Quantum Brain

Papers

Live trends in quantum computing research, updated daily from arXiv.

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28,402

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13,522 papers in 12 months (-19% vs prior quarter)

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28,402 papers found

Ultra-long-living magnons in the quantum limit

Rostyslav O. Serha, Kaitlin H. McAllister, Fabian Majcen +8 more·May 28, 2025

Solid-state platforms based on bosonic quasiparticles offer a compelling route toward on-chip quantum information technologies scalable to nanometer dimensions. Coherence time, a key figure of merit for any quantum system, is fundamentally limited by...

cond-mat.mtrl-sciQuantum Physics

Importance sampling for data-driven decoding of quantum error-correcting codes

Evan Peters·May 28, 2025

Data-driven decoding (DDD) - learning to decode syndromes of (quantum) error-correcting codes by learning from data - can be a difficult problem due to several atypical and poorly understood properties of the training data. We introduce a theory of e...

Quantum Physics

Flow to Nishimori universality in weakly monitored quantum circuits with qubit loss

Malte Pütz, Romain Vasseur, Andreas W. W. Ludwig +2 more·May 28, 2025

In circuit-based quantum state preparation, qubit loss and coherent errors are circuit imperfections that imperil the formation of long-range entanglement beyond a certain threshold. The critical theory at the threshold is a continuous entanglement t...

Quantum Physicscond-mat.dis-nncond-mat.stat-mechcond-mat.str-el

Disambiguating Pauli noise in quantum computers

Edward H. Chen, Senrui Chen, Laurin E. Fischer +7 more·May 28, 2025

To successfully perform quantum computations, it is often necessary to first accurately characterize the noise in the underlying hardware. However, it is well known that fundamental limitations prevent the unique identification of the noise. This rai...

Quantum Physics

Numerical Optimization Strategies for the Variational Hamiltonian Ansatz in Noisy Quantum Environments

S. Illésová, V. Novák, T. Bezděk +2 more·May 28, 2025

The prevalence of variational methods in near-term quantum computing makes optimizer choice critical, yet selection is frequently intuition-based. We therefore present a systematic benchmark of eight classical optimization algorithms for variational ...

Quantum Physicsmath.NA

Configuration-dependent precision in magnetometry and thermometry using multi-qubit quantum sensors

Asghar Ullah, Özgür E. Müstecaplıoğlu, Matteo G. A. Paris·May 28, 2025

We study the performance of quantum sensors composed of four qubits arranged in different geometries for magnetometry and thermometry. The qubits interact via the transverse-field Ising model with both ferromagnetic and antiferromagnetic couplings, m...

Quantum Physics

Low crosstalk in a scalable superconducting quantum lattice

Mohammed Alghadeer, Shuxiang Cao, S. Fasciati +5 more·May 28, 2025

Superconducting quantum circuits are a key platform for advancing quantum information processing and simulation. Scaling efforts currently encounter challenges such as Josephson-junction fabrication yield, design frequency targeting, and long-range c...

Physics

Benincasa-Dowker causal set actions by quantum counting

Sean A. Adamson, P. Wallden·May 28, 2025

Causal set theory is an approach to quantum gravity in which spacetime is fundamentally discrete while retaining local Lorentz invariance. The Benincasa--Dowker action is the causal set equivalent to the Einstein--Hilbert action underpinning Einstein...

Physics

Assessing Quantum Advantage for Gaussian Process Regression

Dominic Lowe, M. S. Kim, Roberto Bondesan·May 28, 2025

Gaussian Process Regression is a well-known machine learning technique for which several quantum algorithms have been proposed. We show here that in a wide range of scenarios these algorithms show no exponential speedup. We achieve this by rigorously...

Computer SciencePhysics

Closing the Quantum-Classical Scaling Gap in Approximate Optimization

J. Pawlowski, P. Tarasiuk, J. Tuziemski +2 more·May 28, 2025

In a recent study (Ref. [1]), quantum annealing was reported to exhibit a scaling advantage for approximately solving Quadratic Unconstrained Binary Optimization (QUBO). However, this claim critically depends on the choice of classical reference algo...

