The number of possibl...