Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
26,835
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452
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Research Volume
12,423 papers in 12 months (-19% vs prior quarter)
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Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
QASMTrans: An End-to-End QASM Compilation Framework with Pulse Generation for Near-Term Quantum Devices
Aaron Hoyt, Meng Wang, Fei Hua +8 more·Feb 5, 2026
QASMTrans is a lightweight, high-performance, C++-based quantum compiler that bridges abstract quantum algorithms to device-level control and is designed for just-in-time (JIT) deployment on QPU testbeds with tightly integrated FPGAs or CPUs. We focu...
Distributed Quantum Error Mitigation: Global and Local ZNE encodings
Maria Gragera Garces·Feb 4, 2026
Errors are the primary bottleneck preventing practical quantum computing. This challenge is exacerbated in the distributed quantum computing regime, where quantum networks introduce additional communication-induced noise. While error mitigation techn...
Requirements for Teleportation in an Intercity Quantum Network
Soubhadra Maiti, Guus Avis, Sounak Kar +1 more·Feb 4, 2026
We investigate the hardware requirements for quantum teleportation in an intercity-scale network topology consisting of two metropolitan-scale networks connected via a long-distance backbone link. Specifically, we identify the minimal improvements re...
Digital signatures with classical shadows on near-term quantum computers
Pradeep Niroula, Minzhao Liu, Sivaprasad Omanakuttan +15 more·Feb 4, 2026
Quantum mechanics provides cryptographic primitives whose security is grounded in hardness assumptions independent of those underlying classical cryptography. However, existing proposals require low-noise quantum communication and long-lived quantum ...
Review of Superconducting Qubit Devices and Their Large-Scale Integration
Hiu Yung Wong·Feb 4, 2026
The superconducting qubit quantum computer is one of the most promising quantum computing architectures for large-scale integration due to its maturity and close proximity to the well-established semiconductor manufacturing infrastructure. From an ed...
Enabling large-scale digital quantum simulations with superconducting qubits
Laurin E. Fischer·Feb 4, 2026
Quantum computing promises to revolutionize several scientific and technological domains through fundamentally new ways of processing information. Among its most compelling applications is digital quantum simulation, where quantum computers are used ...
Squeezing-Enhanced Rotational Doppler Metrology
Javier Navarro, Mateo Casariego, Gabriel Molina-Terriza +2 more·Feb 4, 2026
A rotating surface can induce a frequency shift in incident light by changing its angular momentum, a phenomenon known as the rotational Doppler effect. This effect provides a means to estimate the angular velocity of the rotating surface. In this wo...
Optimal Control Design Guided by Adam Algorithm and LSTM-Predicted Open Quantum System Dynamics
JunDong Zhong, ZhaoMing Wang·Feb 4, 2026
The realization of high-fidelity quantum control is crucial for quantum information processing, particularly in noisy environments where control strategies must simultaneously achieve precise manipulation and effective noise suppression. Conventional...
Squeezing Enhanced Sagnac Sensing based on SU(1,1) Quantum Interference
Michal Natan, Saar Levin, Avi Pe'er·Feb 4, 2026
We present a simple and robust design for a squeezing-enhanced Sagnac interferometer that employs the concept of SU(1,1) interference to significantly surpass the classical sensitivity limit (shot-noise limit - SNL) in rotational sensing. By strategi...
Accelerating qubit reset through the Mpemba effect
Théo Lejeune, Miha Papič, John Goold +3 more·Feb 3, 2026
Passive qubit reset is a key primitive for quantum information processing, whereby qubits are initialized by allowing them to relax to their ground state through natural dissipation, without the need for active control or feedback. However, passive r...
Stochastic Thermodynamics of Quantum-Induced Stochastic Dynamics
Pedro V. Paraguassú·Feb 3, 2026
Quantum-Induced Stochastic Dynamics arises from the coupling between a classical system and a quantum environment. Unlike standard thermal reservoirs, this environment acts as a dynamic bath, capable of simultaneously exchanging heat and performing w...
Detecting quantum noise of a solid-state spin ensemble with dispersive measurement
Mikhail Mamaev, Jayameenakshi Venkatraman, Martin Koppenhöfer +2 more·Feb 3, 2026
We theoretically explore protocols for measuring the spin polarization of an ensemble of solid-state spins, with precision at or below the standard quantum limit. Such measurements in the solid-state are challenging, as standard approaches based on o...
Fluctuations of the inverted magnetic state and how to sense them
Anna-Luisa E. Römling, Artim L. Bassant, Rembert A. Duine·Feb 3, 2026
Magnons are the low-energy excitations of magnetically ordered materials. While the magnetic moment of a ferromagnet aligns with an applied magnetic field, it has been experimentally shown that the magnetic order can be inverted by injecting spin cur...
An Evaluation of the Remote CX Protocol under Noise in Distributed Quantum Computing
Leo Sünkel, Michael Kölle, Tobias Rohe +1 more·Feb 3, 2026
Quantum computers connected through classical and quantum communication channels can be combined to function as a single unit to run large quantum circuits that each device is unable to execute on their own. The distributed quantum computing paradigm...
Stochastic Spiking Neuron Based SNN Can be Inherently Bayesian
Huannan Zheng, Jingli Liu, Kezhou Yang·Feb 3, 2026
Uncertainty in biological neural systems appears to be computationally beneficial rather than detrimental. However, in neuromorphic computing systems, device variability often limits performance, including accuracy and efficiency. In this work, we pr...
Investigating Quantum Circuit Designs Using Neuro-Evolution
Devroop Kar, Daniel Krutz, Travis J. Desell·Feb 3, 2026
Designing effective quantum circuits remains a central challenge in quantum computing, as circuit structure strongly influences expressivity, trainability, and hardware feasibility. Current approaches, whether using manually designed circuit template...
Guaranteeing Privacy in Hybrid Quantum Learning through Theoretical Mechanisms
Hoang M. Ngo, Tre' R. Jeter, Incheol Shin +3 more·Feb 2, 2026
Quantum Machine Learning (QML) is becoming increasingly prevalent due to its potential to enhance classical machine learning (ML) tasks, such as classification. Although quantum noise is often viewed as a major challenge in quantum computing, it also...
On Quantum Learning Advantage Under Symmetries
Tuyen Nguyen, Mária Kieferová, Amira Abbas·Feb 2, 2026
Symmetry underlies many of the most effective classical and quantum learning algorithms, yet whether quantum learners can gain a fundamental advantage under symmetry-imposed structures remains an open question. Based on evidence that classical statis...
Spin Relaxometry with Solid-State Defects: Theory, Platforms, and Applications
Ruotian Gong, Alex L. Melendez, Guanghui He +3 more·Feb 2, 2026
Spin relaxometry using solid-state spin defects, such as the diamond nitrogen-vacancy (NV) center, probes dynamical processes by measuring how environmental fluctuations enhance the spin relaxation rate. In the weak-coupling limit, relaxation rates s...
Methods for non-variational heuristic quantum optimisation
Stuart Ferguson, Petros Wallden·Feb 1, 2026
Optimisation plays a central role in a wide range of scientific and industrial applications, and quantum computing has been widely proposed as a means to achieve computational advantages in this domain. To date, research into the design of noise-resi...