Physics

Routing-Aware Placement for Zoned Neutral Atom-based Quantum Computing

Yannick Stade, Wan-Hsuan Lin, Jason Cong +1 more·May 28, 2025

Quantum computing promises to solve previously intractable problems, with neutral atoms emerging as a promising technology. Zoned neutral atom architectures allow for immense parallelism and higher coherence times by shielding idling atoms from inter...

Computer SciencePhysics

Interpolation of Quantum Polar Codes and Quantum Reed-Muller Codes

Keita Hidaka, Dina Abdelhadi, ruediger. urbanke·May 28, 2025

Good quantum error-correcting codes that fulfill practical considerations, such as simple encoding circuits and efficient decoders, are essential for functional quantum information processing systems. Quantum polar codes satisfy some of these require...

Computer SciencePhysicsMathematics

Timelike Quantum Energy Teleportation in the Nambu-Jona-Lasinio Model

Fidele J. Twagirayezu·May 28, 2025

We propose a novel timelike quantum energy teleportation (QET) protocol within the 1+1 dimensional Nambu-Jona-Lasinio (NJL) model, an interacting fermionic field theory exhibiting spontaneous chiral symmetry breaking. By coupling localized Unruh-DeWi...

Physics

Optimizing QUBO on a quantum computer by mimicking imaginary time evolution

Yahui Chai, Alice di Tucci·May 28, 2025

We propose a hybrid quantum-classical algorithm for solving QUBO problems using an Imaginary Time Evolution-Mimicking Circuit (ITEMC). The circuit parameters are optimized to closely mimic imaginary time evolution, using only single- and two-qubit ex...

Physics

Quantum simulation of charge and exciton transfer in multi-mode models using engineered reservoirs

Visal So, Midhuna Duraisamy Suganthi, Mingjian Zhu +7 more·May 28, 2025

Quantum simulation enables studies of open-system dynamics in non-perturbative regimes by programming electronic, vibrational, and environmental interactions on comparable energy scales. Trapped ions offer this capability, combining spins, phonons, a...

PhysicsMedicine

SAT Strikes Back: Parameter and Path Relations in Quantum Toolchains

Lukas Schmidbauer, Wolfgang Mauerer·May 28, 2025

In the foreseeable future, toolchains for quantum computing should offer automatic means of transforming a high level problem formulation down to a hardware executable form. Thereby, it is crucial to find (multiple) transformation paths that are opti...

Computer SciencePhysics

Variational Quantum Simulations of a Two-Dimensional Frustrated Transverse-Field Ising Model on a Trapped-Ion Quantum Computer

Ammar Kirmani, Elijah Pelofske, Andreas Bartschi +2 more·May 28, 2025

Quantum computers are an ideal platform to study the ground state properties of strongly correlated systems due to the limitation of classical computing techniques particularly for systems exhibiting quantum phase transitions. While the error rates o...

Physics

Depth-Based Matrix Classification for the HHL Quantum Algorithm

Mark Danza, S. L. Alarcón, Cory Merkel·May 28, 2025

Under the nearing error-corrected era of quantum computing, it is necessary to understand the suitability of certain post-NISQ algorithms for practical problems. One of the most promising, applicable and yet difficult to implement in practical terms ...

PhysicsComputer Science

Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion

Marco Parigi, Stefano Martina, Francesco Aldo Venturelli +1 more·May 28, 2025

Quantum Diffusion Models (QDMs) are an emerging paradigm in Generative AI that aims to use quantum properties to improve the performances of their classical counterparts. However, existing algorithms are not easily scalable due to the limitations of ...

Computer SciencePhysics

Quantum Reservoir Computing for Corrosion Prediction in Aerospace: A Hybrid Approach for Enhanced Material Degradation Forecasting

Akshat Tandon, James Brown, Kenneth Heitritter +5 more·May 28, 2025

The prediction of material degradation is an important problem to solve in many industries. Environmental conditions, such as humidity and temperature, are important drivers of degradation processes, with corrosion being one of the most prominent one...

Physics
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